Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM
Open accessAbstract
The joint consensus panel of the European Atherosclerosis Society (EAS) and the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) recently addressed present and future challenges in the laboratory diagnostics of atherogenic lipoproteins. Total cholesterol, triglycerides, HDL cholesterol, LDL cholesterol, and calculated non-HDL cholesterol (=total - HDL cholesterol) constitute the primary lipid panel for estimating risk of atherosclerotic cardiovascular disease (ASCVD) and can be measured in the nonfasting state. LDL cholesterol is the primary target of lipid-lowering therapies. For on-treatment follow-up, LDL cholesterol shall be measured or calculated by the same method to attenuate errors in treatment decisions due to marked between-method variations. Lipoprotein(a)-cholesterol is part of measured or calculated LDL cholesterol and should be estimated at least once in all patients at risk of ASCVD, especially in those whose LDL cholesterol decline poorly upon statin treatment. Residual risk of ASCVD even under optimal LDL-lowering treatment should be also assessed by non-HDL cholesterol or apolipoprotein B, especially in patients with mild-to-moderate hypertriglyceridemia (2-10 mmol/L). Non-HDL cholesterol includes the assessment of remnant lipoprotein cholesterol and shall be reported in all standard lipid panels. Additional apolipoprotein B measurement can detect elevated LDL particle numbers often unidentified on the basis of LDL cholesterol alone. Reference intervals of lipids, lipoproteins, and apolipoproteins are reported for European men and women aged 20-100 years. However, laboratories shall flag abnormal lipid values with reference to therapeutic decision thresholds.
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Claims the paper makes
100 of 160 cited sources checked · 50 supported · 1 flagged · accuracy not yet measured
- Interpretationcitation
Replacing LDLC by apoB would identify more individuals with increased risk of ASCVD.
“suggesting that replacing LDLC by apoB would identify more individuals with increased risk of ASCVD [74]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [74] Welsh, 2019, Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease. Data from UK biobank, Circulation source
The Discussion (page unavailable) concludes that replacing standard cholesterol measures with apolipoproteins does not improve CVD risk prediction. The Results likewise report no improvement in risk classification from adding an apolipoprotein measure to a model containing total cholesterol and HDL-C. The paper therefore does not support the claim that substituting apoB for LDL-C would identify more people at increased risk. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
All LDL particles are atherogenic, regardless of size.
“While earlier studies emphasized the atherogenicity of small LDL particles, it is now recognized that all LDL particles are atherogenic, regardless of size [10].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [10] Mora, 2009, Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use, Circulation source
- Interpretationcitation
Nonfasting lipid profiles can potentially be more relevant to the estimation of an individual's cardiovascular risk than fasting lipids since in real life the postprandial state predominates most of the 24-h cycle.
“Nonfasting lipid profiles, therefore, can potentially be more relevant to the estimation of an individual's cardiovascular risk than fasting lipids since in real life the postprandial state predominates most of our 24-h cycle [15,16].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [15] Mora, 2008, Fasting compared with nonfasting lipids and apolipoproteins for predicting incident cardiovascular events, Circulation source
The Discussion (page unavailable) reports that several lipids predict cardiovascular events when measured nonfasting, supporting the possibility that nonfasting measurements are useful. It also says total, LDL, and non-HDL cholesterol may provide less useful risk information when measured nonfasting. The paper does not establish that nonfasting lipid profiles are generally more relevant because the postprandial state predominates over a 24-hour cycle. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [16] Nordestgaard, 2017, A test in context: lipid profile, fasting versus non-fasting, J. Am. Coll. Cardiol. source
- Premisecitation
In patients with mild-to-moderate hypertriglyceridemia, defined as 2-10 mmol/L, elevated baseline and on-treatment apoB helps identify the atherogenic dyslipidemia related to remnant lipoproteins combined with small dense LDL particles that is not reflected by LDLC and non-HDLC.
“In patients with mild-to-moderate hypertriglyceridemia, defined as 2-10 mmol/L [33], elevated baseline and on-treatment apoB helps identify the atherogenic dyslipidemia related to remnant lipoproteins combined with small dense LDL particles that is not reflected by LDLC and non-HDLC.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Hegele, 2014, European Atherosclerosis Society Consensus Panel. The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management, Lancet Diabetes Endocrinol. source
- Premisecitation
Monogenic disorders such as familial hypercholesterolemia (FH) can be easily recognized from the standard lipid panel without the need to measure apoB.
“Monogenic disorders such as familial hypercholesterolemia (FH) can be easily recognized from the standard lipid panel without the need to measure apoB [31,32].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [31] Nordestgaard, 2013, Eur. Heart J. source
The Diagnosis section (page not provided) identifies very high LDL cholesterol on repeated measurements as a criterion for FH, and its diagnostic criteria do not require an apoB measurement. But it also calls for considering family and clinical history, physical findings, genetic testing, and secondary causes; it does not say FH can generally be easily recognized from a standard lipid panel alone. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [32] Wiegman, 2015, European Atherosclerosis Society Consensus Panel. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment, Eur. Heart J. source
The Diagnosis section and Table 2 support using LDL-C from cholesterol testing to identify probable paediatric FH without listing apoB measurement as a requirement. But they also call for family history, repeat LDL-C testing and evaluation of secondary causes; genetic testing establishes the diagnosis. The paper therefore does not support the broader claim that FH is easily recognized from a standard lipid panel alone. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Many individuals experience ASCVD-related events or progression of atherosclerosis despite not having elevated LDLC or even concentrations <1.8 mmol/L.
“Despite the overwhelming evidence that LDLC-targeted therapies effectively reduce ASCVD in the population, many individuals experience ASCVD-related events or progression of atherosclerosis despite not having elevated LDLC or even concentrations < 1.8 mmol/L [9].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [9] Mudd, 2007, Beyond low-density lipoprotein cholesterol: defining the role of low-density lipoprotein heterogeneity in coronary artery disease, J. Am. Coll. Cardiol. source
The Abstract says that most CAD events were not prevented despite aggressive LDL-C lowering, and Treatment Implications of LDL Heterogeneity explains that patients can have elevated risk with low or normal LDL-C. The paper discusses a 70 mg/dL (approximately 1.8 mmol/L) treatment goal, but these passages do not establish that many people experienced events or atherosclerosis progression while their LDL-C was below that level. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Interpretationcitation
The number of LDL particles (LDLP) measured by lipoprotein subfractionation techniques is more strongly causally related to ASCVD than the cholesterol content of the particles.
“This residual risk indicates that a focus solely on the measurement of LDLC is not an optimal strategy for all patients, in part explained by accumulating evidence that the number of LDL particles (LDLP) measured by lipoprotein subfractionation techniques is more strongly causally related to ASCVD than the cholesterol content of the particles [9,10].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [9] Mudd, 2007, Beyond low-density lipoprotein cholesterol: defining the role of low-density lipoprotein heterogeneity in coronary artery disease, J. Am. Coll. Cardiol. source
The Abstract and “Beyond LDL-C and Non-HDL-C” sections say LDL-C can underrepresent particle number and that particle-number-related measures can better predict CAD risk. The “Other assessments of LDL particle number and size” section reports associations between LDL-P and atherosclerosis, but the paper does not establish the claim’s stronger causal comparison with cholesterol content. The “Treatment Implications” section says it remains unresolved whether CAD risk is related to LDL-P itself or also independently to particle size; page numbers were unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [10] Mora, 2009, Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use, Circulation source
Section 1.A says CVD risk is more closely associated with NMR LDL particle concentration than with LDL cholesterol. That supports the comparison, but the paper describes an association, not a stronger causal relationship to ASCVD; it also says the clinical value of particle testing remains uncertain. The indexed passages provide no page numbers. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Mendelian randomization studies suggest that life-long high serum concentrations of TG-rich lipoproteins or their remnants are causally associated with increased risk of ASCVD and all-cause mortality.
“Mendelian randomization studies suggest that life-long high serum concentrations of TG-rich lipoproteins or their remnants are causally associated with increased risk of ASCVD and all-cause mortality [17,18].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
- cites [18] Thomsen, 2014, Low nonfasting triglycerides and reduced all-cause mortality: a mendelian randomization study, Clin. Chem. source
- Premisecitation
Small lipid-depleted LDL subfractions are typically predominant in patients with moderately elevated TG concentrations or related conditions, such as diabetes and the metabolic syndrome, without necessarily having high LDLC concentration.
“They are typically predominant in patients with moderately elevated triglyceride (TG) concentrations or related conditions, such as diabetes and the metabolic syndrome, without necessarily having high LDLC concentration [11].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Miller, 2011, Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association, Circulation source
- Premisecitation
Postprandial accumulation of TG-rich remnant particles in blood is an important factor in atherogenesis.
“Postprandial accumulation of TG-rich remnant particles in blood is an important factor in atherogenesis [13,14].”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
Small lipid-depleted LDL subfractions contain less cholesterol than larger ones.
“Small lipid-depleted LDL subfractions contain less cholesterol than larger ones.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [11] Miller, 2011, Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association, Circulation source
- Premisecitation
Elevated baseline and on-statin treatment Lp(a) concentration above the 80th percentile of the general population (50 mg/dL) is a strong genetic risk factor for cardiovascular disease independent of LDLC.
“Elevated baseline and on-statin treatment Lp(a) concentration above the 80th percentile of the general population (50 mg/dL) is a strong genetic risk factor for cardiovascular disease independent of LDLC [23,24].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [23] Nordestgaard, 2016, Lipoprotein(a) as a cause of cardiovascular disease: insights from epidemiology, genetics, and biology, J. Lipid Res. source
The Abstract identifies concentrations above 50 mg/dL as the highest-risk 20% and describes genetic evidence that elevated Lp(a) causes cardiovascular disease. The Familial Hypercholesterolemia section says this risk is irrespective of LDL-cholesterol concentration. The passages do not establish the claim specifically for Lp(a) measured during statin treatment. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [24] Willeit, 2018, Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials, Lancet source
- Premisecitation
Findings from population studies showed that despite minor postprandial increases in TG and RemnantC, quantitative changes in other lipids, lipoproteins, and apolipoproteins appear to be negligible in response to the habitual meal intake for most individuals.
“Findings from population studies showed that despite minor postprandial increases in TG and RemnantC, quantitative changes in other lipids, lipoproteins, and apolipoproteins appear to be negligible in response to the habitual meal intake for most individuals [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
- Findingcitation
This may erroneously exclude >20% of patients for initiation or intensification of lipid-lowering therapy.
“This may erroneously exclude > 20% of patients for initiation or intensification of lipid-lowering therapy [45].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [45] Martin, 2013, Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications, J. Am. Coll. Cardiol. source
The Results report that 23% of patients with Friedewald-estimated LDL-C below 70 mg/dl had directly measured LDL-C of at least 70 mg/dl. The Conclusions say this could lead to undertreatment, but the >20% figure applies to that subgroup, not all patients. The Study limitations also state that treatment implications were inferred from lipid profiles rather than observed treatment decisions. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingcitation
A concentration of nonfasting TG ≥4.5 mmol/L is seen in ~3-5% of nonfasting individuals in the general population.
“Fasting is an option when nonfasting TG are ≥4.5 mmol/L, a concentration seen in ~3-5% of nonfasting individuals in the general population (Tables 23) [17]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
The Measurement and Population Distribution section reports that 27% of adults in the Copenhagen population have triglycerides of 2–10 mmol/L, but gives no prevalence for nonfasting triglycerides ≥4.5 mmol/L. Figure 2 shows a distribution, yet the text available in our copy does not establish the claimed ~3–5% figure. I searched for the 4.5 mmol/L threshold and its associated percentage. (LLM, conf=0.72)
Experimental — accuracy not yet measured
- Premisecitation
Nonfasting lipid profiles are now endorsed by several guidelines including those in Europe, the UK, Canada, Brazil, and the US.
“Nonfasting lipid profiles are now endorsed by several guidelines including those in Europe, the UK, Canada, Brazil, and the US [4][5][6]35,38].”
Quote in the paperNot a substantial claim2 of 5 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
- cites [5] Anderson, 2016, Canadian cardiovascular society guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in the adult, Can. J. Cardiol. source
- cites [6] Grundy, 2018, AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American college of cardiology/American heart association Task force on clinical practice guidelines, J. Am. Coll. Cardiol. source
The guideline’s Primary Prevention section says screening can use fasting or nonfasting lipid measurements, supporting the US portion of the claim. Our copy does not establish endorsement by guidelines in the UK, Canada, or Brazil; it lists a European consensus statement in the references but does not substantiate the full international list. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [35] Langsted, 2019, Nonfasting versus fasting lipid profile for cardiovascular risk prediction, Pathology source
- cites [38] National Institute for Health and Care Excellence (NICE)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
Even in normotriglyceridemic samples and in samples with moderately elevated TG concentrations 2.0-4.5 mmol/L, dLDLC may not always agree with Friedewald cLDLC and translate to discrepant risk classifications as observed in fasting as well as nonfasting individuals.
“Even in normotriglyceridemic samples and in samples with moderately elevated TG concentrations 2.0-4.5 mmol/L, dLDLC may not always agree with Friedewald cLDLC and translate to discrepant risk classifications as observed in fasting as well as nonfasting individuals [51].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Mora, 2009, Comparison of LDL cholesterol concentrations by Friedewald calculation and direct measurement in relation to cardiovascular events in 27,331 women, Clin. Chem. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
There is a direct, consistent relationship between the magnitude of non-HDLC lowering and cardiovascular risk reduction observed in meta-analyses and trials with statins and other lipid-lowering agents.
“Like LDLC, non-HDLC is treatable with existing lipid-lowering agents and there is a direct, consistent relationship between the magnitude of non-HDLC lowering and cardiovascular risk reduction observed in meta-analyses and trials with statins and other lipid-lowering agents [56,57].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [56] Robinson, 2009, Meta-analysis of the relationship between non-high-density lipoprotein cholesterol reduction and coronary heart disease, J. Am. Coll. Cardiol. source
- cites [57] Silverman, 2016, Association between lowering LDL-C and cardiovascular risk reduction among different therapeutic interventions: a systematic review and meta-analysis, J. Am. Med. Assoc. source
- Premisecitation
Most clinical trials demonstrating the evidence base for clinical benefit of LDLC lowering have used Friedewald cLDLC.
“It should be noted that most clinical trials demonstrating the evidence base for clinical benefit of LDLC lowering have used Friedewald cLDLC; thus it cannot be excluded that dLDLC rather than cLDLC is the method that misclassifies risk [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
In “DISCORDANT cLDLC VS dLDLC” (p. 11), the paper says that most trials establishing the benefit of LDL-C lowering *with statin therapy* used the Friedewald equation. The citing claim omits the statin-therapy qualifier, extending the statement to LDL-C-lowering trials generally. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Interpretationcitation
Nonfasting lipid profiles represent an operational simplification without significant negative implications for prognostic, diagnostic, and therapeutic options for ASCVD prevention.
“For patients, laboratories, and clinicians alike, nonfasting lipid profiles represent an operational simplication without significant negative implications for prognostic, diagnostic, and therapeutic options for ASCVD prevention [36].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [36] Mora, 2019, Association of nonfasting vs fasting lipid levels with risk of major coronary events in the Anglo-Scandinavian cardiac outcomes trial-lipid lowering arm, JAMA Intern. Med. source
- Interpretationcitation
Non-HDLC provides a more comprehensive risk assessment than LDLC in certain individuals with hypertriglyceridemia because it adds RemnantC to LDLC and, therefore, takes into account the atherogenic potential of remnant lipoproteins.
“Non-HDLC provides a more comprehensive risk assessment than LDLC in certain individuals with hypertriglyceridemia because it adds Re-mnantC to LDLC and, therefore, takes into account the atherogenic potential of remnant lipoproteins [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
- Findingcitation
The Martin-Hopkins formula improves the accuracy of cLDLC at various conditions including very low LDLC <1.8 mmol/L and in nonfasting samples.
“The novel Martin-Hopkins formula improves the accuracy of cLDLC at various conditions including very low LDLC < 1.8 mmol/L and in nonfasting samples [47,48].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [47] Sathiyakumar, 2018, Fasting versus nonfasting and low-density lipoprotein cholesterol accuracy, Circulation source
- cites [48] Martin, 2018, Comparison of low-density lipoprotein cholesterol assessment by Martin/Hopkins estimation, Friedewald estimation, and preparative ultracentrifugation: insights from the FOURIER trial, JAMA Cardiol. source
The Results and Conclusions (pages not provided) show that Martin/Hopkins estimates were more accurate than Friedewald estimates in the studied patients with Friedewald LDL-C below 40 mg/dL—well below 1.8 mmol/L (about 70 mg/dL). The paper does not establish improved accuracy in nonfasting samples; nonfasting accuracy appears only in the title of a cited reference. Its findings are also limited to the studied low-LDL-C, PCSK9-inhibitor-treated setting rather than the full range below 1.8 mmol/L. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
The resulting underestimation of LDLC may translate to downward misclassification when using guideline-recommended 1.8 mmol/L or 1.4 mmol/L thresholds for patients at high and very high cardiovascular risk, respectively.
“The resulting underestimation of LDLC may translate to downward misclassification when using guideline-recommended 1.8 mmol/L or 1.4 mmol/L thresholds for patients at high and very high cardiovascular risk, respectively [4].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
- Findingcitation
Most discordances in dyslipidemic samples are observed at lower concentration ranges of LDLC (<1.8 mmol/L) and HDLC (<1.0 mmol/L).
“Most discordances in dyslipidemic samples are observed at lower concentration ranges of LDLC (< 1.8 mmol/L) and HDLC (< 1.0 mmol/L) [42].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [42] Miller, 2010, Seven direct methods for measuring HDL and LDL cholesterol compared with ultracentrifugation reference measurement procedures, Clin. Chem. source
The Results (Trueness and Total Error) say that nearly all discordant results occurred in the diseased group and that, for most methods, they occurred mostly below HDL-C 1.0 mmol/L and LDL-C 2.5 mmol/L. The claimed LDL-C cutoff of 1.8 mmol/L is not the reported discordance range; the Discussion mentions 1.8 mmol/L as a treatment target instead. The Results also note an exception for the UMA methods. (LLM, conf=0.91)
Experimental — accuracy not yet measured
- Interpretationcitation
At very low LDLC concentration ranges <1.8 mmol/L, VLDLC overestimation at high TG concentration >2.3 mmol/L introduces a more significant error in the calculation of cLDLC.
“At very low LDLC concentration ranges < 1.8 mmol/L, in which VLDLC constitutes a relatively larger fraction of the blood cholesterol, VLDLC overestimation at high TG concentration > 2.3 mmol/L introduces a more significant error in the calculation of cLDLC [45].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [45] Martin, 2013, Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications, J. Am. Coll. Cardiol. source
- Findingcitation
Hypertriglyceridemic samples with TG >2 mmol/L are seen in ~25% of individuals in the general population.
“hypertriglyceridemic samples -TG > 2 mmol/L seen in ~25% of individuals in the general population (Tables 23) [17]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
- Premisecitation
The clinical effectiveness of LDLC-guided management of cardiovascular risk is most strongly evidence-based.
“The clinical effectiveness of LDLC-guided management of cardio- vascular risk is most strongly evidence-based [7,8].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [7] Ference, 2017, Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel, Eur. Heart J. source
The Recommendations for treatment section (page unavailable) says that LDL-C reduction lowers atherosclerotic cardiovascular risk and uses baseline LDL-C and baseline risk to estimate treatment benefit. The randomized-trials section (page unavailable) describes compelling clinical evidence for LDL-C-lowering therapies. These passages support LDL-C-informed treatment, but do not establish the claim’s comparative assertion that it is the most strongly evidence-based approach to cardiovascular risk management. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [8] Baigent, 2010, Cholesterol Treatment Trialists' (CTT) Collaboration. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trials, Lancet source
The Discussion reports that greater LDL-cholesterol reductions with statin therapy reduce major vascular events and suggests making LDL reduction a goal for high-risk patients. It does not test LDL-C-guided management as a strategy or establish that its clinical effectiveness is the most strongly evidence-based approach to cardiovascular risk. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
ApoB can be measured in the nonfasting state.
“ApoB can be measured in the nonfasting state because even at peak postprandial concentrations, the number of chylomicron-apoB48 particles in healthy individuals is usually < 1% and the number of VLDL-apoB100 particles is < 10% of the number of LDL-apoB100 particles [12].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Contois, 2009, Apolipoprotein B and cardiovascular disease risk: position statement from the AACC lipoproteins and vascular disease working group on best practices, Clin. Chem. source
- Premisecitation
In ~20% of individuals in whom apoB is discordantly high with respect to population percentiles of LDLC, cardiovascular risk tracks with apoB.
“However, in ~20% of individuals in whom apoB is discordantly high with respect to population percentiles of LDLC, cardiovascular risk tracks with apoB, suggesting that replacing LDLC by apoB would identify more individuals with increased risk of ASCVD [74] -this implies an overall better clinical performance compared to LDLC in particular among this smaller subset of individuals with discordant ap”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [74] Welsh, 2019, Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease. Data from UK biobank, Circulation source
The Discussion reports that apoB was more strongly associated with CVD than LDL-C in a discordant subset comprising 18% of the main cohort, broadly supporting the approximate proportion and risk association. But the Methods define that subset by an absolute percentile difference, so it includes people whose apoB percentile was lower as well as higher than their LDL-C percentile; the paper does not establish the claim specifically for discordantly high apoB. The Discussion also reports no improvement in risk discrimination from adding apolipoproteins in that subset. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Since each atherogenic particle contains one molecule of apoB, concentrations of apoB are considered to be a direct measure of the total number of lipoproteins causing cardiovascular disease, that is, LDL, remnants, and Lp(a).
“Since each atherogenic particle contains one molecule of apoB, concentrations of apoB are therefore considered to be a direct measure of the total number of lipoproteins causing cardiovascular disease, that is, LDL, remnants, and Lp(a) [12].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Contois, 2009, Apolipoprotein B and cardiovascular disease risk: position statement from the AACC lipoproteins and vascular disease working group on best practices, Clin. Chem. source
- Premisecitation
ApoB immunoassays obviate the need for lipoprotein subfractionation techniques such as nuclear magnetic resonance (NMR) spectroscopy or ion mobility to quantify LDLP.
“These immunoassays obviate the need for lipoprotein subfractionation techniques such as nuclear magnetic resonance (NMR) spectroscopy or ion mobility to quantify LDLP and have been shown to be at least equivalent to LDLP in predicting cardiovascular risk [61,62].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [61] Cole, 2013, Association of apolipoprotein B and nuclear magnetic resonance spectroscopy-derived LDL particle number with outcomes in 25 clinical studies: assessment by the AACC Lipoprotein and Vascular Diseases Division Working Group on Best Practices, Clin. Chem. source
- cites [62] Mora, 2015, Circulation source
The paper explains that each VLDL, IDL and LDL particle contains one apoB molecule, so apoB measures total atherogenic lipoprotein concentration (introductory text indexed under Abstract > Conclusions; page unavailable). It distinguishes that measure from LDL particle number, which ion mobility determines directly. It does not say that apoB immunoassays quantify LDL-p specifically or obviate NMR or ion-mobility subfractionation. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
Even when cross-reactivity of immunoassays to apoB48 occurs in nonfasting measurements, apoB quantification is essentially an estimate of LDL particle number if TG and Lp(a) concentrations are low.
“Thus, even when cross-reactivity of immunoassays to apoB48 occurs in nonfasting measurements, apoB quantification is essentially an estimate of LDL particle number if TG and Lp(a) concentrations are low [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
- Interpretationcitation
Replacing LDLC by apoB implies an overall better clinical performance compared to LDLC in particular among individuals with discordant apoB.
“this implies an overall better clinical performance compared to LDLC in particular among this smaller subset of individuals with discordant apoB.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [74] Welsh, 2019, Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease. Data from UK biobank, Circulation source
The Results report that ApoB was more strongly associated with CVD than LDL-C in the discordant subgroup. But the Discussion says that, even in this subgroup, adding apolipoproteins did not improve risk-score discrimination. The stronger association therefore does not establish the claimed overall better clinical performance from replacing LDL-C with ApoB; the paper does not demonstrate that replacement benefit. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Risk associations are similar in nonfasting study populations than in those who did fast.
“Risk associations are similar in nonfasting study populations than in those who did fast [72,74].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [72] Di Angelantonio, 2009, Emerging Risk Factors Collaboration. Major lipids, apolipoproteins, and risk of vascular disease, J. Am. Med. Assoc. source
- cites [74] Welsh, 2019, Comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease. Data from UK biobank, Circulation source
The Methods (page unavailable) state that blood samples were collected without fasting, and the Results (page unavailable) report associations between lipid measures and cardiovascular risk in that cohort. The paper does not compare those associations with associations in a fasting population, so it does not establish that they are similar. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Mendelian randomization studies demonstrated that the reduction in cardiovascular risk associated with genetic variation in clearance and processing of apoB-containing lipoproteins, including LDL particles as well as TG-rich VLDL particles and their remnants, was correlated with the change of concentration of these particles as measured by apoB rather than the cholesterol mass carried by those as
“Furthermore, Mendelian randomization studies demonstrated that the reduction in cardiovascular risk associated with genetic variation in clearance and processing of apoB-containing lipoproteins, including LDL particles as well as TG-rich VLDL particles and their remnants, was correlated with the change of concentration of these particles as measured by apoB rather than the cholesterol mass carried”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [79] Ference, 2017, Association of genetic variants related to CETP inhibitors and statins with lipoprotein levels and cardiovascular risk, J. Am. Med. Assoc. source
The Discussion reports that cardiovascular risk tracked changes in apoB-containing particle concentration more closely than changes in cholesterol mass, and the Key Points describe the corresponding cardiovascular-event association. The paper's stated comparison concerns LDL-C and apoB; our copy does not establish the claim specifically for genetic variation in the clearance and processing of TG-rich VLDL particles and their remnants. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [80] Ference, 2019, Association of triglyceride-lowering LPL variants and LDL-C-lowering LDLR variants with risk of coronary heart disease, J. Am. Med. Assoc. source
- Premisecitation
A TG concentration above 10 mmol/L in nonfasting blood samples is only seen in ~0.1% of individuals in the general population.
“Far higher than the maximum allowed TG concentration of 4.5 mmol/L for cLDLC, most nephelometric and turbidimetric apoB measurements are limited to TG < 10 mmol/L due to interference of light scattering or absorption caused by chylomicrons and large VLDLs; a TG concentration above this limit in nonfasting blood samples is only seen in ~0.1% of individuals in the general population [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
- Premisecitation
Meta-analyses of lipid-lowering trials showed that statins and other therapies which clear apoB-containing lipoproteins by upregulating LDL receptor expression, such as PCSK9 inhibitors, reduce cardiovascular risk proportional to the decrease in apoB concentration observed in these trials.
“Meta-analyses of lipid-lowering trials showed that statins and other therapies which clear apoB-containing lipoproteins by upregulating LDL receptor expression, such as PCSK9 inhibitors, reduce cardiovascular risk proportional to the decrease in apoB concentration observed in these trials [77,78].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [77] Thanassoulis, 2014, Relations of change in plasma levels of LDL-C, non-HDL-C and apoB with risk reduction from statin therapy: a meta-analysis of randomized trials, J. Am. Heart Assoc. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [78] Khan, 2019, Association of lowering apolipoprotein B with cardiovascular outcomes across various lipid-lowering therapies: systematic review and meta-analysis of trials, Eur. J. Prev. Cardiol. source
- Premisecitation
ApoB immunoassays have been shown to be at least equivalent to LDLP in predicting cardiovascular risk.
“These immunoassays obviate the need for lipoprotein subfractionation techniques such as nuclear magnetic resonance (NMR) spectroscopy or ion mobility to quantify LDLP and have been shown to be at least equivalent to LDLP in predicting cardiovascular risk [61,62].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [61] Cole, 2013, Association of apolipoprotein B and nuclear magnetic resonance spectroscopy-derived LDL particle number with outcomes in 25 clinical studies: assessment by the AACC Lipoprotein and Vascular Diseases Division Working Group on Best Practices, Clin. Chem. source
- cites [62] Mora, 2015, Circulation source
The Results (Baseline measures and incident CVD events; page unavailable) report similar associations with cardiovascular events for apoB and ion-mobility-measured LDL-p in the placebo group (hazard ratios per SD: 1.28 and 1.21). The paper does not establish that apoB immunoassays are equivalent predictors or make subfractionation unnecessary; the Results (Incremental prognostic value; page unavailable) instead report improved prediction when ion-mobility subfractions were added to a risk model. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
If the primary target LDLC is at goal, but non-HDLC or apoB are still high, attainment of all three targets will require intensified lipid-lowering therapy, lifestyle (re)inforcement, and/or additional TG-lowering drugs.
“If the primary target LDLC is at goal, but non-HDLC or apoB are still high, attainment of all three targets will require intensified lipidlowering therapy, lifestyle (re)inforcement, and/or additional TG-lowering drugs (e.g., fibrate or omega-3 fatty acids) [4].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
The guidelines’ secondary-goals section (page unavailable) says adjusting lipid-lowering therapy after reaching the LDL-C goal may be considered for patients at very high cardiovascular risk, subject to clinical judgment. The triglyceride-treatment recommendations (page unavailable) also discuss lifestyle measures and possible fibrate or omega-3 use, but under specific triglyceride and risk conditions. They do not say that elevated non-HDL-C or ApoB necessarily requires these measures to attain all three targets. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Given the uncertainty of measurements and calculations of LDLC across different methods and laboratories, in hypertriglyceridemic patients the decision thresholds may not always be assumed to be universally applicable.
“Given the uncertainty of measurements and calculations of LDLC across different methods and laboratories, in hypertriglyceridemic patients the decision thresholds may not always be assumed to be universally applicable [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
- Premisecitation
For LDLC, the decision threshold for initiation of therapeutic intervention varies with the individual's risk score.
“For LDLC, the decision threshold for initiation of therapeutic intervention varies with the individual's risk score (Table 6) [4].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
- Premisecitation
Patients with severe hypertriglyceridemia ≥10 mmol/L and chylomicronemia syndrome usually do not develop premature atherosclerosis.
“For example, patients with severe hypertriglyceridemia ≥10 mmol/L and chylomicronemia syndrome have high risk of acute pancreatitis but usually do not develop premature atherosclerosis, probably because chylomicrons and large VLDLs do not traverse the vascular endothelial barrier [33].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Hegele, 2014, European Atherosclerosis Society Consensus Panel. The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management, Lancet Diabetes Endocrinol. source
The Monogenic hypertriglyceridaemia section (page not provided) says patients with monogenic disorders and triglycerides >10 mmol/L usually do not develop premature atherosclerosis, probably because chylomicrons cannot traverse the vascular endothelial barrier. The Introduction also identifies severe hypertriglyceridaemia as a risk factor for acute pancreatitis. The claim extends the atherosclerosis finding to patients with severe hypertriglyceridaemia and chylomicronemia syndrome generally; the source makes it specifically about monogenic disorders. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Patients with severe hypertriglyceridemia ≥10 mmol/L and chylomicronemia syndrome have high risk of acute pancreatitis.
“For example, patients with severe hypertriglyceridemia ≥10 mmol/L and chylomicronemia syndrome have high risk of acute pancreatitis but usually do not develop premature atherosclerosis, probably because chylomicrons and large VLDLs do not traverse the vascular endothelial barrier [33].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Hegele, 2014, European Atherosclerosis Society Consensus Panel. The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management, Lancet Diabetes Endocrinol. source
- Premisecitation
Risk of ASCVD is more directly related to the number of apoB-containing particles (reflected by apoB measurement) than to the cholesterol content of lipoproteins.
“This is consistent with the notion that risk of ASCVD is more directly related to the number of apoB-containing particles (reflected by apoB measurement) than to the cholesterol content of lipoproteins [10].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [10] Mora, 2009, Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use, Circulation source
- Premisecitation
The compromised accuracy of dHDLC assays in samples with hypertriglyceridemia reduces the benefit in reporting non-HDLC in some individuals in whom an apoB or LDLP measurement may be clinically useful.
“However, the compromised accuracy of dHDLC assays in samples with hypertriglyceridemia reduces the benefit in reporting non-HDLC in some individuals in whom an apoB or LDLP measurement may be clinically useful [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
- Premisecitation
The threshold for fasting TG at 1.7 mmol/L is 0.3 mmol/L lower than for nonfasting TG, corresponding to the mean maximal increase in TG following habitual food intake.
“The threshold for fasting TG at 1.7 mmol/L is 0.3 mmol/L lower than for nonfasting TG, corresponding to the mean maximal increase in TG following habitual food intake [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
- Premisecitation
Lp(a) above the 97.5th percentile (> 120 mg/dL depending on the assay) is associated with very high risk for myocardial infarction and aortic valve stenosis.
“Lp(a) above the 97.5th percentile (> 120 mg/dL depending on the assay) should be noted because of very high risk for myocardial infarction and aortic valve stenosis [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
The “Life-threatening plasma lipid concentrations—what to do?” section and Table 8 link elevated Lp(a) to very high risk of myocardial infarction and aortic valve stenosis and recommend flagging it. But they specify >150 mg/dL (99th percentile), not >120 mg/dL (97.5th percentile); the claimed threshold is not supported. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Triglyceride concentrations > 10 mmol/L (880 mg/dL) indicate severe hypertriglyceridemia with high risk of acute pancreatitis.
“> 10 mmol/L (880 mg/dL): severe hypertriglyceridemia with high risk of acute pancreatitis”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
- Interpretationcitation
Chylomicrons and large VLDLs probably do not traverse the vascular endothelial barrier.
“probably because chylomicrons and large VLDLs do not traverse the vascular endothelial barrier [33].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [33] Hegele, 2014, European Atherosclerosis Society Consensus Panel. The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management, Lancet Diabetes Endocrinol. source
- Premisecitation
Lipoprotein(a) concentrations > 120 mg/dL indicate very high risk for myocardial infarction and aortic valve stenosis.
“> 120 mg/dL: very high risk for myocardial infarction and aortic valve stenosis”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
The section “Life-threatening plasma lipid concentrations—what to do?” links elevated lipoprotein(a) to very high risk of myocardial infarction and aortic valve stenosis. It gives the threshold as >150 mg/dL, not >120 mg/dL, so the cited paper does not support the claimed cut-point. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingcitation
Most discrepancies with marked biases between assays and the CDC Reference Methods are observed in samples from patients with hypertriglyceridemia >2 mmol/L, mixed dyslipidemia, or other conditions involving altered lipoprotein composition and remodeling, such as diabetes and chronic kidney disease.
“Most discrepancies -with marked biases between assays and the CDC Reference Methods -are observed in samples from patients with hypertriglyceridemia > 2 mmol/L, mixed dyslipidemia, or other conditions involving altered lipoprotein composition and remodeling, such as diabetes and chronic kidney disease [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Contois, 2011, Reliability of low-density lipoprotein cholesterol, non-high density lipoprotein cholesterol, and apolipoprotein B measurement, J. Clin. Lipidol. source
- Findingcitation
The Friedewald equation is increasingly inaccurate at TG concentrations from 2.3 to 4.5 mmol/L.
“The equation is increasingly inaccurate at TG concentrations from 2.3 to 4.5 mmol/L [44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Nauck, 2002, Methods for measurement of LDL-cholesterol: a critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem. source
- Findingcitation
The different manufacturers' direct methods do not measure the same LDL and HDL subfractions.
“The different manufacturers' direct methods do not measure the same LDL and HDL subfractions [40,41].”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingcitation
Results can vary significantly between dLDLC and dHDLC assays from different manufacturers.
“Despite improved analytical precision due to automation, data indicate that results can vary significantly between dLDLC and dHDLC assays from different manufacturers [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Contois, 2011, Reliability of low-density lipoprotein cholesterol, non-high density lipoprotein cholesterol, and apolipoprotein B measurement, J. Clin. Lipidol. source
- Findingown data
Using decision thresholds for flagging will lead to many lipid profiles reported with flags, as with more than 50% of LDLC results.
“Using decision thresholds for flagging will lead to many lipid profiles reported with flags, as with more than 50% of LDLC results (Fig. 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fig. 2
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
Because of the widespread unhealthy lifestyle, in most populations the upper reference limits of TC, LDLC, and TG are very high and far above the thresholds of increased ASCVD risk.
“Because of the widespread unhealthy lifestyle, in most populations the upper reference limits of TC, LDLC, and TG are very high and far above the thresholds of increased ASCVD risk (Tables 23, Fig. 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tables 2-3, Fig. 2
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationcitation
In statin-treated patients the Lp(a)-associated risk for ASCVD becomes an even better predictor for residual risk as soon as the LDL-associated risk is decreased by statin therapy.
“In statin-treated patients the Lp(a)-associated risk for ASCVD becomes an even better predictor for residual risk as soon as the LDL-associated risk is decreased by statin therapy [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Willeit, 2018, Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials, Lancet source
- Premisecitation
The traditional lipid profile of TC, TG, HDLC, and LDLC remains the primary approach for diagnosis and ASCVD risk classification.
“The traditional lipid profile of TC, TG, HDLC, and LDLC remains the primary approach for diagnosis and ASCVD risk classification [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Langlois, 2018, Which lipids should be analyzed for diagnostic workup and follow-up of patients with hyperlipidemias?, Curr. Cardiol. Rep. source
- Interpretationcitation
Simple conversion of Lp(a) from mg/dL to nmol/L or vice versa has its limitations since probably most of the available immunoassays cannot measure Lp(a) in strict molar terms due to the size heterogeneity of apo(a) isoforms and the high probability that antibodies against apo(a) recognize a repetitive KIV-2 epitope of apo(a).
“It has to be recognized that a simple conversion of Lp(a) from mg/dL to nmol/L or vice versa has its limitations since probably most of the available immunoassays cannot measure Lp(a) in strict molar terms due to the size heterogeneity of apo(a) isoforms and the high probability that antibodies against apo (a) recognize a repetitive KIV-2 epitope of apo(a) [53].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Tsimikas, 2018, Relationship of lipoprotein(a) molar concentrations and mass according to lipoprotein(a) thresholds and apolipoprotein(a) isoform size, J. Clin. Lipidol. source
- Interpretationcitation
LDLC assays that attempt to specifically measure cholesterol in LDL may show discordant results compared to the reference method.
“LDLC assays that attempt to specifically measure cholesterol in LDL may, therefore, show discordant results compared to the reference method [41].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Contois, 2011, Reliability of low-density lipoprotein cholesterol, non-high density lipoprotein cholesterol, and apolipoprotein B measurement, J. Clin. Lipidol. source
- Interpretationcitation
The biases noted in dHDLC measurements affect the calculations of LDLC and non-HDLC, since HDLC is used in the calculations.
“The biases noted in dHDLC measurements affect the calculations of LDLC and non-HDLC, since HDLC is used in the calculations [43].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43] Langlois, 2014, Clinical impact of direct HDLc and LDLc method bias in hypertriglyceridemia. A simulation study of the EAS-EFLM Collaborative Project Group, Atherosclerosis source
- Premisecitation
The LDLC fraction on beta-quantification also contains the cholesterol from IDL with density 1.006-1.019 g/mL and Lp(a) with density 1.04-1.13 g/mL.
“However, it is not widely recognized that the LDLC fraction on beta-quantification also contains the cholesterol from IDL with density 1.006-1.019g/mL and Lp(a) with density 1.04-1.13g/mL.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Ramasamy, 2018, Update on the laboratory investigation of dyslipidemias, Clin. Chim. Acta source
- Interpretationcitation
Because the TG:cholesterol ratio in TG-rich lipoproteins progressively increases as hypertriglyceridemia becomes more severe, the Friedewald equation overestimates VLDLC and therefore underestimates LDLC at high TG concentrations.
“Because the TG:cholesterol ratio in TG-rich lipoproteins progressively increases as hypertriglyceridemia becomes more severe, the equation overestimates VLDLC and therefore underestimates LDLC at high TG concentrations [44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Nauck, 2002, Methods for measurement of LDL-cholesterol: a critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem. source
- Premisecitation
Non-HDLC shows better correlation and concordance with cLDLC when using the Martin-Hopkins formula compared to the Friedewald equation in patients with atherogenic dyslipidemia.
“Non-HDLC shows better correlation and concordance with cLDLC when using the Martin-Hopkins formula compared to the Friedewald equation in patients with atherogenic dyslipidemia [59].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [59] Mehta, 2018, Performance of LDL-C calculated with Martin's formula compared to the Friedewald equation in familial combined hyperlipidemia, Atherosclerosis source
- Interpretationreasoning
Non-HDLC cannot substitute for RemnantC because it does not differentiate between RemnantC and LDLC and Lp(a)-cholesterol.
“However, non-HDLC cannot substitute for RemnantC because it does not differentiate between Re-mnantC and LDLC and Lp(a)-cholesterol.”
Quote in the paperSubstantial claim - Premisecitation
The IFCC has initiated development of LC-MSMS as candidate definitive reference method for apoB.
“The IFCC has therefore initiated development of LC-MSMS as candidate definitive reference method for apoB [67].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [67] Delatour, 2018, Comparability of lipoprotein particle number concentrations across ES-DMA, NMR, LC-MS/MS, immunonephelometry, and VAP: in search of a candidate reference measurement procedure for apoB and non-HDL-P standardization, Clin. Chem. source
- Premisecitation
All guidelines concur that LDLC remains the primary target of lipid-lowering strategies to prevent ASCVD.
“All guidelines concur that LDLC remains the primary target of lipid-lowering strategies to prevent ASCVD [4][5][6].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4][5][6]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Given the improvements of standardization initiated by the IFCC, measurements of apolipoproteins have the potential to meet analytical performance criteria including accuracy, harmonisation across laboratories, unambiguous definition of the measurand, and unequivocal test results in both normo- and dyslipidemic sera.
“Given the improvements of standardization initiated by the IFCC [69], measurements of apolipoproteins have the potential to meet analytical performance criteria including accuracy, harmonisation across laboratories, unambiguous definition of the measurand, and unequivocal test results in both normo-and dyslipidemic sera -important prerequisites for medical use of a test which can not be met with L”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] Contois, 2018, Apolipoprotein B measurement: need for standardization, J. Clin. Lipidol. source
- Premisecitation
When compared to Martin-Hopkins cLDLC, non-HDLC translates to only modest improvement for risk classification that could change clinical management in ~2% of individuals in a general population.
“When compared to Martin-Hopkins cLDLC, non-HDLC translates to only modest improvement for risk classification that could change clinical management (in ~2% of individuals in a general population), although discordance of Martin-Hopkins cLDLC and, as a consequence, risk underestimation is still common (80-90%) in patients with TG ≥ 4.5 mmol/L [60].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] Sathiyakumar, 2018, Impact of novel low-density lipoprotein-cholesterol assessment on the utility of secondary non-high-density lipoprotein-cholesterol and apolipoprotein B targets in selected worldwide dyslipidemia guidelines, Circulation source
- Premisecitation
Common calibration with the IFCC/WHO SP3 reference material has reduced between-laboratory variability of apoB measurements from > 19% to < 10%.
“Common calibration with the IFCC/WHO SP3 reference material has reduced between-laboratory variability of apoB measurements from > 19% to < 10%, although concerns about the variability among immunoassays and their comparability with apoB100 derived from NMR and other methods still exist [65][66][67].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65][66][67]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Concerns about the variability among immunoassays and their comparability with apoB100 derived from NMR and other methods still exist.
“Common calibration with the IFCC/WHO SP3 reference material has reduced between-laboratory variability of apoB measurements from > 19% to < 10%, although concerns about the variability among immunoassays and their comparability with apoB100 derived from NMR and other methods still exist [65][66][67].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65][66][67]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The apoB test has not yet been completely validated for monitoring of lipid-lowering therapies according to key criteria defined by the EFLM Test Evaluation Working Group: clinical performance, clinical effectiveness, and cost-effectiveness.
“However, the apoB test has not yet been completely validated for this clinical purpose according to key criteria defined by the EFLM Test Evaluation Working Group [70] clinical performance, clinical effectiveness, and cost-effectivenessbeyond analytical performance to become a medically useful test (Table 7).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [70] Horvath, 2014, From biomarkers to medical tests: the changing landscape of test evaluation, Clin. Chim. Acta source
- Premisecitation
Data and meta-analyses of prospective population-based cohort studies and statin trials suggest that the clinical performance of apoB and non-HDLC, although superior to LDLC in some studies, is on average comparable to dLDLC, Friedewald cLDLC or Martin-Hopkins cLDLC to predict risk of fatal or nonfatal ASCVD on the population level.
“Data and meta-analyses of prospective population-based cohort studies [71][72][73][74] and statin trials [75,76] suggest that the clinical performance of apoB and non-HDLC, although superior to LDLC in some studies, is on average comparable to dLDLC, Friedewald cLDLC or Martin-Hopkins cLDLC to predict risk of fatal or nonfatal ASCVD on the population level.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [71][72][73][74]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [75] Boekholdt, 2012, Association of LDL cholesterol, non-HDL cholesterol, and apolipoprotein B levels with risk of cardiovascular events among patients treated with statins: a meta-analysis, J. Am. Med. Assoc. source
- cites [76] Robinson, 2012, Meta-analysis of comparison of effectiveness of lowering apolipoprotein B versus low-density lipoprotein cholesterol and non high-density lipoprotein cholesterol for cardiovascular risk reduction in randomized trials, Am. J. Cardiol. source
- Interpretationreasoning
LDLC and non-HDLC measurements or calculations cannot meet important prerequisites for medical use of a test (accuracy, harmonisation, unambiguous definition of the measurand, and unequivocal test results).
“important prerequisites for medical use of a test which can not be met with LDLC and non-HDLC measurements or calculations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] Contois, 2018, Apolipoprotein B measurement: need for standardization, J. Clin. Lipidol. source
- Interpretationcitation
These findings suggest a potential role of apoB as therapeutic target.
“These findings suggest a potential role of apoB as therapeutic target.”
Quote in the paperSubstantial claim - Interpretationreasoning
ApoB measurement is superior to LDLC and non-HDLC measurements and calculations for the assessment of exposure to atherogenic lipoprotein particle numbers in the circulation.
“ApoB measurement is superior to LDLC and non-HDLC measure- ments and calculations for the assessment of exposure to atherogenic lipoprotein particle numbers in the circulation.”
Quote in the paperSubstantial claim - Premisecitation
The International Federation of Clinical Chemistry (IFCC) and World Health Organization (WHO) developed the SP3 reference material, value-assigned using immunonephelometry as interim reference method for apoB.
“The International Federation of Clinical Chemistry (IFCC) and World Health Organization (WHO) developed the SP3 reference material, value-assigned using immunonephelometry as interim reference method for apoB [64].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [64] Marcovina, 1994, International federation of clinical Chemistry standardization project for measurements of apolipoproteins A-I and B. IV. Comparability of apolipoprotein B values by use of international reference material, Clin. Chem. source
- Interpretationcitation
The evidence base of apoB-guided treatment cost-effectiveness is still incomplete.
“yet the evidence base of this approach is still incomplete (Table 7).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Table 7
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
LDLC does not provide incremental risk prediction of ASCVD relative to non-HDLC.
“LDLC does not provide incremental risk prediction of ASCVD relative to non-HDLC [81][82][83].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [81][82][83]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Personalized reporting of optimal thresholds is difficult to implement in laboratory reports because usually the clinical conditions and risk factors of the individual patients are not known to the laboratory personnel.
“This personalized reporting of optimal thresholds is difficult to implement in laboratory reports because usually the clinical conditions and risk factors of the individual patients are not known to the laboratory personnel.”
Quote in the paperSubstantial claim - Premisecitation
Significant changes in population lipid concentrations occur mainly related to the substantial increase in unhealthy lifestyle and obesity and changes of analytical methods over time.
“Ideally, these reference intervals should be regularly updated because significant changes in population lipid concentrations occur mainly related to the substantial increase in unhealthy lifestyle and obesity and changes of analytical methods over time [95][96][97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [95][96][97]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Reference intervals in children and adolescents are available from recent population-based cohort studies and databases.
“Reference intervals in children and adolescents are available from recent populationbased cohort studies and databases [92][93][94].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92][93][94]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The addition of apoB to LDLC and even to non-HDLC has the potential to improve risk prediction by identifying more high-risk individuals.
“Data from concordance/discordance analyses in large case-control and prospective cohort studies reveal that the addition of apoB to LDLC and even to non-HDLC has the potential to improve risk prediction by identifying more high-risk individuals [74,[84][85][86].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [74,[84][85][86]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- May combine two claims. 41
- Classified as probably not a substantial claim. 18
- The quote only partly states this claim. 1
May combine two claims.
PremisecitationMeasurement of apolipoprotein B (apoB) or advanced measurement of LDLP can be used to assess the number of LDL particles.
“Measurement of apolipoprotein B (apoB), the major protein component of LDL, or advanced measurement of LDLP (not yet widely available) can also be used to assess the number of LDL particles [10,12].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [10] Mora, 2009, Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use, Circulation source
- cites [12] Contois, 2009, Apolipoprotein B and cardiovascular disease risk: position statement from the AACC lipoproteins and vascular disease working group on best practices, Clin. Chem. source
May combine two claims.
PremisecitationCholesterol-enriched remnant particles may enter the arterial intima and contribute to atherosclerosis, whereas nascent chylomicrons and very large VLDL particles do not cross the endothelial layer.
“These cholesterol-enriched remnant particles may enter the arterial intima and contribute to atherosclerosis, whereas nascent chylomicrons and very large VLDL particles do not cross the endothelial layer [17].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Nordestgaard, 2016, Triglyceride-rich lipoproteins and atherosclerotic cardiovascular disease: new insights from epidemiology, genetics, and biology, Circ. Res. source
The Biology section (page unavailable) says medium-sized triglyceride-rich lipoproteins can enter the arterial intima and become trapped, while large chylomicrons are too large to cross the endothelial barrier. It does not establish the same exclusion for very large VLDL particles, so that part of the claim is unsupported. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRecent studies with PCSK9 inhibitors revealed that patients with higher baseline Lp(a) concentration experienced greater absolute reductions in Lp(a) and tended to derive greater clinical benefit from PCSK9 inhibition.
“Although recent studies with PCSK9 inhibitors were not designed to target patients with high Lp(a) concentrations, they nevertheless revealed that patients with higher baseline Lp(a) concentration experienced greater absolute reductions in Lp(a) and tended to derive greater clinical benefit from PCSK9 inhibition [27,28].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [27] O'Donoghue, 2019, Lipoprotein(a), PCSK9 inhibition and cardiovascular risk: insights from the FOURIER Trial, Circulation source
- cites [28] Ray, 2019, Lipoprotein(a) reductions from PCSK9 inhibition and major adverse cardiovascular events: pooled analysis of alirocumab phase 3 trials, Atherosclerosis source
Section 3.3 reports a stronger association between Lp(a) reduction and fewer major adverse cardiovascular events among patients with baseline Lp(a) ≥50 mg/dL; the Discussion describes greater benefit as a possibility, consistent with the claim’s 'tended to' wording. The Discussion says higher initial Lp(a) levels are likely to offer greater absolute reductions, but the cited text does not establish as an observed subgroup result that these patients experienced greater absolute reductions with PCSK9 inhibition. Page numbers were not available in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationCirculating LDL particles are highly atherogenic and there is a direct, graded relationship between LDLC concentration and the incidence of ASCVD observed in randomized controlled trials, prospective epidemiological cohort studies, and Mendelian randomization studies.
“Circulating LDL particles are highly atherogenic and there is a direct, graded relationship between LDLC concentration and the incidence of ASCVD observed in randomized controlled trials, prospective epidemiological cohort studies, and Mendelian randomization studies [7,8].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [7] Ference, 2017, Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel, Eur. Heart J. source
- cites [8] Baigent, 2010, Cholesterol Treatment Trialists' (CTT) Collaboration. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trials, Lancet source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationWhen Friedewald-calculated LDLC is used, calculated RemnantC simply equals TG/2.2 (in mmol/L) and does not add clinical information beyond TG concentration.
“Direct LDLC measurement should preferably be used in the calculation of RemnantC; otherwise RemnantC simply equals TG/2.2 (in mmol/L) when Friedewald-calculated LDLC is used, i.e.TC -HDLC -(TC -HDLC -TG/2.2),and it does not add clinical information beyond TG concentration [1]”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
May combine two claims.
PremisecitationRemnantC, measured or calculated, differs from non-HDLC in that non-HDLC contains RemnantC plus LDLC and does not differentiate between these two causal risk factors.
“RemnantC, measured or calculated, differs from non-HDLC in that non-HDLC contains RemnantC plus LDLC and does not differentiate between these two causal risk factors [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
May combine two claims.
PremisecitationAll LDL particles are atherogenic, but their concentration is not always reflected by LDLC measurement because the cholesterol content in the particles can vary widely between individuals according to the continuous remodeling of lipoproteins in blood.
“All LDL particles are atherogenic, but their concentration is not always reflected by LDLC measurement because the cholesterol content in the particles can vary widely between individuals according to the continuous remodeling of lipoproteins in blood [10].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [10] Mora, 2009, Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use, Circulation source
In §1.B (page not supplied), the paper says small and large LDL particles are similarly atherogenic and illustrates that two people can have the same LDL cholesterol level but different LDL particle concentrations because smaller particles contain less cholesterol. The passage does not attribute this variation to continuous remodeling of lipoproteins in blood, so that causal explanation is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationNon-HDLC represents the cholesterol in all particles causing cardiovascular disease, that is, LDL, VLDL, IDL, and Lp(a); in the nonfasting state this additionally includes the cholesterol in chylomicrons and their remnant particles.
“Calculated by subtracting HDLC from TC, non-HDLC represents the cholesterol in all particles causing cardiovascular disease, that is, LDL, VLDL, IDL, and Lp(a); in the nonfasting state this additionally includes the cholesterol in chylomicrons and their remnant particles [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
The CALCULATED NON-HDLC section (p. 12) defines non-HDLC as total cholesterol minus HDL cholesterol and lists LDL, VLDL, IDL, chylomicron remnants, and Lp(a) among the particles it covers. The LDL PARTICLES section (p. 5) specifies that chylomicron remnants contribute in the nonfasting state. The REMNANT PARTICLES section (p. 5) distinguishes these atherogenic remnants from nascent chylomicrons, which it says are initially too large to enter the arterial wall; the claim does not preserve that distinction when describing chylomicrons as particles causing cardiovascular disease. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationChanges in a patient's LDLC test result over time are within the range of uncertainty of laboratory method variation and may not be due to therapeutic intervention.
“Not uncommonly, changes in a patient's LDLC test result over time are within the range of uncertainty of laboratory method variation and may not be due to therapeutic intervention [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
May combine two claims.
FindingcitationDirect measurements of dLDLC and dHDLC in normolipidemic samples usually meet the NCEP total error goals of ≤12% and ≤13%, respectively, but total error ranged from -26% to +32% for dLDLC and -20% to +36% for dHDLC in a comprehensive study of different assays in dyslipidemic samples.
“Direct measurements of dLDLC and dHDLC in normolipidemic samples usually meet the National Cholesterol Education Program (NCEP) total error goals of ≤12% and ≤13%, respectively, but total error ranged from -26% to +32% for dLDLC and -20% to +36% for dHDLC in a comprehensive study of different assays in dyslipidemic samples [42].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [42] Miller, 2010, Seven direct methods for measuring HDL and LDL cholesterol compared with ultracentrifugation reference measurement procedures, Clin. Chem. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationNon-HDLC yields more accurate cardiovascular risk classification than either Friedewald cLDLC or dLDLC, and also more consistent risk scores using different manufacturers' assays for dHDLC in the calculation.
“Despite this limitation, non-HDLC yields more accurate cardiovascular risk classification than either Friedewald cLDLC or dLDLC, and also more consistent risk scores using different manufacturers' assays for dHDLC in the calculation [58].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [58] van Deventer, 2011, Non-HDL-cholesterol shows improved accuracy for cardiovascular risk score classification compared to direct or calculated LDL cholesterol in a dyslipidemic population, Clin. Chem. source
May combine two claims.
PremisecitationGuideline-recommended therapeutic goals for non-HDLC are arbitrarily set typically at 0.8 mmol/L (30 mg/dL) higher than LDLC goals; this value is based on the assumption that the optimal VLDLC concentration associated with the fasting TG threshold 1.7 mmol/L is 0.8 mmol/L, as estimated by the Friedewald formula (TG/2.2).
“Guideline-recommended therapeutic goals for non-HDLC are arbitrarily set typically at 0.8 mmol/L (30 mg/dL) higher than LDLC goals (Table 6); this value is based on the assumption that the”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
- cites [2] Nordestgaard, 2016, Eur. Heart J. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- The authors state this as an assumption: The optimal VLDLC concentration associated with the fasting TG threshold 1.7 mmol/L is 0.8 mmol/L.
May combine two claims.
PremisecitationApoB is the structural protein for all non-HDL lipoproteins and exists as 2 isoforms: apoB100, the major isoform in VLDL, IDL, LDL, and Lp(a), and apoB48 in chylomicrons and chylomicron remnants.
“It is the structural protein for all non-HDL lipoproteins and exists as 2 isoforms: apoB100, the major isoform in VLDL, IDL, LDL, and Lp(a), and apoB48 in chylomicrons and chylomicron remnants [12].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Contois, 2009, Apolipoprotein B and cardiovascular disease risk: position statement from the AACC lipoproteins and vascular disease working group on best practices, Clin. Chem. source
The ‘apo B STRUCTURE AND FUNCTION’ section (p. 2) identifies two isoforms and calls apo B-48 the structural protein of chylomicrons. The ‘apo B-CONTAINING LIPOPROTEINS AND CVD RISK’ section (p. 2) lists VLDL, IDL, LDL, and Lp(a) as apo B-containing particles. Our copy does not explicitly assign apo B-100 to each of those particles or mention apo B-48 in chylomicron remnants. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationLowering LDLC to concentrations below a target of 1.8 mmol/L in patients at high cardiovascular risk or 1.4 mmol/L in patients at very high risk (or by ≥ 50% if these targets cannot be attained) is of critical importance.
“Lowering LDLC to concentrations below a target of 1.8 mmol/L in patients at high cardiovascular risk or 1.4 mmol/L in patients at very high risk (or by ≥ 50% if these targets cannot be attained) is of critical importance [4].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
The treatment-goals passage recommends LDL-C below 1.8 mmol/L for high-risk patients and below 1.4 mmol/L for very-high-risk patients. It recommends a ≥50% reduction from baseline alongside each absolute goal, not only as an alternative if the goal cannot be attained. (LLM, conf=0.91)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationEven at peak postprandial concentrations, the number of chylomicron-apoB48 particles in healthy individuals is usually < 1% and the number of VLDL-apoB100 particles is < 10% of the number of LDL-apoB100 particles.
“ApoB can be measured in the nonfasting state because even at peak postprandial concentrations, the number of chylomicron-apoB48 particles in healthy individuals is usually < 1% and the number of VLDL-apoB100 particles is < 10% of the number of LDL-apoB100 particles [12].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Contois, 2009, Apolipoprotein B and cardiovascular disease risk: position statement from the AACC lipoproteins and vascular disease working group on best practices, Clin. Chem. source
The MEASUREMENT ISSUES section (p. 9) says fasting is not required for apo B measurement, and the apo B-CONTAINING LIPOPROTEINS AND CVD RISK section (p. 2) says most plasma apo B is associated with LDL. Neither passage gives the claimed <1% chylomicron-apoB48 or <10% VLDL-apoB100 particle ratios at peak postprandial concentrations in healthy individuals. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationA major impediment to LDLP testing is its limited availability in the clinical laboratories, higher cost, and lack of standardization.
“A major impediment to LDLP testing is its limited availability in the clinical laboratories, higher cost, and lack of standardization [63], although it does provide additional information on other lipoproteins VLDL and HDL, beyond LDLP.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [63] Clouet-Foraison, 2017, Advanced lipoprotein testing for cardiovascular diseases risk assessment: a review of the novel approaches in lipoprotein profiling, Clin. Chem. Lab. Med. source
Classified as probably not a substantial claim.
InterpretationcitationApoB may be preferred over non-HDLC, if available, in persons with mild-to-moderate hypertriglyceridemia (2-10 mmol/L), diabetes, obesity or metabolic syndrome, or very low LDLC < 1.8 mmol/L.
“ApoB is recommended for risk assessment and may be preferred over non-HDLC, if available, in persons with mild-to-moderate hypertriglyceridemia (2-10 mmol/L), diabetes, obesity or metabolic syndrome, or very low LDLC < 1.8 mmol/L [4].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
The “Changes in recommendations” section recommends ApoB for risk assessment in people with high triglycerides, diabetes, obesity or metabolic syndrome, or very low LDL-C, and says it may be preferred over non-HDL-C in several of those groups. It does not give the claimed triglyceride range of 2–10 mmol/L or define very low LDL-C as <1.8 mmol/L; its preference-over-non-HDL-C statement also does not explicitly include metabolic syndrome. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationLC-MSMS enables the simultaneous (multiplexed) measurement of multiple apolipoproteins in addition to apoB100 in a single run of the assay, thus making it possible to achieve a complete apolipoprotein profile in the patient.
“Another advantage of LC-MSMS is that it enables the simultaneous (multiplexed) measurement of multiple apolipoproteins in addition to apoB100 in a single run of the assay, thus making it possible to achieve a complete apolipoprotein profile in the patient, including HDL-and VLDL-associated apolipoproteins for comprehensive characterization of dyslipidemias [68].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [68] van den Broek, 2016, Automated multiplex LC-MS/MS assay for quantifying serum apolipoproteins A-I, B, C-I, C-II, C-III, and E with qualitative apolipoprotein E phenotyping, Clin. Chem. source
The Discussion (page unavailable) says the assay expands the panel to six apolipoprotein quantities in one workflow, supporting multiplexed measurement alongside apoB-100. The paper does not establish that those six measurements constitute a complete patient apolipoprotein profile; it presents their clinical value for dyslipidemia as a potential benefit. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationApoB cannot substitute for NMR or ion mobility-based particle size measurements and does not differentiate between LDL and VLDL particle numbers.
“However, apoB cannot substitute for NMRor ion mobility-based particle size measurements and does not differentiate between LDL and VLDL particle numbers [61,62].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [61] Cole, 2013, Association of apolipoprotein B and nuclear magnetic resonance spectroscopy-derived LDL particle number with outcomes in 25 clinical studies: assessment by the AACC Lipoprotein and Vascular Diseases Division Working Group on Best Practices, Clin. Chem. source
- cites [62] Mora, 2015, Circulation source
May combine two claims.
PremisecitationAddition of PCSK9 inhibition to statin therapy allows more patients to achieve non-HDLC and apoB goals and lower risk of ASCVD, with no attenuation of benefit at lower concentrations.
“Addition of PCSK9 inhibition to statin therapy allows more patients to achieve non-HDLC and apoB goals and lower risk of ASCVD, with no attenuation of benefit at lower concentrations [88].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [88] Ray, 2016, Reductions in atherogenic lipids and major cardiovascular events: a pooled analysis of 10 ODYSSEY trials comparing alirocumab with control, Circulation source
The Results (Lipid Levels During Treatment; page unavailable) report that more alirocumab-treated patients achieved very low non–HDL-C and apoB levels, but do not establish that more patients met specified goals. The Discussion (page unavailable) finds lower non–HDL-C and apoB associated with lower MACE rates without discernible attenuation at lower levels. The Conclusions say outcomes trials were still assessing whether PCSK9 inhibition added to statins reduces MACE, so the claim overstates a demonstrated reduction in ASCVD risk. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAlthough apoB demonstrates competitive clinical performance compared with non-HDLC, there is no evidence yet of significant population health-economic benefit of intensifying pharmacological intervention aiming to further reduce apoB at very low concentrations of LDLC.
“Although apoB demonstrates competitive clinical performance compared with non-HDLC, there is no evidence yet of significant population healtheconomic benefit of intensifying pharmacological intervention aiming to further reduce apoB at very low concentrations of LDLC [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationGuideline-based non-HDLC thresholds have been arbitrarily defined by consensus of expert groups, based on the assumption that a normal VLDLC concentration exists when TG are < 1.7 mmol/L, which is < 0.8 mmol/L as estimated by the Friedewald formula.
“Guideline-based non-HDLC thresholds have been arbitrarily defined by consensus of expert groups, based on the assumption that a normal VLDLC concentration exists when TG are < 1.7 mmol/L, which is < 0.8 mmol/L as estimated by the Friedewald formula [1,2].”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDiabetes and abdominal obesity, disorders that underlie the clinical expression of complex dyslipidemias without elevated LDLC, are attaining epidemic proportions.
“Diabetes and abdominal obesity, disorders that underlie the clinical expression of complex dyslipidemias without elevated LDLC, are attaining epidemic proportions [11].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [11] Miller, 2011, Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association, Circulation source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn patients with mixed hyperlipidemias, routine genetic testing is not warranted.
“In patients with mixed hyperlipidemias, routine genetic testing is not warranted [33].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] Hegele, 2014, European Atherosclerosis Society Consensus Panel. The polygenic nature of hypertriglyceridaemia: implications for definition, diagnosis, and management, Lancet Diabetes Endocrinol. source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationNovel technologies provide complementary diagnostic information regarding the complex molecular basis of dyslipidemias and can be used to explore and evaluate precision medicine approaches for identifying better and individualized treatment options for patients at high risk of ASCVD.
“These novel technologies provide complementary diagnostic information regarding the complex molecular basis of dyslipidemias and, as such, can be used to explore and evaluate precision medicine approaches for identifying better and individualized treatment options for patients at high risk of ASCVD [99].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [99] Ruhaak, 2019, Apolipoprotein profiling as a personalized approach to the diagnosis and treatment of dyslipidaemia, Ann. Clin. Biochem. source
May combine two claims.
InterpretationcitationThis may compensate for the under- or overestimation of LDLC in terms of clinical decision making, given the uncertainty of dLDLC measurements or the Friedewald calculation in dyslipidemic samples when LDLC lowering approaches 1.4 mmol/L, and non-HDLC can be used at high TG ≥ 4.5 mmol/l.
“This may compensate for the under-or overestimation of LDLC in terms of clinical decision making, given the uncertainty of dLDLC measurements or the Friedewald calculation in dyslipidemic samples when LDLC lowering approaches 1.4 mmol/L, and non-HDLC can be used at high TG ≥ 4.5 mmol/l.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationThere are practical advantages of adding non-HDLC to every lipid profile report for follow-up without the need to fast.
“To improve patient comfort and compliance, there are practical advantages of this approach for follow-up without the need to fast [2].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
Classified as probably not a substantial claim.
PremisecitationIn a pediatric setting, reporting age- and gender-specific reference intervals is relevant for early identification of children with hyperlipidemia associated with premature atherosclerosis, especially FH.
“In a pediatric setting, reporting age-and gender-specific reference intervals is relevant for early identification of children with hyperlipidemia associated with premature atherosclerosis, especially FH [32].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [32] Wiegman, 2015, European Atherosclerosis Society Consensus Panel. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment, Eur. Heart J. source
The Screening section recommends using country-, age- and gender-specific LDL-C levels to screen children for FH when DNA testing is unavailable. The Conclusions link early FH identification to preventing atherosclerosis. The paper does not specifically recommend reporting laboratory reference intervals or extend that recommendation to pediatric hyperlipidemia generally. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationFor nonfasting samples, the threshold for abnormal TG concentrations is ≥2 mmol/L according to the Women's Health Study, which found that this threshold was optimal for ASCVD prediction.
“For nonfasting samples, laboratories should flag abnormal TG concentrations as ≥2 mmol/L according to the Women's Health Study, which found that this threshold was optimal for ASCVD prediction [91].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [91] White, 2015, Identifying an optimal cutpoint for the diagnosis of hypertriglyceridemia in the nonfasting state, Clin. Chem. source
The Results and Discussion identify 175 mg/dL (1.98 mmol/L, approximately 2 mmol/L) as the optimal nonfasting triglyceride cutpoint for predicting incident CVD in the Women’s Health Study. The paper proposes a diagnostic cutpoint, but does not specifically direct laboratories to flag results at that level; its measured outcome is a composite of CVD events rather than an outcome expressly defined as ASCVD. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationThis necessarily results in on-treatment LDL and VLDL particle numbers that are higher than would be anticipated from the concurrent LDLC follow-up measurement and may explain part of residual risk among statin-treated patients.
“This necessarily results in on-treatment LDL and VLDL particle numbers that are higher than would be anticipated from the concurrent LDLC follow-up measurement and may explain part of residual risk among statin-treated patients [62,90].”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [62] Mora, 2015, Circulation source
The Results report that rosuvastatin lowered LDL particle numbers less than LDL-c (27.8% versus 48.5%), and the Discussion links on-treatment atherogenic particles, including VLDL subfractions, to residual risk. The paper does not establish that LDL and VLDL particle numbers are necessarily higher than a concurrent LDL-c measurement would predict for every statin-treated patient. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [90] Lawler, 2017, Atherogenic lipoprotein determinants of cardiovascular disease and residual risk among individuals with low low-density lipoprotein cholesterol, J. Am. Heart Assoc. source
The Results sections ‘Lipoprotein Subclass Response to Statin Therapy’ and ‘Residual Risk of CVD’ (page unavailable) report that LDL-c fell more than some LDL particle subclasses, VLDL particle responses were variable, and small VLDL particle levels were associated with residual risk. They do not establish that both LDL and VLDL particle numbers are necessarily higher than a concurrent LDL-c measurement would predict for every statin-treated patient. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationGuidelines propose using non-HDLC or apoB as a secondary treatment target in the management of patients with mild-to-moderate hypertriglyceridemia (2-10 mmol/L), including patients with diabetes.
“Guidelines propose using non-HDLC or apoB as a secondary treatment target in the management of patients with mild-to-moderate hypertriglyceridemia (2-10 mmol/L), including patients with diabetes [4,5].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [4] Mach, 2019, 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. The Task force for the management of dyslipidaemias of the European society of cardiology (ESC) and European atherosclerosis society (EAS), Eur. Heart J. source
Section 9.4.2.2 calls non-HDL-C or ApoB a secondary objective of therapy and discusses atherogenic dyslipidaemia in people with type 2 diabetes. The secondary-goals passage likewise recommends risk-based non-HDL-C and ApoB targets. Neither passage ties those targets specifically to the claimed triglyceride range of 2–10 mmol/L, so that qualifier is not supported by our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [5] Anderson, 2016, Canadian cardiovascular society guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in the adult, Can. J. Cardiol. source
Classified as probably not a substantial claim. May combine two claims.
InterpretationcitationThe combination of non-HDLC with Martin-Hopkins cLDLC may be considered as an appropriate strategy to guide therapy and they can be calculated from the standard lipid profile.
“For the present purposes, the combination of non-HDLC with Martin-Hopkins cLDLC may be considered as an appropriate strategy to guide therapy and they can be calculated from the standard lipid profile [1].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Langlois, 2018, Clin. Chem. source
The LDLC VS NON-HDLC section (p. 18) says combining non-HDLC with calculated LDL-C is an appropriate strategy to guide therapy, and ON-TREATMENT DISCORDANCES (p. 21) says these measures can be calculated from a standard lipid profile. The paper does not specifically recommend Martin-Hopkins calculated LDL-C for that combination; the VLDLC section (p. 9) says the clinical value of alternative LDL-C calculations remains to be determined. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApolipoprotein B concentrations < 0.1 g/L (10 mg/dL) indicate genetic abetalipoproteinemia.
“< 0.1 g/L (10 mg/dL): genetic abetalipoproteinemia”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApolipoprotein A-I concentrations < 0.1 g/L (10 mg/dL) indicate genetic hypoalphalipoproteinemia.
“< 0.1 g/L (10 mg/dL): genetic hypoalphalipoproteinemia”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [2] Nordestgaard, 2016, Eur. Heart J. source
May combine two claims. The quote only partly states this claim.
FindingcitationFor conversion of Lp(a) concentrations in mg/dL to nmol/L, 13930 individuals from the Copenhagen General Population Study had measurements in both mg/dL and nmol/L by Denka Seiken assays; the correlation was done by linear regression with an R2 value of 0.996, and the conversion equation is Lp(a), nmol/L = 2.18*Lp(a), mg/dL-3.83.
“for conversion of Lp(a) concentrations in mg/dL to nmol/L, 13930 individuals from the Copenhagen General Population Study had measurements in both mg/dL and nmol/L by Denka Seiken assays distributed by Roche Diagnostics (Rotkreuz, Switzerland).The correlation was done by linear regression with an R 2 value of 0.996, and the conversion was done by the following equation: Lp(a), nmol/L = 2.18*Lp(a),”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Langsted, 2019, High lipoprotein(a) and high risk of mortality, Eur. Heart J. source
May combine two claims.
PremisecitationLDLs are effectively lowered by statins, whereas Lp(a) is typically resistant to this treatment.
“One of the major differences between Lp(a) and LDL particles is that LDLs are effectively lowered by statins, whereas Lp(a) is typically resistant to this treatment [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Willeit, 2018, Baseline and on-statin treatment lipoprotein(a) levels for prediction of cardiovascular events: individual patient-data meta-analysis of statin outcome trials, Lancet source
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.
PremisecitationDirect homogeneous assays have been developed to specifically measure cholesterol in remnant particles (RemnantC) and some have revealed significant associations of RemnantC with ASCVD.
“Direct”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationLp(a) concentrations do not change in response to normal food intake and are minimally increased in inflammation.
“Lp(a) concentrations do not change in response to normal food intake and are minimally increased in inflammation, although the influence of acute illness or acute phase reactions on Lp(a) concentration is discussed controversially [34].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Langsted, 2014, Lipoprotein(a): fasting and nonfasting levels, inflammation, and cardiovascular risk, Atherosclerosis source
May combine two claims.
PremisecitationThe Friedewald equation uses a fixed TG:cholesterol ratio (TG/2.2 in mmol/L or TG/5 in mg/dL) to estimate VLDLC and assumes lack of chylomicrons which are more TG-rich than VLDL.
“The equation uses a fixed TG:cholesterol ratio (TG/2.2 in mmol/L or TG/5 in mg/dL) to estimate VLDLC and assumes lack of chylomicrons which are more TGrich than VLDL [44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Nauck, 2002, Methods for measurement of LDL-cholesterol: a critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem. source
May combine two claims.
PremisecitationThe cLDLC equations and also most dLDLC assays include the cholesterol content of Lp(a).
“The cLDLC equations and also most dLDLC assays include the cholesterol content of Lp(a) [52].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Yeang, 2015, ‘LDLC’ = LDL-C + Lp(a)-C: implications of achieved ultra-low LDL-C levels in the proprotein convertase subtilisin/kexin type 9 era of potent LDL-C lowering, Curr. Opin. Lipidol. source
May combine two claims.
PremisecitationAn Lp(a) particle is composed of about 30-45% of cholesterol by weight, and a significant overestimation of LDLC concentration occurs in subjects with high and very high Lp(a) concentrations.
“Considering that an Lp(a) particle is composed of about 30-45% of cholesterol by weight, a significant overestimation of LDLC concentration occurs in subjects with high and very high Lp(a) concentrations [52]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Yeang, 2015, ‘LDLC’ = LDL-C + Lp(a)-C: implications of achieved ultra-low LDL-C levels in the proprotein convertase subtilisin/kexin type 9 era of potent LDL-C lowering, Curr. Opin. Lipidol. source
May combine two claims.
InterpretationcitationThe biases noted in dLDLC and dHDLC assays when analyzing dyslipidemic samples suggest that non-specific cross-reaction takes place, reflecting difficulties in selectively measuring the cholesterol in LDL or HDL fractions when atypical lipoproteins are present.
“The biases noted in dLDLC and dHDLC assays when analyzing dyslipidemic samples suggest that non-specific cross-reaction takes place, reflecting difficulties in selectively measuring the cholesterol in LDL or HDL fractions when atypical lipoproteins are present.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationNon-HDLC can be obtained in the nonfasting state and does not require TG to be less than 4.5 mmol/L, which is the limitation for calculation of cLDLC.
“Non-HDLC can be obtained in the nonfasting state and does not require TG to be less than 4.5 mmol/L, which is the limitation for calculation of cLDLC [44].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Nauck, 2002, Methods for measurement of LDL-cholesterol: a critical assessment of direct measurement by homogeneous assays versus calculation, Clin. Chem. source
May combine two claims.
InterpretationcitationSome individuals with high RemnantC have low LDLC and thus will have relatively low non-HDLC if Lp(a) is also low, and if interpreting non-HDLC instead of RemnantC, the high RemnantC will be masked in these individuals.
“Some individuals with high RemnantC have low LDLC and thus will have relatively low non-HDLC if Lp(a) is also low, and if interpreting non-HDLC instead of RemnantC, the high RemnantC will be masked in these individuals [30].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [30] Langlois, 2018, Which lipids should be analyzed for diagnostic workup and follow-up of patients with hyperlipidemias?, Curr. Cardiol. Rep. source
May combine two claims.
PremisecitationDiscordance of Martin-Hopkins cLDLC and, as a consequence, risk underestimation is still common (80-90%) in patients with TG ≥ 4.5 mmol/L.
“When compared to Martin-Hopkins cLDLC, non-HDLC translates to only modest improvement for risk classification that could change clinical management (in ~2% of individuals in a general population), although discordance of Martin-Hopkins cLDLC and, as a consequence, risk underestimation is still common (80-90%) in patients with TG ≥ 4.5 mmol/L [60].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] Sathiyakumar, 2018, Impact of novel low-density lipoprotein-cholesterol assessment on the utility of secondary non-high-density lipoprotein-cholesterol and apolipoprotein B targets in selected worldwide dyslipidemia guidelines, Circulation source
Classified as probably not a substantial claim.
Interpretationnone givenAt this point of time, there is insufficient evidence of benefit from outcome studies to support the option to replace the standard lipid profile by single follow-up measurement of apoB to guide lipid-lowering therapies.
“At this point of time, there is insufficient evidence of benefit from outcome studies to support the option to replace the standard lipid profile (with calculation of cLDLC and non-HDLC) by single followup measurement of apoB to guide lipid-lowering therapies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe suggested use of apoB would be cost-effective if these tests guide therapy to reduce the healthcare costs of ASCVD to a greater extent than standard therapy guided by LDLC.
“The suggested use of apoB would be cost-effective if these tests guide therapy to reduce the healthcare costs of ASCVD to a greater extent than standard therapy guided by LDLC, yet the evidence base of this approach is still incomplete (Table 7).”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenLike non-HDLC, apoB can always be measured in the nonfasting state and is not affected by biological TG variability.
“Like non-HDLC, apoB can always be measured in the nonfasting state and is not affected by biological TG variability.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenLowering non-HDLC thresholds leads to upward reclassification of patients (if the goal is to reduce undertreatment), higher thresholds lead to downward reclassification (if the goal is to reduce overtreatment).
“Lowering non-HDLC thresholds leads to upward reclassification of patients (if the goal is to reduce undertreatment), higher thresholds lead to downward reclassification (if the goal is to reduce overtreatment).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIf ≤ 2 of 20 values (≤10%) fall outside the reference interval then the interval can be adopted.
“If ≤ 2 of 20 values (≤10%) fall outside the reference interval then the interval can be adopted [96,97].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [96] Ceriotti, 2009, Reference intervals: the way forward, Ann. Clin. Biochem. source
- cites [97] Henny, 2016, Working Group Accreditation and ISO/CEN standards (WG-A/ISO) of the EFLM. Recommendation for the review of biological reference intervals in medical laboratories, Clin. Chem. Lab. Med. source
May combine two claims.
PremisecitationCalculation of non-HDLC is at least equally good at predicting ASCVD compared with measurement or calculation of LDLC in the overall population and statin-treated patients; it may also be superior to LDLC if discordantly high, especially at normal or low LDLC concentrations and in individuals with hypertriglyceridemia because it includes RemnantC.
“Data from concordance/discordance analyses suggest that calculation of non-HDLC is at least equally good at predicting ASCVD compared with measurement or calculation of LDLC in the overall population and statin-treated patients; it may also be superior to LDLC if discordantly high, especially at normal or low LDLC concentrations and in individuals with hypertriglyceridemia because it includes Rem”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [81][82][83]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Interpretationnone givenAt TG concentration ≥4.5 mmol/L, use of Friedewald cLDLC or Martin-Hopkins cLDLC is not recommended and dLDLC is likely to be inaccurate.
“At TG concentration ≥4.5 mmol/L, a condition wherein use of Friedewald cLDLC or Martin-Hopkins cLDLC is not recommended and also dLDLC is likely to be inaccurate, use of non-HDLC calculation may be considered instead of dLDLC measurement to evaluate therapeutic response.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThis situation is challenging for new generation assays to meet regulations for in vitro diagnostic medical devices, requiring evidence of clinical performance of the assays.
“This situation is challenging for new generation assays to meet regulations for in vitro diagnostic medical devices, requiring evidence of clinical performance of the assays [70].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Horvath, 2014, From biomarkers to medical tests: the changing landscape of test evaluation, Clin. Chim. Acta source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor decision thresholds it is unnecessary to validate them in the laboratory.
“For decision thresholds it is unnecessary to validate them in the laboratory [97].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Henny, 2016, Working Group Accreditation and ISO/CEN standards (WG-A/ISO) of the EFLM. Recommendation for the review of biological reference intervals in medical laboratories, Clin. Chem. Lab. Med. source
The paper relies on this without support.
ApoB assays currently provide the most accurate measurement of overall burden of atherogenic particles in the fasting and nonfasting state.
“ApoB assays currently provide the most accurate measurement of overall burden of atherogenic particles in the fasting and nonfasting state.”
The authors state this as an assumption.
The optimal VLDLC concentration associated with the fasting TG threshold 1.7 mmol/L is 0.8 mmol/L.
“this value is based on the assumption that the”
The paper relies on this without support.
dHDLC measurement errors in hypertriglyceridemic samples affect the calculation of non-HDLC.
“However, dHDLC measurement errors in hypertriglyceridemic samples still affect the calculation of non-HDLC and most assays limit the measurement of dHDLC to TG < 10 mmol/L.”
The paper relies on this without support.
Most dHDLC assays limit the measurement of dHDLC to TG < 10 mmol/L.
“However, dHDLC measurement errors in hypertriglyceridemic samples still affect the calculation of non-HDLC and most assays limit the measurement of dHDLC to TG < 10 mmol/L.”
The paper relies on this without support.
ApoB is a clearly defined measurand in contrast to the heterogeneous LDLC fraction.
“In contrast to the heterogeneous LDLC fraction, apoB is a clearly defined measurand.”
The paper relies on this without support.
ApoB quantification by automated immunoassays such as immunonephelometry and immunoturbidimetry can be easily implemented in clinical laboratories.
“ApoB quantification by automated immunoassays such as immunonephelometry and immunoturbidimetry can be easily implemented in the clinical laboratories.”
The paper relies on this without support.
Most nephelometric and turbidimetric apoB measurements are limited to TG < 10 mmol/L due to interference of light scattering or absorption caused by chylomicrons and large VLDLs.
“Far higher than the maximum allowed TG concentration of 4.5 mmol/L for cLDLC, most nephelometric and turbidimetric apoB measurements are limited to TG < 10 mmol/L due to interference of light scattering or absorption caused by chylomicrons and large VLDLs;”
The paper relies on this without support.
Implementation of apoB assays in follow-up of lipid-lowering therapies would impose healthcare systems and patients with yearly extra cost.
“Implementation of apoB assays in follow-up of lipid-lowering therapies would impose healthcare systems and patients with yearly extra cost, although one might consider replacing the standard lipid profile (needed for calculation of LDLC and non-HDLC) by single follow-up measurement of apoB in order to attenuate the rise of expenses.”
The paper relies on this without support.
Guideline-recommended LDLC thresholds are based on observations with Friedewald cLDLC using older HDLC precipitation methods which differ from dHDLC assays used nowadays.
“Guideline-recommended LDLC thresholds are based on observations with Friedewald cLDLC using the older HDLC precipitation methods which differ from dHDLC assays used nowadays.”
The paper relies on this without support.
Increased baseline glycerol concentrations can be found in patients with diabetes and chronic kidney disease and during intravenous lipid infusion, and TG may be wrongly flagged in these patients unless a glycerol-corrected TG assay is used.
“Increased baseline glycerol concentrations can be found in patients with diabetes and chronic kidney disease and during intravenous lipid infusion, and TG may be wrongly flagged in these patients unless glycerol-corrected TG assay is used.”
The paper relies on this without support.
There is no consensus on which threshold value in mmol/L to be used for Lp(a).
“There is no consensus on which threshold value in mmol/L to be used for Lp(a); however, for conversion of Lp(a) concentrations in mg/dL to nmol/L, 13930 individuals from the Copenhagen General Population Study had measurements in both mg/dL and nmol/L by Denka Seiken assays distributed by Roche Diagnostics (Rotkreuz, Switzerland).”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
HDL cholesterol conversion is wrong for men aged 20-39
MinorThe median HDL cholesterol value of 1.2 mmol/L corresponds to about 46 mg/dL, not 85 mg/dL. The reported 85 mg/dL also exceeds the 75th-percentile value of 56 mg/dL in the same row.
Reported 85 · recomputed 46.32
“| 20-39 | 0.67 | 26 | 1.0 | 39 | 1.2 | 85 | 1.5 | 56 | 2.0 | 76 |”
Cites
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz455 · Cited by 8,961 · see citing works
Self-citationCholesterol Treatment Trialists' (CTT) Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)61350-5 · Cited by 6,550 · see citing works
Grundy, S. M., Stone, N. J., Bailey, A. L., Beam, C., Birtcher, K. K., Blumenthal, R. S., Braun, L. T., de Ferranti, S., Faiella-Tommasino, J., Forman, D. E., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000625 · Cited by 6,185 · see citing works
Ference, B. A., Ginsberg, H. N., Graham, I., Ray, K. K., Packard, C. J., Bruckert, E., Hegele, R. A., Krauss, R. M., Raal, F. J., Schunkert, H., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx144 · Cited by 3,962 · see citing works
Self-citationNordestgaard, B. G., Chapman, M. J., Humphries, S. E., Ginsberg, H. N., Masana, L., Descamps, O. S., Wiklund, O., Hegele, R. A., Raal, F. J., Defesche, J. C., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht273 · Cited by 2,761 · see citing works
Self-citationMajor lipids, apolipoproteins, and risk of vascular disease
The Emerging Risk Factors Collaboration* (2009) · JAMA · doi:10.1001/jama.2009.1619 · Cited by 2,731 · see citing works
Grundy, S. M., Stone, N. J., Bailey, A. L., Beam, C., Birtcher, K. K., Blumenthal, R. S., Braun, L. T., de Ferranti, S., Faiella-Tommasino, J., Forman, D. E., et al. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.11.003 · Cited by 2,691 · see citing works
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871 · see citing works
Lipoprotein(a) as a cardiovascular risk factor: current status
Nordestgaard, B. G., Chapman, M. J., Ray, K., Borén, J., Andreotti, F., Watts, G. F., Ginsberg, H., Amarenco, P., Catapano, A., Descamps, O. S., et al. (2010) · European Heart Journal · doi:10.1093/eurheartj/ehq386 · Cited by 1,807 · see citing works
Self-citation2016 ESC/EAS Guidelines for the Management of Dyslipidaemias
Catapano, A. L., Graham, I., De Backer, G., Wiklund, O., Chapman, M. J., Drexel, H., Hoes, A. W., Jennings, C. S., Landmesser, U., Pedersen, T. R., et al. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.08.018 · Cited by 1,582 · see citing works
Self-citationSilverman, M. G., Ference, B. A., Im, K., Wiviott, S. D., Giugliano, R. P., Grundy, S. M., Braunwald, E., & Sabatine, M. S. (2016) · JAMA · doi:10.1001/jama.2016.13985 · Cited by 1,483 · see citing works
Triglycerides and cardiovascular disease
Nordestgaard, B. G., & Varbo, A. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61177-6 · Cited by 1,419 · see citing works
Self-citationChapman, M. J., Ginsberg, H. N., Amarenco, P., Andreotti, F., Borén, J., Catapano, A. L., Descamps, O. S., Fisher, E., Kovanen, P. T., Kuivenhoven, J. A., et al. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr112 · Cited by 1,227 · see citing works
Self-citationAnderson, T. J., Grégoire, J., Pearson, G. J., Barry, A. R., Couture, P., Dawes, M., Francis, G. A., Genest, J., Grover, S., Gupta, M., et al. (2016) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2016.07.510 · Cited by 1,173 · see citing works
A Test in Context: Lipoprotein(a)
Tsimikas, S. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.11.042 · Cited by 1,137 · see citing works
Nordestgaard, B. G. (2016) · Circulation Research · doi:10.1161/circresaha.115.306249 · Cited by 1,116 · see citing works
Self-citationJellinger, P. S., Handelsman, Y., Rosenblit, P. D., Bloomgarden, Z. T., Fonseca, V. A., Garber, A. J., Grunberger, G., Guerin, C. K., Bell, D. S. H., Mechanick, J. I., et al. (2017) · Endocrine Practice · doi:10.4158/ep171764.appgl · Cited by 1,094 · see citing works
Lipoprotein(a), PCSK9 Inhibition, and Cardiovascular Risk: Insights From the FOURIER Trial
O’Donoghue, M. L., Fazio, S., Giugliano, R. P., Stroes, E. S. G., Kanevsky, E., Gouni-Berthold, I., Im, K., Lira Pineda, A., Wasserman, S. M., Češka, R., et al. (2019) · Circulation · doi:10.1161/circulationaha.118.037184 · Cited by 984 · see citing works
Wiegman, A., Gidding, S. S., Watts, G. F., Chapman, M. J., Ginsberg, H. N., Cuchel, M., Ose, L., Averna, M., Boileau, C., Borén, J., et al. (2015) · European Heart Journal · doi:10.1093/eurheartj/ehv157 · Cited by 891 · see citing works
Self-citationMartin, S. S., Blaha, M. J., Elshazly, M. B., Toth, P. P., Kwiterovich, P. O., Blumenthal, R. S., & Jones, S. R. (2013) · JAMA · doi:10.1001/jama.2013.280532 · Cited by 883 · see citing works
Nordestgaard, B. G., Langsted, A., Mora, S., Kolovou, G., Baum, H., Bruckert, E., Watts, G. F., Sypniewska, G., Wiklund, O., Borén, J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw152 · Cited by 847 · see citing works
Self-citationBoekholdt, S. M., Arsenault, B. J., Mora, S., Pedersen, T. R., LaRosa, J. C., Nestel, P. J., Simes, R. J., Durrington, P., Hitman, G. A., Welch, K. M. A., et al. (2012) · JAMA · doi:10.1001/jama.2012.366 · Cited by 795 · see citing works
Self-citationViney, N. J., van Capelleveen, J. C., Geary, R. S., Xia, S., Tami, J. A., Yu, R. Z., Marcovina, S. M., Hughes, S. G., Graham, M. J., Crooke, R. M., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31009-1 · Cited by 754 · cited 1× · see citing works
“Drugs on the horizon that specifically target Lp(a) with an Lp(a)-lowering potential of 80% and more will have to prove the benefit of an isolated lowering of Lp(a) on ASCVD outcomes [29].”
BackgroundFerence, B. A., Kastelein, J. J. P., Ray, K. K., Ginsberg, H. N., Chapman, M. J., Packard, C. J., Laufs, U., Oliver-Williams, C., Wood, A. M., Butterworth, A. S., et al. (2019) · JAMA · doi:10.1001/jama.2018.20045 · Cited by 724 · cited 1× · see citing works
“Furthermore, Mendelian randomization studies demonstrated that the reduction in cardiovascular risk associated with genetic variation in clearance and processing of apoB-containing lipoproteins, including LDL particles as well as TG-rich VLDL particles and their remnants, was correlated with the change of concentratio…”
BackgroundSelf-citationSniderman, A. D., Williams, K., Contois, J. H., Monroe, H. M., McQueen, M. J., de Graaf, J., & Furberg, C. D. (2011) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.110.959247 · Cited by 659 · see citing works
Hegele, R. A., Ginsberg, H. N., Chapman, M. J., Nordestgaard, B. G., Kuivenhoven, J. A., Averna, M., Borén, J., Bruckert, E., Catapano, A. L., Descamps, O. S., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70191-8 · Cited by 635 · see citing works
Self-citationNordestgaard, B. G., & Langsted, A. (2016) · Journal of Lipid Research · doi:10.1194/jlr.r071233 · Cited by 575 · see citing works
Self-citationWilleit, P., Ridker, P. M., Nestel, P. J., Simes, J., Tonkin, A. M., Pedersen, T. R., Schwartz, G. G., Olsson, A. G., Colhoun, H. M., Kronenberg, F., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31652-0 · Cited by 564 · see citing works
Self-citationLipid-Related Markers and Cardiovascular Disease Prediction
The Emerging Risk Factors Collaboration (2012) · JAMA · doi:10.1001/jama.2012.6571 · Cited by 539 · see citing works
Lipoprotein(a): resurrected by genetics
Kronenberg, F., & Utermann, G. (2013) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02592.x · Cited by 521 · see citing works
Self-citationPischon, T., Girman, C. J., Sacks, F. M., Rifai, N., Stampfer, M. J., & Rimm, E. B. (2005) · Circulation · doi:10.1161/circulationaha.104.532499 · Cited by 514 · see citing works
Self-citationTsimikas, S., Fazio, S., Ferdinand, K. C., Ginsberg, H. N., Koschinsky, M. L., Marcovina, S. M., Moriarty, P. M., Rader, D. J., Remaley, A. T., Reyes‐Soffer, G., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.11.014 · Cited by 499 · see citing works
Self-citationColantonio, D. A., Kyriakopoulou, L., Chan, M. K., Daly, C. H., Brinc, D., Venner, A. A., Pasic, M. D., Armbruster, D., & Adeli, K. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2011.177741 · Cited by 479 · see citing works
Mora, S., Rifai, N., Buring, J. E., & Ridker, P. M. (2008) · Circulation · doi:10.1161/circulationaha.108.777334 · Cited by 445 · see citing works
Self-citationNauck, M., Warnick, G. R., & Rifai, N. (2002) · Clinical Chemistry · doi:10.1093/clinchem/48.2.236 · Cited by 442 · see citing works
Self-citationMartin, S. S., Blaha, M. J., Elshazly, M. B., Brinton, E. A., Toth, P. P., McEvoy, J. W., Joshi, P. H., Kulkarni, K. R., Mize, P. D., Kwiterovich, P. O., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.01.079 · Cited by 428 · see citing works
Miller, W. G., Myers, G. L., Sakurabayashi, I., Bachmann, L. M., Caudill, S. P., Dziekonski, A., Edwards, S., Kimberly, M. M., Korzun, W. J., Leary, E. T., et al. (2010) · Clinical Chemistry · doi:10.1373/clinchem.2009.142810 · Cited by 386 · see citing works
Self-citationRobinson, J. G., Wang, S., Smith, B. J., & Jacobson, T. A. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.10.024 · Cited by 368 · see citing works
Marcovina, S. M., Albers, J. J., Henderson, L. O., & Hannon, W. H. (1993) · Clinical Chemistry · doi:10.1093/clinchem/39.5.773 · Cited by 342 · see citing works
Beyond Low-Density Lipoprotein Cholesterol
Arsenault, B. J., Rana, J. S., Stroes, E. S. G., Després, J.-P., Shah, P. K., Kastelein, J. J. P., Wareham, N. J., Boekholdt, S. M., & Khaw, K.-T. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.07.057 · Cited by 342 · see citing works
Contois, J. H., McConnell, J. P., Sethi, A. A., Csako, G., Devaraj, S., Hoefner, D. M., & Warnick, G. R. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.118356 · Cited by 326 · see citing works
Ference, B. A., Kastelein, J. J. P., Ginsberg, H. N., Chapman, M. J., Nicholls, S. J., Ray, K. K., Packard, C. J., Laufs, U., Brook, R. D., Oliver-Williams, C., et al. (2017) · JAMA · doi:10.1001/jama.2017.11467 · Cited by 304 · see citing works
Self-citationHigh lipoprotein(a) and high risk of mortality
Langsted, A., Kamstrup, P. R., & Nordestgaard, B. G. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehy902 · Cited by 288 · see citing works
Self-citationLanglois, M. R., Chapman, M. J., Cobbaert, C., Mora, S., Remaley, A. T., Ros, E., Watts, G. F., Borén, J., Baum, H., Bruckert, E., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.287037 · Cited by 260 · see citing works
Self-citationMora, S., Buring, J. E., & Ridker, P. M. (2014) · Circulation · doi:10.1161/circulationaha.113.005873 · Cited by 255 · see citing works
Self-citationMarcovina, S. M., Albers, J. J., Kennedy, H., Mei, J. V., Henderson, L. O., & Hannon, W. H. (1994) · Clinical Chemistry · doi:10.1093/clinchem/40.4.586 · Cited by 243 · see citing works
Joint EFLM-COLABIOCLI Recommendation for venous blood sampling
Simundic, A.-M., Bölenius, K., Cadamuro, J., Church, S., Cornes, M. P., van Dongen-Lases, E. C., Eker, P., Erdeljanovic, T., Grankvist, K., Guimaraes, J. T., et al. (2018) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2018-0602 · Cited by 240 · see citing works
Wilson, P. W. F., Polonsky, T. S., Miedema, M. D., Khera, A., Kosinski, A. S., & Kuvin, J. T. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.11.004 · Cited by 235 · see citing works
A Test in Context: Lipid Profile, Fasting Versus Nonfasting
Nordestgaard, B. G. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.08.006 · Cited by 223 · see citing works
Self-citationFrom biomarkers to medical tests: the changing landscape of test evaluation
Horvath, A. R., Lord, S. J., StJohn, A., Sandberg, S., Cobbaert, C. M., Lorenz, S., Monaghan, P. J., Verhagen-Kamerbeek, W. D. J., Ebert, C., & Bossuyt, P. M. M. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2013.09.018 · Cited by 203 · see citing works
Self-citationNordestgaard, B. G., Langsted, A., Mora, S., Kolovou, G. D., Baum, H. H. E., Bruckert, É., Watts, G. F., Sypniewska, G., Wiklund, O., Borén, J., et al. (2016) · Clinical Chemistry · doi:10.1373/clinchem.2016.258897 · Cited by 200 · see citing works
Self-citationReference intervals: the way forward
Ceriotti, F., Hinzmann, R., & Panteghini, M. (2009) · Annals of Clinical Biochemistry: International Journal of Laboratory Medicine · doi:10.1258/acb.2008.008170 · Cited by 199 · see citing works
Nonfasting versus fasting lipid profile for cardiovascular risk prediction
Langsted, A., & Nordestgaard, B. G. (2019) · Pathology · doi:10.1016/j.pathol.2018.09.062 · Cited by 191 · see citing works
Self-citationWelsh, C., Celis-Morales, C. A., Brown, R., Mackay, D. F., Lewsey, J., Mark, P. B., Gray, S. R., Ferguson, L. D., Anderson, J. J., Lyall, D. M., et al. (2019) · Circulation · doi:10.1161/circulationaha.119.041149 · Cited by 191 · see citing works
Mora, S., Rifai, N., Buring, J. E., & Ridker, P. M. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2008.117929 · Cited by 176 · see citing works
Self-citationLow nonfasting triglycerides and reduced all-cause mortality: a mendelian randomization study
Thomsen, M., Varbo, A., Tybjærg-Hansen, A., & Nordestgaard, B. G. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.219881 · Cited by 171 · see citing works
Self-citationStandardization of collection requirements for fasting samples
Simundic, A. M., Cornes, M., Grankvist, K., Lippi, G., & Nybo, M. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2013.11.008 · Cited by 156 · see citing works
Yeang (2015) · doi:10.1097/mol.0000000000000171 · Cited by 152 · see citing works
Martin, S. S., Giugliano, R. P., Murphy, S. A., Wasserman, S. M., Stein, E. A., Ceška, R., López-Miranda, J., Georgiev, B., Lorenzatti, A. J., Tikkanen, M. J., et al. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2018.1533 · Cited by 150 · see citing works
Thanassoulis, G., Williams, K., Ye, K., Brook, R., Couture, P., Lawler, P. R., de Graaf, J., Furberg, C. D., & Sniderman, A. (2014) · Journal of the American Heart Association · doi:10.1161/jaha.113.000759 · Cited by 148 · see citing works
Lawler, P. R., Akinkuolie, A. O., Chu, A. Y., Shah, S. H., Kraus, W. E., Craig, D., Padmanabhan, L., Glynn, R. J., Ridker, P. M., Chasman, D. I., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005549 · Cited by 145 · see citing works
Self-citationRobinson (2012) · doi:10.1016/j.amjcard.2012.07.007 · Cited by 137 · see citing works
Beyond Low-Density Lipoprotein Cholesterol
Mudd, J. O., Borlaug, B. A., Johnston, P. V., Kral, B. G., Rouf, R., Blumenthal, R. S., & Kwiterovich, P. O. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.07.045 · Cited by 136 · see citing works
Varbo, A., & Nordestgaard, B. G. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000429 · Cited by 135 · see citing works
Self-citationVarbo, A., Freiberg, J. J., & Nordestgaard, B. G. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.279463 · Cited by 133 · see citing works
Self-citationRay, K. K., Ginsberg, H. N., Davidson, M. H., Pordy, R., Bessac, L., Minini, P., Eckel, R. H., & Cannon, C. P. (2016) · Circulation · doi:10.1161/circulationaha.116.024604 · Cited by 127 · see citing works
Mora, S., Caulfield, M. P., Wohlgemuth, J., Chen, Z., Superko, H. R., Rowland, C. M., Glynn, R. J., Ridker, P. M., & Krauss, R. M. (2015) · Circulation · doi:10.1161/circulationaha.115.016857 · Cited by 126 · see citing works
Self-citationContois, J. H., Warnick, G. R., & Sniderman, A. D. (2011) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2011.05.004 · Cited by 123 · see citing works
Cole, T. G., Contois, J. H., Csako, G., McConnell, J. P., Remaley, A. T., Devaraj, S., Hoefner, D. M., Mallory, T., Sethi, A. A., & Warnick, G. R. (2013) · Clinical Chemistry · doi:10.1373/clinchem.2012.196733 · Cited by 122 · see citing works
Self-citationFasting versus nonfasting and low-density lipoprotein cholesterol accuracy
Sathiyakumar, V., Park, J., Golozar, A., Lazo, M., Quispe, R., Guallar, E., Blumenthal, R. S., Jones, S. R., & Martin, S. S. (2018) · Circulation · doi:10.1161/circulationaha.117.030677 · Cited by 122 · see citing works
Recommendation for the review of biological reference intervals in medical laboratories
Henny, J., Vassault, A., Boursier, G., Vukasovic, I., Mesko Brguljan, P., Lohmander, M., Ghita, I., Andreu, F. A. B., Kroupis, C., Sprongl, L., et al. (2016) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2016-0793 · Cited by 119 · see citing works
van Deventer, H. E., Miller, W. G., Myers, G. L., Sakurabayashi, I., Bachmann, L. M., Caudill, S. P., Dziekonski, A., Edwards, S., Kimberly, M. M., Korzun, W. J., et al. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.154773 · Cited by 112 · see citing works
Self-citationTsimikas, S., Fazio, S., Viney, N. J., Xia, S., Witztum, J. L., & Marcovina, S. M. (2018) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2018.07.003 · Cited by 109 · see citing works
Chapman, M. J., Ginsberg, H. N., Amarenco, P., Andreotti, F., Borén, J., Catapano, A. L., Descamps, O. S., Fisher, E. A. A., Kovanen, P. T., Kuivenhoven, J. A., et al. (2011) · Atherosclerosis Supplements · doi:10.1016/s1567-5688(11)70033-2 · Cited by 105 · see citing works
Self-citationvan den Broek, I., Romijn, F. P. H. T. M., Nouta, J., van der Laarse, A., Drijfhout, J. W., Smit, N. P. M., van der Burgt, Y. E. M., & Cobbaert, C. M. (2016) · Clinical Chemistry · doi:10.1373/clinchem.2015.246702 · Cited by 105 · see citing works
Self-citationAarsand, A. K., Díaz-Garzón, J., Fernandez-Calle, P., Guerra, E., Locatelli, M., Bartlett, W. A., Sandberg, S., Røraas, T., Ceriotti, F., Sølvik, U. Ø., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.288415 · Cited by 105 · see citing works
Lawler, P. R., Akinkuolie, A. O., Ridker, P. M., Sniderman, A. D., Buring, J. E., Glynn, R. J., Chasman, D. I., & Mora, S. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2016.264515 · Cited by 104 · see citing works
Self-citationLipoprotein(a): fasting and nonfasting levels, inflammation, and cardiovascular risk
Langsted, A., Kamstrup, P. R., & Nordestgaard, B. G. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.01.049 · Cited by 103 · see citing works
Self-citationAdvanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use
Mora, S. (2009) · Circulation · doi:10.1161/circulationaha.108.819359 · Cited by 89 · see citing works
Self-citationDathan-Stumpf, A., Vogel, M., Hiemisch, A., Thiery, J., Burkhardt, R., Kratzsch, J., & Kiess, W. (2016) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2016.02.010 · Cited by 75 · see citing works
Identifying an optimal cutpoint for the diagnosis of hypertriglyceridemia in the nonfasting state
White, K. T., Moorthy, M. V., Akinkuolie, A. O., Demler, O., Ridker, P. M., Cook, N. R., & Mora, S. (2015) · Clinical Chemistry · doi:10.1373/clinchem.2015.241752 · Cited by 74 · see citing works
Self-citationLanglois, M. R., Descamps, O. S., van der Laarse, A., Weykamp, C., Baum, H., Pulkki, K., von Eckardstein, A., De Bacquer, D., Borén, J., Wiklund, O., et al. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2013.12.016 · Cited by 72 · see citing works
Self-citationPediatric lipid reference values in the general population: the Dutch Lifelines cohort study
Balder, J. W., Lansberg, P. J., Hof, M. H., Wiegman, A., Hutten, B. A., & Kuivenhoven, J. A. (2018) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2018.05.011 · Cited by 72 · see citing works
Mora, S., Chang, C. L., Moorthy, M. V., & Sever, P. S. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.0392 · Cited by 70 · see citing works
Self-citationRay, K. K., Vallejo-Vaz, A. J., Ginsberg, H. N., Davidson, M. H., Louie, M. J., Bujas-Bobanovic, M., Minini, P., Eckel, R. H., & Cannon, C. P. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.06.896 · Cited by 69 · see citing works
Elshazly, M. B., Martin, S. S., Blaha, M. J., Joshi, P. H., Toth, P. P., McEvoy, J. W., Al-Hijji, M. A., Kulkarni, K. R., Kwiterovich, P. O., Blumenthal, R. S., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.07.045 · Cited by 68 · see citing works
Khan, S. U., Khan, M. U., Valavoor, S., Khan, M. S., Okunrintemi, V., Mamas, M. A., Leucker, T. M., Blaha, M. J., & Michos, E. D. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487319871733 · Cited by 67 · see citing works
Lipoprotein(a), PCSK9 Inhibition and cardiovascular risk: Insights from the Fourier trial
O’Donoghue, M. L., Giugliano, R. P., KEECH, A. C., Kanevsky, E., Im, K., Pineda, A. L., Somaratne, R. M., Sever, P. S., Pederson, T. S., & Sabatine, M. S. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.06.912 · Cited by 61 · see citing works
Sathiyakumar, V., Park, J., Quispe, R., Elshazly, M. B., Michos, E. D., Banach, M., Toth, P. P., Whelton, S. P., Blumenthal, R. S., Jones, S. R., et al. (2018) · Circulation · doi:10.1161/circulationaha.117.032463 · Cited by 58 · see citing works
Ichihara, K., Ozarda, Y., Barth, J. H., Klee, G., Shimizu, Y., Xia, L., Hoffmann, M., Shah, S., Matsha, T., Wassung, J., et al. (2017) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.09.015 · Cited by 56 · see citing works
Mehta, R., Reyes-Rodríguez, E., Yaxmehen Bello-Chavolla, O., Guerrero-Díaz, A. C., Vargas-Vázquez, A., Cruz-Bautista, I., & A. Aguilar-Salinas, C. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.06.868 · Cited by 52 · see citing works
Update on the laboratory investigation of dyslipidemias
Ramasamy, I. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.01.015 · Cited by 50 · see citing works
Palmer, M. K., Barter, P. J., Lundman, P., Nicholls, S. J., Toth, P. P., & Karlson, B. W. (2019) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2018.10.011 · Cited by 49 · see citing works
Boot, C. S., Middling, E., Allen, A. J., & Neely, R. D. G. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.292425 · Cited by 44 · see citing works
Wong, N. D., Chuang, J., Zhao, Y., & Rosenblit, P. D. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.05.003 · Cited by 39 · see citing works
Delatour, V., Clouet-Foraison, N., Gaie-Levrel, F., Marcovina, S. M., Hoofnagle, A. N., Kuklenyik, Z., Caulfield, M. P., Otvos, J. D., Krauss, R. M., Kulkarni, K. R., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.288746 · Cited by 39 · see citing works
Self-citationApolipoprotein profiling as a personalized approach to the diagnosis and treatment of dyslipidaemia
Renee Ruhaak, L., van der Laarse, A., & Cobbaert, C. M. (2019) · Annals of Clinical Biochemistry: International Journal of Laboratory Medicine · doi:10.1177/0004563219827620 · Cited by 38 · see citing works
Self-citationDíaz-Garzón, J., Fernández–Calle, P., Minchinela, J., Aarsand, A. K., Bartlett, W. A., Aslan, B., Boned, B., Braga, F., Carobene, A., Coskun, A., et al. (2019) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.05.013 · Cited by 37 · see citing works
Efficacy and safety of the PCSK9 inhibitor evolocumab in patients with mixed hyperlipidemia
Rosenson, R. S., Jacobson, T. A., Preiss, D., Djedjos, C. S., Dent, R., Bridges, I., & Miller, M. (2016) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-016-6666-1 · Cited by 36 · see citing works
Joint EFLM-COLABIOCLI recommendation for venous blood sampling
Šimundić, A.-M., Bölenius, K., Cadamuro, J., Church, S., Cornes, M. P., van Dongen-Lases, E. C., Eker, P., Erdeljanovic, T., Grankvist, K., Guimarães, J. T., et al. (2019) · Annales de biologie clinique · doi:10.1684/abc.2019.1419 · Cited by 34 · see citing works
Grundy, S. M., Vega, G. L., Tomassini, J. E., & Tershakovec, A. M. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2011.03.003 · Cited by 33 · see citing works
Cao, J., Steffen, B. T., Guan, W., Remaley, A. T., McConnell, J. P., Palamalai, V., & Tsai, M. Y. (2018) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2017.12.013 · Cited by 31 · see citing works
Self-citationClouet-Foraison, N., Gaie-Levrel, F., Gillery, P., & Delatour, V. (2017) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2017-0091 · Cited by 30 · see citing works
Masana, L., Ibarretxe, D., Heras, M., Cabré, A., Ferré, R., Merino, J., Plana, N., & Girona, J. (2013) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2012.12.001 · Cited by 19 · see citing works
Langlois, M. R., & Nordestgaard, B. G. (2018) · Current Cardiology Reports · doi:10.1007/s11886-018-1036-1 · Cited by 19 · see citing works
Self-citationLanglois, M. R. (2012) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2011-0636 · Cited by 15 · see citing works
Self-citationApolipoprotein B measurement: need for standardization
Contois, J. H., & Delatour, V. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.02.017 · Cited by 15 · see citing works
New joint consensus initiative on quantifying atherogenic lipoproteins
Stock, J. K. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.08.037 · Cited by 4 · see citing works
Palmer, M. K., Barter, P. J., Lundman, P., et al. (2020) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2019.12.006
EFFICACY AND SAFETY OF THE PCSK9 INHIBITOR EVOLOCUMAB IN PATIENTS WITH MIXED HYPERLIPIDEMIA
Rosenson, R. S., Jacobson, T. A., Priess, D., Djedjos, C., Dent, R., Bridges, I., Pellacani, A., & Miller, M. (2015) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2015.07.727
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Pearson, G. J., Thanassoulis, G., Anderson, T. J., Barry, A. R., Couture, P., Dayan, N., Francis, G. A., Genest, J. J., Grégoire, J. C., Grover, S. A., et al. (2021) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2021.03.016 · Cited by 870 · see citing works
Reyes-Soffer, G., Ginsberg, H. N., Berglund, L., Duell, P. B., Heffron, S. P., Kamstrup, P. R., Lloyd-Jones, D. M., Marcovina, S. M., Yeang, C., Koschinsky, M. L., et al. (2022) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atv.0000000000000147 · Cited by 836 · see citing works
Self-citationA Modern Approach to Dyslipidemia
Berberich, A. J., & Hegele, R. A. (2021) · Endocrine Reviews · doi:10.1210/endrev/bnab037 · Cited by 502 · see citing works
Residual Cardiovascular Risk at Low LDL: Remnants, Lipoprotein(a), and Inflammation
Hoogeveen, R. C., & Ballantyne, C. M. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa252 · Cited by 316 · see citing works
Okamura, T., Tsukamoto, K., Arai, H., Fujioka, Y., Ishigaki, Y., Koba, S., Ohmura, H., Shoji, T., Yokote, K., Yoshida, H., et al. (2023) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.gl2022 · Cited by 317 · see citing works
Ten things to know about ten cardiovascular disease risk factors
Bays, H. E., Taub, P. R., Epstein, E., Michos, E. D., Ferraro, R. A., Bailey, A. L., Kelli, H. M., Ferdinand, K. C., Echols, M. R., Weintraub, H., et al. (2021) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2021.100149 · Cited by 274 · see citing works
Apolipoprotein B and Cardiovascular Disease: Biomarker and Potential Therapeutic Target
Behbodikhah, J., Ahmed, S., Elyasi, A., Kasselman, L. J., Leon, J. D., Glass, A. D., & Reiss, A. B. (2021) · Metabolites · doi:10.3390/metabo11100690 · Cited by 284 · see citing works
“ApoB has been proposed as a better predictor of MCVE because a single molecule is found in every atherogenic particle and LDL-C levels alone can miss elevated particle numbers [271].”
BackgroundPreclinical development and phase 1 trial of a novel siRNA targeting lipoprotein(a)
Koren, M. J., Moriarty, P. M., Baum, S. J., Neutel, J., Hernandez-Illas, M., Weintraub, H. S., Florio, M., Kassahun, H., Melquist, S., Varrieur, T., et al. (2022) · Nature Medicine · doi:10.1038/s41591-021-01634-w · Cited by 239 · see citing works
Self-citationRoeters van Lennep, J. E., Tokgözoğlu, L. S., Badimon, L., Dumanski, S. M., Gulati, M., Hess, C. N., Holven, K. B., Kavousi, M., Kayıkçıoğlu, M., Lutgens, E., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad472 · Cited by 229 · see citing works
Tardif, J.-C., Karwatowska-Prokopczuk, E., Amour, E. S., Ballantyne, C. M., Shapiro, M. D., Moriarty, P. M., Baum, S. J., Hurh, E., Bartlett, V. J., Kingsbury, J., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehab820 · Cited by 210 · see citing works
Non-HDL-cholesterol in dyslipidemia: Review of the state-of-the-art literature and outlook
Raja, V., Aguíar, C., Al-Sayed, N., Chibber, Y. S., ElBadawi, H., Владиславович, Е. М., Hermans, M. P., Pandey, R. C., Ray, K. K., Tokgözoğlu, L. S., et al. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.117312 · Cited by 217 · see citing works
Contribution of remnant cholesterol to cardiovascular risk
Langsted, A., Madsen, C. M., & Nordestgaard, B. G. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13059 · Cited by 193 · see citing works
Self-citationSex differences in lipids: a life course approach
Holven, K. B., & Roeters van Lennep, J. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.117270 · Cited by 180 · see citing works
Glavinovic, T., Thanassoulis, G., Graaf, J. D., Couture, P., Hegele, R. A., & Sniderman, A. D. (2022) · Journal of the American Heart Association · doi:10.1161/jaha.122.025858 · Cited by 166 · see citing works
Wilson, P. W. F., Jacobson, T. A., Martin, S. S., Jackson, E. J., Le, N., Davidson, M. H., Vesper, H. W., Frikke‐Schmidt, R., Ballantyne, C. M., & Remaley, A. T. (2021) · Journal of clinical lipidology · doi:10.1016/j.jacl.2021.09.046 · Cited by 134 · see citing works
Self-citationTen things to know about ten cardiovascular disease risk factors – 2022
Bays, H. E., Agarwala, A., German, C. A., Satish, P., Iluyomade, A., Dudum, R., Thakkar, A., Rifai, M. A., Mehta, A., Thobani, A., et al. (2022) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2022.100342 · Cited by 136 · see citing works
“[132, 133] This is especially true when atherogenic lipoprotein particle numbers are discordant with atherogenic lipoprotein cholesterol levels, [131] as may occur with diabetes mellitus or adiposopathic dyslipidemia.”
BackgroundSajja, A. P., Park, J., Sathiyakumar, V., Varghese, B. T., Pallazola, V. A., Marvel, F. A., Kulkarni, K. R., Muthukumar, A., Joshi, P. H., Gianos, E., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.28817 · Cited by 127 · see citing works
Elevated Remnant Cholesterol Reclassifies Risk of Ischemic Heart Disease and Myocardial Infarction
Doi, T., Langsted, A., & Nordestgaard, B. G. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2022.03.384 · Cited by 129 · see citing works
Self-citationSniderman, A. D., Dufresne, L., Pencina, K. M., Bilgic, S., Thanassoulis, G., & Pencina, M. J. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae258 · Cited by 117 · see citing works
Triglyceride-Rich Lipoprotein Remnants and Cardiovascular Disease
Duran, E. K., & Pradhan, A. D. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa296 · Cited by 108 · see citing works
Packard, C. J., Chapman, M. J., Sibartie, M., Laufs, U., & Masana, L. (2021) · Heart · doi:10.1136/heartjnl-2020-318760 · Cited by 109 · see citing works
Self-citationCobbaert, C. M., Althaus, H., Brkovic, I. B., Ceglarek, U., Coassin, S., Delatour, V., Deprez, L., Dikaios, I., Dittrich, J., Hoofnagle, A. N., et al. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa239 · Cited by 88 · see citing works
Self-citationMeasuring LDL-cholesterol: what is the best way to do it?
Wolska, A. T., & Remaley, A. T. (2020) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000740 · Cited by 84 · see citing works
Self-citationTriglycerides and cardiovascular disease
Esan, O., & Wierzbicki, A. S. (2021) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000862 · Cited by 83 · see citing works
Cholesterol Remnants, Triglyceride-Rich Lipoproteins and Cardiovascular Risk
Baratta, F., Cocomello, N., Coronati, M., Ferro, D., Pastori, D., Angelico, F., & Ben, M. D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054268 · Cited by 84 · see citing works
“9 mmol/L [17] in the postprandial status.”
BackgroundHepatic Lipid Metabolism Disorder and Atherosclerosis
Zhang, S., Hong, F., Ma, C., & Yang, S. (2021) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/1871530322666211220110810 · Cited by 83 · see citing works
Sniderman, A. D., Návar, A. M., & Thanassoulis, G. (2021) · JAMA Cardiology · doi:10.1001/jamacardio.2021.5080 · Cited by 78 · see citing works
Apolipoprotein B: Bridging the Gap Between Evidence and Clinical Practice
Oliveira-Gomes, D. D., Joshi, P. H., Peterson, E. D., Rohatgi, A. K., Khera, A., & Návar, A. M. (2024) · Circulation · doi:10.1161/circulationaha.124.068885 · Cited by 80 · see citing works
Pan, Y., Li, Z., Li, J., et al. (2021) · Journal of Stroke · doi:10.5853/jos.2020.03391 · Cited by 68 · see citing works
Solnica, B., Sygitowicz, G., Sitkiewicz, D., Cybulska, B., Jozwiak, J. J., Odrowąż‐Sypniewska, G., & Banach, M. (2020) · Archives of Medical Science · doi:10.5114/aoms.2020.93253 · Cited by 63 · see citing works
“Quantitative measurement of atherogenic lipoproteins, i.e. LDL, lipoprotein(a) [Lp(a)], chylomicron (CM) remnants and very low-density lipoprotein (VLDL) remnants, is of special importance in laboratory assessment of lipid metabolism and the risk of atherosclerosis progression [2, 3].”
BackgroundInfluentialBarkas, F., Nomikos, T., Liberopoulos, E. N., & Panagiotakos, D. B. (2020) · Nutrients · doi:10.3390/nu12082436 · Cited by 62 · see citing works
“Considering the fact that these are more accurate markers of the total atherogenic lipoproteins accounting for residual CVD risk than LDL-C [42], along with the fact that the insulin-resistant FH individuals are more prone to CVD development [34], omega-3 fatty acids could be beneficial in this subset of patients.”
BackgroundNew Therapies for Lowering Triglyceride-Rich Lipoproteins
Rosenson, R. S., Shaik, A., & Song, W. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.08.051 · Cited by 67 · see citing works
Lipid metabolism in women: A review
van Oortmerssen, J. A. E., Mulder, J. W. C. M., Kavousi, M., & van Lennep, J. E. R. (2025) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2025.119213 · Cited by 61 · see citing works
What do we know about the role of lipoprotein(a) in atherogenesis 57 years after its discovery?
Cybulska, B., Kłosiewicz−Latoszek, L., Penson, P. E., & Banach, M. (2020) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2020.04.004 · Cited by 57 · see citing works
“Lp(a) be measured to obtain a correct measurement of LDL-C when patients experience a poor response to LDL-C lowering therapy [75].”
BackgroundSamuel, C., Park, J.-S., Sajja, A. P., Michos, E. D., Blumenthal, R. S., Jones, S. R., & Martin, S. S. (2023) · Global Heart · doi:10.5334/gh.1214 · Cited by 56 · see citing works
Standardization of Apolipoprotein B, LDL‐Cholesterol, and Non‐HDL‐Cholesterol
Contois, J. H., Langlois, M. R., Cobbaert, C. M., & Sniderman, A. D. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.123.030405 · Cited by 57 · see citing works
Self-citationHansen, M. K., Mortensen, M. B., Warnakula Olesen, K. K., Thrane, P. G., & Maeng, M. (2024) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2023.100774 · Cited by 57 · see citing works
Packard, C. J. (2022) · Current Atherosclerosis Reports · doi:10.1007/s11883-022-00994-z · Cited by 52 · see citing works
Garcia, E., Bennett, D. W., Connelly, M. A., Jeyarajah, E. J., Warf, F. C., SHALAUROVA, I. Y., Matyus, S. P., Wolak, J. E., Oskardmay, D. N., Young, R. M., et al. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01424-2 · Cited by 49 · see citing works
Self-citationIliou, A., Mikros, E., Karaman, İ., Elliott, F., Griffin, J. L., Tzoulaki, I., & Elliott, P. (2021) · Heart · doi:10.1136/heartjnl-2019-315615 · Cited by 49 · see citing works
“43 44”
Lipoprotein(a) and cardiovascular disease: sifting the evidence to guide future research
Kamstrup, P. R., Neely, R. D. G., Nissen, S. E., Landmesser, U., Haghikia, A., Costa‐Scharplatz, M., Abbas, C. A., & Nordestgaard, B. G. (2024) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwae032 · Cited by 48 · see citing works
Self-citationThe clinical utility of apoB versus LDL-C/non-HDL-C
Kohli-Lynch, C. N., Thanassoulis, G., Moran, A. E., & Sniderman, A. D. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.05.001 · Cited by 47 · see citing works
More accurate LDL-C calculation: Externally validated, guideline endorsed
Brownstein, A. J., & Martin, S. S. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.03.030 · Cited by 46 · see citing works
Triglyceride-rich lipoproteins, remnant-cholesterol, and atherosclerotic cardiovascular disease
Ganda, O. P. (2023) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000875 · Cited by 42 · see citing works
Multiomics tools for improved atherosclerotic cardiovascular disease management
Sopić, M., Vilne, B., Gerdts, E., Trindade, F., Uchida, S., Khatib, S., Wettinger, S. B., Devaux, Y., & Magni, P. (2023) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2023.09.004 · Cited by 43 · see citing works
Bashir, B., Schofield, J., Downie, P., France, M., Ashcroft, D. M., Wright, A. K., Romeo, S., Gouni-Berthold, I., Maan, A., Durrington, P. N., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1389106 · Cited by 40 · see citing works
Welsh, P. I., Zabiby, A. A., Byrne, H., Benbow, H. R., Itani, T., Farries, G., Costa‐Scharplatz, M., Ferber, P. C., Martin, L., Brown, R., et al. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.117437 · Cited by 39 · see citing works
Long-term fasting improves lipoprotein-associated atherogenic risk in humans
Grundler, F., Plonné, D., Mesnage, R., Müller, D., Sirtori, C. R., Ruscica, M., & de Toledo, F. W. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02578-0 · Cited by 37 · see citing works
Hypertriglyceridaemia: an update
Wierzbicki, A. S., Kim, E. J., Esan, O., & Ramachandran, R. (2022) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2021-207719 · Cited by 41 · see citing works
“36 Patients with some inherited errors of glycolysis or those receiving intravenous fat emulsions, which contain glycerol can have pseudo-hypertriglyceridaemia.”
BackgroundDurlach, V., Bonnefont‐Rousselot, D., Boccara, F., Varret, M., Filippo, M. D., Cariou, B., Valéro, R., Charrière, S., Farnier, M., Morange, P., et al. (2021) · Archives of cardiovascular diseases · doi:10.1016/j.acvd.2021.10.009 · Cited by 35 · see citing works
“Use assays expressing (LOE B/Class I) [49] In the absence of Lp(a) standardization, use a 5-point calibration against the reference (LOE B/Class I) [49] Do not use a single (LOE C/Class III) [49,186] ≈ ≥”
Self-citationDoerfler, A. M., Park, S. H., Assini, J. M., Youssef, A., Saxena, L., Yaseen, A. B., Giorgi, M. D., Chuecos, M. A., Hurley, A. E., Li, A., et al. (2022) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2022.10.009 · Cited by 37 · see citing works
Advanced lipoprotein profile disturbances in type 1 diabetes mellitus: a focus on LDL particles
Amor, A. J., Castelblanco, E., Hernández, M., Giménez, M., Granado-Casas, M., Blanco, J., Soldevila, B., Esmatjes, E., Conget, I., Alonso, N., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01099-0 · Cited by 36 · see citing works
Lipoprotein(a) Lowering—From Lipoprotein Apheresis to Antisense Oligonucleotide Approach
Greco, M. F., Sirtori, C. R., Corsini, A., Владиславович, Е. М., Sampietro, T., & Ruscica, M. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9072103 · Cited by 32 · see citing works
Taranto, M. D. D., Giacobbe, C., Palma, D., Iannuzzo, G., Gentile, M., Calcaterra, I. L., Guardamagna, O., Auricchio, R., Minno, M. N. D. D., & Fortunato, G. (2021) · Clinical Genetics · doi:10.1111/cge.14036 · Cited by 32 · see citing works
Comparability of 11 different equations for estimating LDL cholesterol on different analysers
Rossouw, H. M., Nagel, S. E., & Pillay, T. S. (2021) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2021-0747 · Cited by 31 · see citing works
Elevated Lipoprotein(a): Background, Current Insights and Future Potential Therapies
Handhle, A., Viljoen, A., & Wierzbicki, A. S. (2021) · Vascular Health and Risk Management · doi:10.2147/vhrm.s266244 · Cited by 31 · see citing works
Kristensen, F., Christensen, D. H., Mortensen, M. B., Mæng, M., Kahlert, J. A., Sørensen, H. T., & Thomsen, R. W. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01921-5 · Cited by 28 · see citing works
Liang, S., Mijatovic, J., Li, A., Koemel, N. A., Nasir, R., Toniutti, C., Bell-Anderson, K. S., Skilton, M. R., & O’Leary, F. (2022) · Nutrients · doi:10.3390/nu15010076 · Cited by 28 · see citing works
LDL-C levels, lipid-lowering treatment and recurrent stroke in minor ischaemic stroke or TIA
Pan, Y., Wangqin, R., Li, H., Jin, A., Li, J., Lin, J., Meng, X., Xian, Y., Laskowitz, D. T., & Wang, Y. (2022) · Stroke and Vascular Neurology · doi:10.1136/svn-2021-001317 · Cited by 26 · see citing works
Johansen, A. K., Bogsrud, M. P., Christensen, J. J., Rundblad, A., Narverud, I., Ulven, S. M., Langslet, G., Retterstøl, K., & Holven, K. B. (2023) · Atherosclerosis Plus · doi:10.1016/j.athplu.2023.01.001 · Cited by 26 · see citing works
“We compared the lipid levels from our Norwegian cohort with lipid levels from a general population from the Netherlands [17] and Denmark [18].”
ResultLiang, C., Qiao, L., Han, Y., Liu, J., Zhang, J., & Liu, W. (2020) · Animals · doi:10.3390/ani10081317 · Cited by 27 · see citing works
Apolipoprotein B - An ideal biomarker for atherosclerosis?
Singh, K., & Prabhakaran, D. (2024) · Indian Heart Journal · doi:10.1016/j.ihj.2023.12.001 · Cited by 25 · see citing works
“49,50 In patients with VLDL-C levels and elevated triglycerides, measurement of both Apo B and non-HDL-C is recommended as part of a routine lipid panel for ASCVD risk evaluation 51 (Table 2).”
BackgroundArnold, N., Blaum, C. M., Goßling, A., Brunner, F. J., Bay, B., Zeller, T., Ferrario, M. M., Brambilla, P., Cesana, G., Leoni, V., et al. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2024.04.050 · Cited by 24 · see citing works
German, C. A., & Shapiro, M. D. (2020) · European Cardiology Review · doi:10.15420/ecr.2019.18 · Cited by 24 · see citing works
Yang, P., Li, Y., Wang, J., et al. (2022) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.63695 · Cited by 24 · see citing works
Remnant lipoprotein particles and cardiovascular disease risk
Krauss, R. M., & King, S. M. (2022) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2022.101682 · Cited by 22 · see citing works
Zhang, C., Ni, J., & Chen, Z. (2022) · Clinical Therapeutics · doi:10.1016/j.clinthera.2022.06.010 · Cited by 23 · see citing works
Solnica, B., Sygitowicz, G., Sitkiewicz, D., Jozwiak, J. J., Kasperczyk, S., Broncel, M., Wolska, A. T., Odrowąż‐Sypniewska, G., & Banach, M. (2024) · Archives of Medical Science · doi:10.5114/aoms/186191 · Cited by 24 · see citing works
“It is recommended that lipid profile be repeated in the fasting sample if the non-fasting TG level is > 400 mg/dl (4.5 mmol/l) [2, 10].”
BackgroundInfluentialApolipoprotein B: the Rosetta Stone of lipidology
Glavinovic, T., & Sniderman, A. D. (2020) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000596 · Cited by 22 · see citing works
Worldwide Increasing Use of Nonfasting Rather Than Fasting Lipid Profiles
Langsted, A., & Nordestgaard, B. G. (2024) · Clinical Chemistry · doi:10.1093/clinchem/hvae046 · Cited by 20 · see citing works
Self-citationWolf, H. A. D., Langlois, M. R., Suvisaari, J. V. J., Aakre, K. M., Baum, H. H. E., Collinson, P. O., Duff, C. J., Gruson, D., Hammerer‐Lercher, A., Pulkki, K. J., et al. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.05.038 · Cited by 20 · see citing works
Self-citationZafrir, B., Khoury, R., & Saliba, W. (2023) · Journal of clinical lipidology · doi:10.1016/j.jacl.2023.03.009 · Cited by 20 · see citing works
2022 Saudi Guidelines for the Management of Dyslipidemia
Alrahimi, J. S., AlSaif, S. M., Alasnag, M. A., Awan, Z. A., Almutairi, F., Mudaiheem, H. Y. A., Gencer, B., Catapano, A. L., Mach, F., & Tash, A. A. (2023) · Heart Views · doi:10.4103/heartviews.heartviews_102_22 · Cited by 21 · see citing works
Self-citationMartin, S. S., Ditmarsch, M., Simmons, M., Alp, N., Turner, T. A., Davidson, M. H., & Kastelein, J. J. P. (2022) · European Heart Journal - Cardiovascular Pharmacotherapy · doi:10.1093/ehjcvp/pvac056 · Cited by 19 · see citing works
Basic and translational evidence supporting the role of TM6SF2 in VLDL metabolism
Liu, J., Ginsberg, H. N., & Reyes-Soffer, G. (2024) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000930 · Cited by 19 · see citing works
Lipids, lipoproteins, and apolipoproteins: Associations with cognition and dementia
Rasmussen, I. J., Luo, J. M., & Frikke‐Schmidt, R. (2024) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2024.118614 · Cited by 20 · see citing works
Santos, L. P., & Umpierre, D. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00840 · Cited by 18 · see citing works
LDL-Cholesterol versus Glucose in Microvascular and Macrovascular Disease
Emanuelsson, F., & Benn, M. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa242 · Cited by 18 · see citing works
Friedewald formula may be used to calculate non-HDL-C from LDL-C and TG
Romaszko, J., Gromadziński, L., & Buciński, A. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1247126 · Cited by 17 · see citing works
Ceramides improve cardiovascular risk prediction beyond low-density lipoprotein cholesterol
Leiherer, A., Muendlein, A., Saely, C. H., Laaksonen, R., Fraunberger, P., & Drexel, H. (2023) · European Heart Journal Open · doi:10.1093/ehjopen/oeae001 · Cited by 19 · see citing works
Buga, A., Welton, G. L., Scott, K., Atwell, A. D., Haley, S., Esbenshade, N., Abraham, J., Buxton, J. D., Ault, D. L., Raabe, A., et al. (2022) · Nutrients · doi:10.3390/nu14061135 · Cited by 18 · see citing works
Predictive value of remnant cholesterol level for all-cause mortality in heart failure patients
Zhao, L., Zhao, X., Tian, P., Liang, L., Huang, B., Huang, L., Feng, J., Zhang, Y., & Zhang, J. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1063562 · Cited by 16 · see citing works
Colesterol remanente, riesgo vascular y prevención de la arteriosclerosis
Pintó, X., Fanlo‐Maresma, M., Esteve, V., Millán, J., Blanco, A., Blasco, M., Díaz-Díaz, J. L., Rodríguez, Á. D., Mangas, A., Pascual, V., et al. (2023) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2023.02.001 · Cited by 18 · see citing works
Correia, M., Kagenaar, E., van Schalkwijk, D. B., Bourbon, M., & Gama‐Carvalho, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-83392-w · Cited by 16 · see citing works
Predictors of Carotid Intima‐Media Thickness Progression in Adolescents—The EVA‐Tyrol Study
Zollner-Kiechl, S., Staudt, A., Stock, K., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020233 · Cited by 15 · see citing works
“32 Systolic blood pressure and arterial hypertension (defined as systolic blood pressure ≥130 mm Hg, diastolic blood pressure ≥80 mm Hg, or any of the 2 at or above the age-and sex-specific 95th percentile) were associated with cIMT progression, consistent with prior studies.”
Cardiovascular risks before myocardial infarction differences between men and women
Nyström, A., Strömberg, S., Jansson, K., Faresjö, Å., & Faresjö, T. (2022) · BMC Cardiovascular Disorders · doi:10.1186/s12872-022-02555-3 · Cited by 14 · see citing works
“Risk prediction threshold values for lipids are based on the consensusbased recommendations from European Atherosclerosis Society and European Federation of Clinical Chemistry and Laboratory Medicine [20].”
MethodLipoprotein Assessment in the twenty-first Century
Lucero, D., Wolska, A. T., Aligabi, Z., Turecamo, S. E., & Remaley, A. T. (2022) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2022.02.009 · Cited by 14 · see citing works
Self-citationStepanova, N. (2024) · Biomedicines · doi:10.3390/biomedicines12102377 · Cited by 14 · see citing works
Bril, F., Berg, G. A., Barchuk, M., & Nogueira, J. P. (2025) · Journal of Lipid and Atherosclerosis · doi:10.12997/jla.2025.14.1.5 · Cited by 15 · see citing works
Yoshida, H., Ito, K., Manita, D., Sato, R., Hiraishi, C., Matsui, S., & Hirowatari, Y. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.756057 · Cited by 14 · see citing works
Dintshi, M., Kone, N., & Khoza, S. P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277981 · Cited by 14 · see citing works
Mediterranean Dietary Treatment in Hyperlipidemic Children: Should It Be an Option?
Massini, G., Capra, N., Buganza, R., Nyffenegger, A., SANCTIS, L. D., & Guardamagna, O. (2022) · Nutrients · doi:10.3390/nu14071344 · Cited by 13 · see citing works
“Anyway, the dietary SFAs’ variable is more commonly recognized as being positively related to serum LDL-C concentrations, and there is consensus on its benefits to attain safe LDL-C levels, as shared by International Guidelines [12,14,16].”
BackgroundMethodWang, Y., Li, W., Zhao, Z., Yin, S., Tang, X., & Zhang, K. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-04446-1 · Cited by 14 · see citing works
Hustad, K. S., Rundblad, A., Ottestad, I. O., Christensen, J. J., Holven, K. B., & Ulven, S. M. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520002305 · Cited by 13 · see citing works
Jungert, A., & Neuhäuser‐Berthold, M. (2020) · Nutrients · doi:10.3390/nu12102944 · Cited by 13 · see citing works
“The median serum cholesterol concentration in our subjects is within the sex-specific reference ranges reported for the age group 66–100 years, which also indicate lower values for men compared to women [53].”
Rizos, C. V., Florentin, M., Skoumas, I., Τζιόμαλος, Κ., Rallidis, L. S., Kotsis, V., Athyros, V., Skalidis, E. I., Kolovou, G. D., Garoufi, A., et al. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01289-5 · Cited by 12 · see citing works
Self-citationMartínez‐Morillo, E., García-García, M., Concha, M. A. L., & Rello, L. (2020) · Biochemia Medica · doi:10.11613/bm.2021.010701 · Cited by 12 · see citing works
Kripp, A. M., Feichter, A., & König, D. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1473747 · Cited by 14 · see citing works
Borén, J., Packard, C. J., Nordestgaard, B. G., & Catapano, A. L. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehaf214 · Cited by 12 · see citing works
Self-citationBergström, H., Ekström, L., Warnqvist, A., Bergman, P., & Björkhem‐Bergman, L. (2021) · BMC Women s Health · doi:10.1186/s12905-021-01306-4 · Cited by 11 · see citing works
“Furthermore, a novelty in our study was that the sampling was performed in a non-fasting state in accordance with recent consensus [12] and in contrast with most previously performed studies [22].”
BackgroundMethodResult
- Authors
- Nordestgaard, B. G., Langlois, M. R., Langsted, A., Chapman, M. J., Aakre, K. M., Baum, H., Borén, J., Bruckert, E., Catapano, A., Cobbaert, C., Collinson, P., Descamps, O. S., Duff, C. J., von Eckardstein, A., Hammerer-Lercher, A., Kamstrup, P. R., Kolovou, G., Kronenberg, F., Mora, S., Pulkki, K., Remaley, A. T., Rifai, N., Ros, E., Stankovic, S., Stavljenic-Rukavina, A., Sypniewska, G., Watts, G. F., Wiklund, O., & Laitinen, P.
- Affiliations
- University of Copenhagen (DK)
- Ghent University (BE)
- Inserm (FR)
- Haukeland University Hospital (NO)
- Klinikum Ludwigsburg (DE)
- Sahlgrenska University Hospital (SE)
- University of Milan (IT)
- Leiden University Medical Center (NL)
- St George's, University of London (GB)
- Cliniques Universitaires Saint-Luc (BE)
- University Hospitals of North Midlands NHS Trust (GB)
- Onassis Cardiac Surgery Center (GR)
- Innsbruck Medical University (AT)
- Brigham and Women's Hospital (US)
- University of Turku (FI)
- National Institutes of Health (US)
- Boston Children's Hospital (US)
- Instituto de Salud Carlos III (ES)
- Univerzitetski Klinički Centar Srbije (RS)
- Corresponding author
- Nordestgaard, Børge G.
- Langlois, Michel R.
- ORCID
- Nordestgaard, Børge G.
- Langsted, Anne
- Chapman, M. John
- Aakre, Kristin M.
- Baum, Hannsjörg
- Borén, Jan
- Catapano, Alberico
- Cobbaert, Christa
- Collinson, Paul
- Descamps, Olivier S.
- Duff, Christopher J.
- Kamstrup, Pia R.
- Kolovou, Genovefa
- Kronenberg, Florian
- Mora, Samia
- Pulkki, Kari
- Remaley, Alan T.
- Rifai, Nader
- Ros, Emilio
- Stankovic, Sanja
- Venue
- Atherosclerosis
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 294
- Pages
- 46-61
- ISSN
- 0021-9150 (ISSN-L)
- OpenAlex
- W2996456596
- Semantic Scholar
- 440b3e0b67ecf979049e435e66f4f3e2ecb15ca5
- Cited by
- 240
- References
- 107
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 31 · 2023: 58 · 2022: 30 · 2021: 45 · 2020: 43
- FWCI
- 35.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Atherosclerosis (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- UWA Profiles and Research Repository (University of Western Australia) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion, other-oa)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- St George's Online Research Archive (St George's University of London) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion, cc-by-nc-nd)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Merck
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- atherogenic lipoproteins, lipid-lowering therapy, LDL cholesterol, non-HDL cholesterol, HDL cholesterol, triglycerides, lipoprotein(a), apolipoprotein B
- MeSH terms
- Hypolipidemic Agents, Humans, Hyperlipidemias, Lipoproteins, Atherosclerosis
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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