The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.
High Density Lipoprotein Cholesterol and the Risk of All-Cause Mortality among U.S. Veterans
Open accessAbstract
Background and objectives: The relationship between HDL cholesterol and all-cause mortality in patients with kidney disease is not clear. We sought to characterize the relationship of HDL cholesterol and risk of death and examine the association by eGFR levels. Design, setting, participants, & measurements: We built a cohort of 1,764,986 men who were United States veterans with at least one eGFR between October of 2003 and September of 2004 and followed them until September of 2013 or death. Results: Patients with low HDL cholesterol and low eGFR had a higher burden of comorbid illnesses. Over a median of 9.1 years (interquartile range, 7.7–9.4 years), 26,247 (40.1%), 109,222 (32.3%), 152,625 (29.2%), 113,785 (28.5%), and 139,803 (31.8%) participants with HDL cholesterol ≤25, >25 to <34, ≥34 to ≤42, >42 to <50, and ≥50 mg/dl died. In adjusted survival models, compared with the referent group of patients with low HDL cholesterol (≤25 mg/dl), intermediate HDL cholesterol levels (>25 to <34, ≥34 to ≤42, and >42 to <50 mg/dl) were associated with lower risk of death across all levels of eGFR. The lower risk was partially abrogated in those with high HDL cholesterol (≥50 mg/dl), and the risk of death was similar to the referent category among those with eGFR<30 or ≥90 ml/min per 1.73 m 2 . Analysis by HDL cholesterol deciles and spline analyses suggest that the relationship between HDL cholesterol and death follows a U-shaped curve. There was a significant interaction between eGFR and HDL cholesterol in that lower eGFR attenuated the salutary association of HDL cholesterol and risk of death ( P for interaction <0.01). Presence of coronary artery disease attenuated the lower risk of high HDL cholesterol and all-cause mortality in those with eGFR≥60 ml/min per 1.73 m 2 ( P for interaction <0.05). Conclusions: Our results show a U-shaped relationship between HDL cholesterol and risk of all-cause mortality across all eGFR categories. The risk is modified by eGFR and cardiovascular disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A recent register study of more than 1 million US veterans found a U-shaped relationship between HDL-C and total mortality with 50 mg/dL (1.25 mmol/L) as the nadir associated with the lowest mortality [76].”
From Comparisons of the effects of different flaxseed products consumption on lipid profiles, inflammatory cytokines and anthropometric indices in patients with dyslipidemia related diseases: systematic review and a dose-response meta-analysis of randomized controlled trials (2021) · cites this paper as [76]
Experimental — accuracy not yet measuredIn the citing paper
“A recent register study of more than 1 million US veterans found a U-shaped relationship between HDL-C and total mortality with 50 mg/dL (1.25 mmol/L) as the nadir associated with the lowest mortality [5].”
From HDL cholesterol: reappraisal of its clinical relevance (2017) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C., Saunders, L. D., Beck, C. A., Feasby, T. E., & Ghali, W. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000182534.19832.83 · Cited by 10,669
A formula to estimate the approximate surface area if height and weight be known. 1916.
Bois, D. D., & Bois, E. F. D. (1989) · PubMed · Cited by 5,303
Effects of torcetrapib in patients at high risk for coronary events
Barter, P. J., Caulfield, M., Eriksson, M., Grundy, S. M., Kastelein, J. J. P., Komajda, M., Lopez-Sendon, J., Mosca, L., Tardif, J.-C., Waters, D. D., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa0706628 · Cited by 3,139
Effects of dalcetrapib in patients with a recent acute coronary syndrome
Schwartz, G. G., Olsson, A. G., Abt, M., Ballantyne, C. M., Barter, P. J., Brumm, J., Chaitman, B. R., Holme, I. M., Kallend, D., Leiter, L. A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206797 · Cited by 2,022
HDL cholesterol, very low levels of LDL cholesterol, and cardiovascular events
Barter, P., Gotto, A. M., LaRosa, J. C., Maroni, J., Szarek, M., Grundy, S. M., Kastelein, J. J. P., Bittner, V., & Fruchart, J.-C. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa064278 · Cited by 1,610
Muntner, P., Coresh, J., Smith, J. C., Eckfeldt, J., & Klag, M. J. (2000) · Kidney International · doi:10.1046/j.1523-1755.2000.00165.x · Cited by 667
Proton Pump Inhibitors and Risk of Incident CKD and Progression to ESRD
Xie, Y., Bowe, B. C., Li, T., Xian, H., Balasubramanian, S., & Al‐Aly, Z. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2015121377 · Cited by 334
Self-citationSpeer, T., Rohrer, L., Blyszczuk, P., Shroff, R., Kuschnerus, K., Kränkel, N., Kania, G., Zewinger, S., Akhmedov, A., Shi, Y., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.02.009 · Cited by 310
Trevisan, R., Dodesini, A. R., & Lepore, G. (2006) · Journal of the American Society of Nephrology · doi:10.1681/asn.2005121320 · Cited by 246
Dysfunctional High-Density Lipoprotein in Patients on Chronic Hemodialysis
Yamamoto, S., Yancey, P. G., Ikizler, T. A., Jerome, W. G., Kaseda, R., Cox, B. E., Bian, A., Shintani, A., Fogo, A. B., Linton, M. F., et al. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.09.013 · Cited by 197
Flagged first, then by citations
1 of the 28 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Voight, 2012, Plasma HDL cholesterol and risk of myocardial infarction: A Mendelian randomisation study., Lancet, 380, 572, 10.1016/S0140-6736(12)60312-2 · DOI · Paper page
Cited by
Sorted by citations
High-dimensional characterization of post-acute sequelae of COVID-19
Al-Aly, Z., Xie, Y., & Bowe, B. (2021) · Nature · doi:10.1038/s41586-021-03553-9 · Cited by 1,518
Self-citationXie, Y., Bowe, B. C., Mokdad, A. H., Xian, H., Yan, Y., Li, T., Maddukuri, G. S., Tsai, C.-Y., Floyd, T., & Al‐Aly, Z. (2018) · Kidney International · doi:10.1016/j.kint.2018.04.011 · Cited by 1,447
Self-citationMadsen, C. M., Varbo, A., & Nordestgaard, B. G. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx163 · Cited by 715
High-density lipoprotein revisited: biological functions and clinical relevance
von Eckardstein, A., Nordestgaard, B. G., Remaley, A. T., & Catapano, A. L. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehac605 · Cited by 401
Burden of Cause-Specific Mortality Associated With PM 2.5 Air Pollution in the United States
Bowe, B., Xie, Y., Yan, Y., & Al-Aly, Z. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.15834 · Cited by 367
Self-citationParticulate Matter Air Pollution and the Risk of Incident CKD and Progression to ESRD
Bowe, B. C., Xie, Y., Li, T., Yan, Y., Xian, H., & Al‐Aly, Z. (2017) · Journal of the American Society of Nephrology · doi:10.1681/asn.2017030253 · Cited by 363
Self-citationXie, Y., Bowe, B. C., & Al‐Aly, Z. (2021) · Nature Communications · doi:10.1038/s41467-021-26513-3 · Cited by 301
Self-citationHDL cholesterol: reappraisal of its clinical relevance
März, W., Kleber, M. E., Scharnagl, H., Speer, T., Zewinger, S., Ritsch, A., Parhofer, K. G., von Eckardstein, A., Landmesser, U., & Laufs, U. (2017) · Clinical Research in Cardiology · doi:10.1007/s00392-017-1106-1 · Cited by 275
High-density lipoproteins, reverse cholesterol transport and atherogenesis
Pownall, H. J., Rosales, C., Gillard, B. K., & Gotto, A. M. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00538-z · Cited by 266
Xie, Y., Bowe, B. C., Li, T., Xian, H., Yan, Y., & Al‐Aly, Z. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-015735 · Cited by 231
Self-citationXie, Y., Bowe, B. C., Yan, Y., Xian, H., Li, T., & Al‐Aly, Z. (2019) · BMJ · doi:10.1136/bmj.l1580 · Cited by 231
Self-citationHegele, R. A., Borén, J., Ginsberg, H. N., Arca, M., Averna, M., Binder, C. J., Calabresi, L., Chapman, M. J., Cuchel, M., von Eckardstein, A., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30264-5 · Cited by 204
Xie, Y., Bowe, B. C., Li, T., Xian, H., Yan, Y., & Al‐Aly, Z. (2017) · Kidney International · doi:10.1016/j.kint.2016.12.021 · Cited by 201
Self-citationBowe, B. C., Xie, Y., Li, T., Yan, Y., Xian, H., & Al‐Aly, Z. (2017) · The Lancet Planetary Health · doi:10.1016/s2542-5196(17)30117-1 · Cited by 202
Self-citationHigher blood urea nitrogen is associated with increased risk of incident diabetes mellitus
Xie, Y., Bowe, B. C., Li, T., Xian, H., Yan, Y., & Al‐Aly, Z. (2017) · Kidney International · doi:10.1016/j.kint.2017.08.033 · Cited by 198
Self-citationHemodialysis‐induced cardiovascular disease
Ahmadmehrabi, S., & Tang, W. H. W. (2018) · Seminars in Dialysis · doi:10.1111/sdi.12694 · Cited by 191
High-Density Lipoprotein Cholesterol and Mortality
Hamer, M., O’Donovan, G., & Stamatakis, E. A. (2018) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.117.310587 · Cited by 171
Liver Sinusoidal Endothelial Cell: An Update
Maretti-Mira, A. C., & DeLeve, L. D. (2017) · Seminars in Liver Disease · doi:10.1055/s-0037-1617455 · Cited by 164
Zhong, G., Huang, S.-Q., Peng, Y., Wan, L., Wu, Y., Hu, T., Hu, J., & Hao, F. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487320914756 · Cited by 141
Trimarco, V., Izzo, R., Morisco, C., Mone, P., Manzi, M. V., Falco, A., Pacella, D., Gallo, P., Lembo, M., Santulli, G., et al. (2022) · Hypertension · doi:10.1161/hypertensionaha.122.19912 · Cited by 130
Yi, J., Wang, L., Guo, X., & Ren, X. (2023) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2023.01.021 · Cited by 125
Symmetric dimethylarginine, high-density lipoproteins and cardiovascular disease
Zewinger, S., Kleber, M. E., Rohrer, L., Lehmann, M., Triem, S., Jennings, R. T., Petrakis, I., Dressel, A., Lepper, P. M., Scharnagl, H., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx118 · Cited by 116
Bowe, B. C., Artimovich, E., Xie, Y., Yan, Y., Cai, M., & Al‐Aly, Z. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2019-002063 · Cited by 107
Self-citationCai, M., Xie, Y., Bowe, B. C., Gibson, A. K., Zayed, M. A., Li, T., & Al‐Aly, Z. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.33953 · Cited by 96
Self-citationHDL and Reverse Remnant-Cholesterol Transport (RRT): Relevance to Cardiovascular Disease
Kontush, A. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.07.005 · Cited by 93
Madsen, C. M., Varbo, A., & Nordestgaard, B. G. (2020) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.120.314050 · Cited by 88
HDL and type 2 diabetes: the chicken or the egg?
Xepapadaki, E., Nikdima, I., Sagiadinou, E. C., Zvintzou, E., & Kypreos, K. E. (2021) · Diabetologia · doi:10.1007/s00125-021-05509-0 · Cited by 89
Plasma high-density lipoprotein cholesterol and risk of dementia: observational and genetic studies
Kjeldsen, E. W., Thomassen, J. Q., Rasmussen, I. J., Nordestgaard, B. G., Tybjærg‐Hansen, A., & Frikke‐Schmidt, R. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvab164 · Cited by 87
Association between Monocyte Count and Risk of Incident CKD and Progression to ESRD
Bowe, B. C., Xie, Y., Xian, H., Li, T., & Al‐Aly, Z. (2017) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.09710916 · Cited by 78
Self-citationHDL Cholesterol and Non-Cardiovascular Disease: A Narrative Review
Kjeldsen, E. W., Nordestgaard, L. T., & Frikke‐Schmidt, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094547 · Cited by 76
HDL abnormalities in familial hypercholesterolemia: Focus on biological functions
Ganjali, S., Momtazi‐Borojeni, A. A., Banach, M., Kovanen, P. T., Stein, E. A., & Sahebkar, A. (2017) · Progress in Lipid Research · doi:10.1016/j.plipres.2017.05.001 · Cited by 68
HDL cholesterol and ASCVD risk stratification: A debate
Barter, P. J., & Genest, J. J. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.01.001 · Cited by 68
Kjeldsen, E. W., Thomassen, J. Q., & Frikke‐Schmidt, R. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2021.159063 · Cited by 70
Lipoproteins in chronic kidney disease: from bench to bedside
Speer, T., Ridker, P. M., von Eckardstein, A., Schunk, S. J., & Fliser, D. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa1050 · Cited by 67
Jiang, M., Sun, J.-Y., Zou, H., Li, M., Su, Z., Sun, W. Y., & Kong, X. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.807339 · Cited by 62
Τhe Antioxidant Function of HDL in Atherosclerosis
Xepapadaki, E., Zvintzou, E., Kalogeropoulou, C. P., Filou, S., & Kypreos, K. E. (2019) · Angiology · doi:10.1177/0003319719854609 · Cited by 63
Mazidi, M., Mikhailidis, D. P., & Banach, M. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.11.095 · Cited by 58
Sadkovyi, V., Pospelov, B., Andronov, V., Rybka, E., Krainiukov, O., Rud, A., Карпець, К. М., & Bezuhla, Y. (2020) · Eastern-European Journal of Enterprise Technologies · doi:10.15587/1729-4061.2020.218714 · Cited by 57
Geographic Variation and US County Characteristics Associated With Rapid Kidney Function Decline
Bowe, B. C., Xie, Y., Xian, H., Lian, M., & Al‐Aly, Z. (2016) · Kidney International Reports · doi:10.1016/j.ekir.2016.08.016 · Cited by 54
Self-citationHigh-Density Lipoprotein Cholesterol and All-Cause and Cause-Specific Mortality Among the Elderly
Li, Z., Lv, Y., Zhong, W.-F., Gao, X., Kraus, V. B., Zou, M., Zhang, X.-R., Li, F.-R., Yuan, J.-Q., Shi, X., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02511 · Cited by 55
HDL cholesterol concentration or HDL function: which matters?
Barter, P. J., & Rye, K. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx274 · Cited by 54
Kidney function is associated with an altered protein composition of high-density lipoprotein
Rubinow, K. B., Henderson, C. M., Robinson‐Cohen, C., Himmelfarb, J., de Boer, I. H., Vaisar, T., Kestenbaum, B. R., & Hoofnagle, A. N. (2017) · Kidney International · doi:10.1016/j.kint.2017.05.020 · Cited by 52
Yuan, S., Huang, X., Ma, W., Yang, R., Xu, F., Han, D., Huang, T., Peng, M., Xu, A., & Lyu, J. (2022) · Stroke and Vascular Neurology · doi:10.1136/svn-2022-001668 · Cited by 51
Oh, I., Hur, J. K., Ryoo, J., Jung, J. Y., Park, S. K., Yang, H. J., Choi, J., Jung, K., Won, Y., & Oh, C. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.01.035 · Cited by 50
Huhn, G. D., Shamblaw, D., Baril, J.-G., Hsue, P. Y., Mills, B. L., Nguyen-Cleary, T., McCallister, S. H., & Das, M. (2019) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofz472 · Cited by 51
From HDL-cholesterol to HDL-function: cholesterol efflux capacity determinants
Rhainds, D., & Tardif, J. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000589 · Cited by 46
Yi, S., Park, S.-J., Yi, J., Ohrr, H., & Kim, H. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa243 · Cited by 45
Does Elevated High-Density Lipoprotein Cholesterol Protect Against Cardiovascular Disease?
Razavi, A. C., Jain, V., Grandhi, G. R., Patel, P., Karagiannis, A. D., Patel, N. H., Dhindsa, D. S., Liu, C., Desai, S., Almuwaqqat, Z., et al. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad406 · Cited by 47
Li, X., Guan, B., Wang, Y., Tse, G., Zou, F., Waleed, K. B., Xia, Y., Wu, S., & Sun, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-50924-4 · Cited by 43
The effect of chronic kidney disease on lipid metabolism
Di̇nçer, N., Dağel, T., Afşar, B., Covic, A. C., Ortíz, A., & Kanbay, M. (2018) · International Urology and Nephrology · doi:10.1007/s11255-018-2047-y · Cited by 42
Yu, Y., Li, M., Huang, X. B., Zhou, W., Wang, T., Zhu, L., Ding, C., Yu, T., Bao, H., & Cheng, X. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01413-5 · Cited by 42
Diabetes Minimally Mediated the Association Between PM2.5 Air Pollution and Kidney Outcomes
Bowe, B. C., Xie, Y., Yan, Y., Xian, H., & Al‐Aly, Z. (2020) · Scientific Reports · doi:10.1038/s41598-020-61115-x · Cited by 40
Self-citationYang, C., Xia, H., Wan, M., Lu, Y., Xu, D., Yang, X., Yang, L., & Sun, G. (2021) · Nutrition & Metabolism · doi:10.1186/s12986-021-00619-3 · Cited by 40
Serum phosphorus levels and risk of incident dementia
Li, T., Xie, Y., Bowe, B. C., Xian, H., & Al‐Aly, Z. (2017) · PLoS ONE · doi:10.1371/journal.pone.0171377 · Cited by 44
Self-citationMørland, J. G., Magnus, P. M., Vollset, S. E., Leon, D. A., Selmer, R. M., & Tverdal, A. (2023) · International Journal of Epidemiology · doi:10.1093/ije/dyad011 · Cited by 40
Chang, T. I., Streja, E., Ko, G. J., Naderi, N., Rhee, C. M., Kovesdy, C. P., Kashyap, M. L., Vaziri, N. D., Kalantar‐Zadeh, K., & Moradi, H. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009096 · Cited by 39
Chang, L., Chen, X., & Lian, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-07459-y · Cited by 36
Remnant cholesterol is associated with cardiovascular mortality
Zhang, K., Qi, X., Zhu, F., Dong, Q., Gou, Z., Wang, F., Xiao, L., Li, M., Chen, L., Wang, Y., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.984711 · Cited by 36
Razavi, A. C., Mehta, A., Jain, V., Patel, P., Liu, C., Patel, N. H., Eisenberg, S. D., Vaccarino, V., Isiadinso, I., Sperling, L. S., et al. (2023) · Current Cardiology Reports · doi:10.1007/s11886-023-01987-3 · Cited by 36
Wang, M.-C., Li, C., Liu, C.-S., Lin, C.-H., Yang, S.-Y., Lin, C., & Lin, C. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01421-4 · Cited by 35
Rethinking HDL-C: An In-Depth Narrative Review of Its Role in Cardiovascular Health
Perswani, P., Ismail, S. M., Mumtaz, H., Uddin, N., Asfand, M., Khalil, A. B. B., Ijlal, A., Khan, S. E., Usman, M. A., Younas, H., et al. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.102152 · Cited by 36
Osae, E. A., Steven, P., Redfern, R. L., Hanlon, S., Smith, C. W., Rumbaut, R. E., & Burns, A. R. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20143505 · Cited by 37
Cohort Study and Bias Analysis of the Obesity Paradox Across Stages of Chronic Kidney Disease
Soohoo, M., Streja, E., Hsiung, J., Kovesdy, C. P., Kalantar‐Zadeh, K., & Arah, O. A. (2021) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2021.10.007 · Cited by 34
Hunjadi, M., Lamina, C., Kahler, P., Bernscherer, T., Viikari, J. S. A., Lehtimäki, T. J., Kähönen, M. A. P., Hurme, M., Juonala, M., Taittonen, L. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76146-7 · Cited by 35
Particulate matter of air pollution may increase risk of kidney failure in IgA nephropathy
Luo, C., Ouyang, Y., Shi, S., Li, G., Zhao, Z., Luo, H., Xu, F., Shao, L., Chen, Z., Yu, S., et al. (2022) · Kidney International · doi:10.1016/j.kint.2022.08.020 · Cited by 35
Cheng, Q., Liu, X., Chen, C., Huang, Y., Feng, Y., & Chen, J. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.707701 · Cited by 31
Tsai, C.-W., Huang, H.-C., Chiang, H.-Y., Chung, C.-W., Chang, S.-N., Chu, P.-L., & Kuo, C.-C. (2019) · Journal of Lipid Research · doi:10.1194/jlr.p084590 · Cited by 28
Li, S., Cui, Y., Luo, Z.-Y., Lou, Y., Liao, M., Chen, H., Peng, X., Gao, X., Zhao, D., Xu, S., et al. (2021) · Endocrine Journal · doi:10.1507/endocrj.ej20-0794 · Cited by 27
The associations between exercise and lipid biomarkers
Sulague, R. M., Suan, N. M., Mendoza, M. F., & Lavie, C. J. (2022) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2022.11.004 · Cited by 32
Is It Time for New Thinking About High-Density Lipoprotein?
Madsen, C. M., & Nordestgaard, B. G. (2018) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.118.310727 · Cited by 29
Blood urea nitrogen and risk of insulin use among people with diabetes
Xie, Y., Bowe, B. C., Li, T., Xian, H., & Al‐Aly, Z. (2018) · Diabetes and Vascular Disease Research · doi:10.1177/1479164118785050 · Cited by 28
Self-citationYang, Y., Han, K., Park, S. H., Kim, M. K., Yoon, K., & Lee, S. (2021) · Journal of Lipid and Atherosclerosis · doi:10.12997/jla.2021.10.1.74 · Cited by 29
Grosse, L., & Bulavin, D. V. (2020) · Aging · doi:10.18632/aging.103492 · Cited by 27
Huang, Y., Liu, X., Lo, K. K.-H., Liu, L., Yu, Y., Chen, C., Huang, J., Feng, Y., & Zhang, B. (2020) · Clinical Interventions in Aging · doi:10.2147/cia.s271528 · Cited by 27
Hyperalphalipoproteinemia and Beyond: The Role of HDL in Cardiovascular Diseases
Giammanco, A., Noto, D., Barbagallo, C. M., Nardi, E., Caldarella, R., Ciaccio, M., Averna, M. R., & Cefalu, A. B. (2021) · Life · doi:10.3390/life11060581 · Cited by 27
Cardioprotective Properties of HDL: Structural and Functional Considerations
Pappa, E. T., Elisaf, M., Kostara, C. E., Bairaktari, E. T., & Tsimihodimos, V. (2019) · Current Medicinal Chemistry · doi:10.2174/0929867326666190201142321 · Cited by 28
Fanni, G., Rosato, R., Gentile, L., Anselmino, M., Frea, S., Ponzo, V., Pellegrini, M., Broglio, F., Pivari, F., Ferrari, G. M. D., et al. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02357-1 · Cited by 26
Could high-density lipoprotein cholesterol predict increased cardiovascular risk?
Chang, T. I., Streja, E., & Moradi, H. (2017) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000318 · Cited by 27
Huang, H., Yang, B., Yu, R., Ouyang, W., Tong, J., & Le, Y. (2024) · Nutrition Journal · doi:10.1186/s12937-024-00983-9 · Cited by 27
High-density lipoprotein cholesterol and causes of death in chronic kidney disease
Navaneethan, S. D., Schold, J. D., Walther, C. P., Arrigain, S., Jolly, S. E., Virani, S. S., Winkelmayer, W. C., & Nally, J. V. (2018) · Journal of clinical lipidology · doi:10.1016/j.jacl.2018.03.085 · Cited by 26
Jiang, J., Qiu, P., Wang, Y., Zhao, C., Fan, S., & Lin, X. (2019) · Archives of Osteoporosis · doi:10.1007/s11657-019-0579-0 · Cited by 25
Chiu, H., Wu, P.-Y., Huang, J.-C., Tu, H., Lin, M.-Y., Chen, S.-C., & Chang, J.-M. (2020) · Scientific Reports · doi:10.1038/s41598-020-69794-2 · Cited by 26
Kypreos, K. E., Bitzur, R., Karavia, E. A., Xepapadaki, E., Panayiotakopoulos, G. D., & Constantinou, C. (2018) · Angiology · doi:10.1177/0003319718779533 · Cited by 26
Zvintzou, E., Xepapadaki, E., Kalogeropoulou, C. P., Filou, S., & Kypreos, K. E. (2019) · Journal of Biomedical Research · doi:10.7555/jbr.33.20190048 · Cited by 24
Kim, J. Y., Park, J. T., Kim, H. W., Chang, T. I., Kang, E. W., Ahn, C., Oh, K., Lee, J., Chung, W., Kim, Y., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.021731 · Cited by 24
Association between very high HDL-C levels and mortality: A systematic review and meta-analysis
Mamede, I., Braga, M. A. P., Martins, O. C., Franchini, A. E. O., Filho, R. B. S., & Santos, M. C. F. (2024) · Journal of clinical lipidology · doi:10.1016/j.jacl.2024.06.002 · Cited by 24
Rosales, C., Gillard, B. K., Xu, B., Gotto, A. M., & Pownall, H. J. (2019) · Methodist DeBakey Cardiovascular Journal · doi:10.14797/mdcj-15-1-47 · Cited by 24
Yang, J., Li, Y., Li, X., Tao, S., Zhang, Y., Chen, T., Xie, G., Xu, H., Gao, X., & Yang, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/50067 · Cited by 23
Lui, D. T. W., Li, L., Liu, X., Xiong, X., Tang, E. H. M., Lee, C., Woo, Y. C., Lang, B. H., Wong, C. K. H., & Tan, K. C. B. (2024) · BMC Medicine · doi:10.1186/s12916-024-03810-4 · Cited by 25
Modified and Dysfunctional Lipoproteins in Atherosclerosis: Effectors or Biomarkers?
Orekhov, A. N., & Sobenin, I. A. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867325666180320121137 · Cited by 22
Ohta, T., Nagashima, J., Sasai, H., & Ishii, N. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16234647 · Cited by 22
High density lipoprotein in atherosclerosis and coronary heart disease: Where do we stand today?
Zvintzou, E., Karampela, D. S., Vakka, A., Xepapadaki, E., Karavia, E. A., Hatziri, A., Giannopoulou, P. C., & Kypreos, K. E. (2021) · Vascular Pharmacology · doi:10.1016/j.vph.2021.106928 · Cited by 22
Wang, J., Shi, L., Zou, Y., Tang, J., Cai, J., Wei, Y., Qin, J., & Zhang, Z. (2018) · Aging · doi:10.18632/aging.101663 · Cited by 22
Gibson, C. M., Kazmi, S. H. A., Korjian, S., Chi, G., Phillips, A. T., Montazerin, S. M., Duffy, D., Zheng, B., Heise, M. A., Liss, C. L., et al. (2022) · Journal of Cardiovascular Pharmacology and Therapeutics · doi:10.1177/10742484221121507 · Cited by 21
Hayashi, K., Takayama, M., Abe, T., Kanda, T., Hirose, H., Shimizu-Hirota, R., Shiomi, E., Iwao, Y., & Itoh, H. (2017) · Journal of atherosclerosis and thrombosis · doi:10.5551/jat.38612 · Cited by 26
Melsom, T., Norvik, J. V., Enoksen, I. T., Stefansson, V. T. N., Rismo, R., Jenssen, T. G., Solbu, M. D., & Eriksen, B. O. (2021) · Kidney International Reports · doi:10.1016/j.ekir.2021.05.007 · Cited by 19
Carbamylated HDL and Mortality Outcomes in Type 2 Diabetes
Lui, D. T. W., Cheung, C., Lee, A. C. H., Wong, Y., Shiu, S. W. M., & Tan, K. C. B. (2021) · Diabetes Care · doi:10.2337/dc20-2186 · Cited by 19
Zvintzou, E., Xepapadaki, E., Skroubis, G., Mparnia, V., Giannatou, K., Benabdellah, K., & Kypreos, K. E. (2023) · Pharmaceuticals · doi:10.3390/ph16060855 · Cited by 22
Yu, S., Guo, X., Li, G. X., Yang, H., Zheng, L., & Sun, Y. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01331-6 · Cited by 18
Lorkowski, S. W., & Smith, J. D. (2022) · Biomedicines · doi:10.3390/biomedicines10010128 · Cited by 18
Metadata
- Authors
- Bowe, B., Xie, Y., Xian, H., Balasubramanian, S., Zayed, M. A., & Al-Aly, Z.
- Affiliations
- Clinical Epidemiology Center, Research and Education Service,
- Saint Louis University (US)
- Corresponding author
- Bowe, Benjamin
- Xie, Yan
- Xian, Hong
- Balasubramanian, Sumitra
- Zayed, Mohamed A.
- Venue
- Clinical Journal of the American Society of Nephrology
- Published
- 2016-08-11
- Volume
- 11
- Issue
- 10
- Pages
- 1784-1793
- ISSN
- 1555-9041 (ISSN-L)
- 1555-905X
- PMC
- PMC5053782
- OpenAlex
- W2512996508
- Cited by
- 213
- References
- 28
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 16 · 2023: 11 · 2022: 26 · 2021: 46 · 2020: 21 · 2019: 26 · 2018: 16 · 2017: 22 · 2016: 4
- FWCI
- 25.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Journal of the American Society of Nephrology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- HDL cholesterol, all-cause mortality, estimated glomerular filtration rate, kidney disease, veterans, U-shaped relationship, coronary artery disease, comorbidities, mortality risk, lipid-lowering therapy, cardiovascular risk stratification, mortality prediction model, dialysis, mortality risk reduction
- MeSH terms
- Aged, Coronary Artery Disease, Female, Glomerular Filtration Rate, Heart Failure, Humans, Kidney Diseases, Cholesterol, HDL, Longitudinal Studies, Male, Middle Aged, Mortality, Risk Factors, United States, Veterans, Comorbidity, Survival Rate, Proportional Hazards Models
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review