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Association Between Baseline LDL-C Level and Total and Cardiovascular Mortality After LDL-C Lowering: A Systematic Review and Meta-analysis
Open accessAbstract
Importance: Effects on specific fatal and nonfatal end points appear to vary for low-density lipoprotein cholesterol (LDL-C)-lowering drug trials. Objective: To evaluate whether baseline LDL-C level is associated with total and cardiovascular mortality risk reductions. Data Sourcesand Study Selection: Electronic databases (Cochrane, MEDLINE, EMBASE, TCTMD, ClinicalTrials.gov, major congress proceedings) were searched through February 2, 2018, to identify randomized clinical trials of statins, ezetimibe, and PCSK9-inhibiting monoclonal antibodies. Data Extraction and Synthesis: Two investigators abstracted data and appraised risks of bias. Intervention groups were categorized as "more intensive" (more potent pharmacologic intervention) or "less intensive" (less potent, placebo, or control group). Main Outcomes and Measures: The coprimary end points were total mortality and cardiovascular mortality. Random-effects meta-regression and meta-analyses evaluated associations between baseline LDL-C level and reductions in mortality end points and secondary end points including major adverse cardiac events (MACE). Results: In 34 trials, 136 299 patients received more intensive and 133 989 received less intensive LDL-C lowering. All-cause mortality was lower for more vs less intensive therapy (7.08% vs 7.70%; rate ratio [RR], 0.92 [95% CI, 0.88 to 0.96]), but varied by baseline LDL-C level. Meta-regression showed more intensive LDL-C lowering was associated with greater reductions in all-cause mortality with higher baseline LDL-C levels (change in RRs per 40-mg/dL increase in baseline LDL-C, 0.91 [95% CI, 0.86 to 0.96]; P = .001; absolute risk difference [ARD], -1.05 incident cases per 1000 person-years [95% CI, -1.59 to -0.51]), but only when baseline LDL-C levels were 100 mg/dL or greater (P < .001 for interaction) in a meta-analysis. Cardiovascular mortality was lower for more vs less intensive therapy (3.48% vs 4.07%; RR, 0.84 [95% CI, 0.79 to 0.89]) but varied by baseline LDL-C level. Meta-regression showed more intensive LDL-C lowering was associated with a greater reduction in cardiovascular mortality with higher baseline LDL-C levels (change in RRs per 40-mg/dL increase in baseline LDL-C, 0.86 [95% CI, 0.80 to 0.94]; P < .001; ARD, -1.0 incident cases per 1000 person-years [95% CI, -1.51 to -0.45]), but only when baseline LDL-C levels were 100 mg/dL or greater (P < .001 for interaction) in a meta-analysis. Trials with baseline LDL-C levels of 160 mg/dL or greater had the greatest reduction in all-cause mortality (RR, 0.72 [95% CI, 0.62 to 0.84]; P < .001; 4.3 fewer deaths per 1000 person-years) in a meta-analysis. More intensive LDL-C lowering was also associated with progressively greater risk reductions with higher baseline LDL-C level for myocardial infarction, revascularization, and MACE. Conclusions and Relevance: In these meta-analyses and meta-regressions, more intensive compared with less intensive LDL-C lowering was associated with a greater reduction in risk of total and cardiovascular mortality in trials of patients with higher baseline LDL-C levels. This association was not present when baseline LDL-C level was less than 100 mg/dL, suggesting that the greatest benefit from LDL-C-lowering therapy may occur for patients with higher baseline LDL-C levels.
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“Studies have shown that dyslipidemia, particularly elevated low-density lipoprotein cholesterol (LDL-C), is an independent risk factor for CHD (3–5).”
From Remnant cholesterol, lipid ratios, and the severity of coronary artery lesions: a retrospective cohort study in patients with coronary heart disease (2025) · cites this paper as [4]
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“Similarly, a recent meta-analysis showed that intensive lowering of LDL cholesterol (primarily with the use of statins) resulted in a mortality benefit that was observed only among patients with a baseline LDL cholesterol level of 100 mg or more per deciliter. 20”
From Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome (2018) · cites this paper as [20]
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575
Ahmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782
OLSSON, A. G., McMurray, J. J. V., Thorgeirsson, G., Spaulding, C. M., Slattery, J., Pyörälà, K., Færgeman, O., Wright, R. S., Berg, K. M., Wilhelmsen, L., et al. (1994) · The Lancet · Cited by 8,467
Prevention of Coronary Heart Disease with Pravastatin in Men with Hypercholesterolemia
Shepherd, J., Cobbe, S. M., Ford, I., Isles, C. G., Lorimer, A. R., Macfarlane, P. W., McKillop, J. H., & Packard, C. J. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511163332001 · Cited by 7,449
Sacks, F. M., Pfeffer, M. A., Moye, L. A., Rouleau, J. L., Rutherford, J. D., Cole, T. G., Brown, L., Warnica, J. W., Arnold, J. M. O., Wun, C.-C., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199610033351401 · Cited by 7,439
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437738.63853.7a · Cited by 7,081
Self-citationRosuvastatin to Prevent Vascular Events in Men and Women with Elevated C-Reactive Protein
Ridker, P. M., Danielson, E., Fonseca, F. A. H., Genest, J., Gotto, A. M., Kastelein, J. J. P., Koenig, W., Libby, P., Lorenzatti, A. J., MacFadyen, J. G., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0807646 · Cited by 6,674
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- TiceJA; Institute for Clincal and Economic Review (ICER). Evolocumab for treatment of high cholesterol: clinical effectiveness: new evidence update. Institute for Clincal and Economic Review website. https://icer-review.org/material/pcks9-inhibitors-neu/. June 13, 2017. Accessed March 16, 2018.
Cited by
Sorted by citations
Items 301–400 of 549
Hsiao, C.-H., Hsu, B., Lu, C., & Wang, J. (2023) · Tzu Chi Medical Journal · doi:10.4103/tcmj.tcmj_30_23 · Cited by 6
Los, J., Mensink, F. B., Mohammadnia, N., Opstal, T. S. J., Damman, P., Volleberg, R. H. J. A., Peeters, D. A. M., van Royen, N., García‐García, H. M., Cornel, J. H., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1352025 · Cited by 5
Perakakis, N., Funk, A. M., Kolb, T., Jonas, S., Hellerhoff, I., Tam, F. I., Bornstein, S. R., Chavakis, T., Mirtschink, P., & Ehrlich, S. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.01.014 · Cited by 5
National Trends in Statin Use in Lithuania from 2010 to 2021
Makarevičius, G., Rinkūnienė, E., & Badarienė, J. (2022) · Medicina · doi:10.3390/medicina59010037 · Cited by 5
Hyun, M. H., Lee, Y.-C., Choi, B. G., Na, J. O., Choi, C. U., Kim, J. W., Kim, E. J., Rha, S., Park, C. G., Lee, E. M., et al. (2019) · Cardiovascular Therapeutics · doi:10.1155/2019/3824823 · Cited by 6
Hyun, M. H., Jang, J. W., Choi, B. G., Na, J. O., Choi, C. U., Kim, J. W., Kim, E. J., Rha, S., Park, C. G., Lee, E. M., et al. (2019) · Medicine · doi:10.1097/md.0000000000018510 · Cited by 5
Chen, L., Chen, Q., Zhong, J., Ye, Z., Ye, M., Yan, Y., Chen, L., & Luo, Y. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.679599 · Cited by 5
Sánchez‐Bacaicoa, C., Galán, J., Guijarro, C., Rico‐Martín, S., Monréal, M., García, J. F. C., Aguilar‐Cortés, E., Muñoz-Torrero, J. F. S., & for FRENA Investigators (2021) · European Journal of Clinical Investigation · doi:10.1111/eci.13732 · Cited by 5
Kanenawa, K., Yamaji, K., Morimoto, T., Yamamoto, K., Domei, T., Hyodo, M., Shiomi, H., Furukawa, Y., Nakagawa, Y., Kadota, K., et al. (2024) · Journal of Cardiology · doi:10.1016/j.jjcc.2024.05.011 · Cited by 4
Reed, S. D., Sutphin, J., Gonzalez, J. M., Wallace, M. J., Stephenson, J. J., Electricwala, B., Bosworth, H. B., & Pagidipati, N. (2025) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.124.011804 · Cited by 4
Carelse, A., Rossouw, H. M., Steyn, N., Martins, J., & Pillay, T. S. (2023) · Journal of Clinical Pathology · doi:10.1136/jcp-2023-208916 · Cited by 4
Volkova, A., Shulgin, B., Helmlinger, G., Peskov, K. V., & Sokolov, V. V. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1242845 · Cited by 4
Fang, Y., Wu, H., Liang, X., Li, T., Jia, R., Dong, Y., Zheng, Y., Wang, Q., & Li, L. (2024) · Cardiovascular Diagnosis and Therapy · doi:10.21037/cdt-24-146 · Cited by 4
Time to benefit of intensive lipid lowering therapy in individuals with cardiovascular disease
Li, L., Huang, C., Liu, W., Li, J., Geru, A., Chen, X., Jiang, S., Fang, Y., Foo, R., Chan, M. Y., et al. (2024) · Journal of clinical lipidology · doi:10.1016/j.jacl.2024.09.014 · Cited by 5
Hu, B., & Hua, J. (2025) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s515542 · Cited by 4
Statin Intolerance: An Overview for Clinicians
Surma, S., Lewek, J., Penson, P. E., & Banach, M. (2023) · Contemporary diabetes · doi:10.1007/978-3-031-26681-2_23 · Cited by 4
Choi, H., Choi, J.-H., Jang, Y., Lee, Y., Kang, M.-H., Kwon, H.-S., Kim, S., & Kwon, J. (2024) · Applied Sciences · doi:10.3390/app14156412 · Cited by 7
Liu, L., Deng, Y., Li, L., Yang, X., Yin, Z., & Lai, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0310696 · Cited by 4
Ye, Y., Markussen, B., Engelsen, S. B., & Khakimov, B. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109379 · Cited by 5
Association of LDL ‐C/ HDL ‐C Ratio With Hyperuricemia: A National Cohort Study
Zhang, Y., Liu, X., Luo, D., Chen, B., Lai, C., He, C., Luo, Y., Ding, H., & Li, S. (2025) · Clinical and Translational Science · doi:10.1111/cts.70122 · Cited by 4
Low Cholesterol Levels in Younger Heart Failure Patients May Predict Unfavorable Outcomes
Charach, L., Grosskopf, I., Galin, L., Guterman, I., Karniel, E., & Charach, G. (2023) · Medicina · doi:10.3390/medicina59071314 · Cited by 4
Lin, Z., Chen, Y., Xiao, Z., Xu, W., Chen, G., Huang, C., Feng, W., Xie, Z., Liao, W., Liao, Y., et al. (2023) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2023.06.003 · Cited by 4
Jain, M., Sawant, R., Panchal, H., Anand, S. S., Jena, A. B., Gupta, R., Kumar, K., Jambunathan, R., Modi, S., Mullasari, A. S., et al. (2023) · International Journal of Cardiology Cardiovascular Risk and Prevention · doi:10.1016/j.ijcrp.2023.200210 · Cited by 4
Farooque, S., Mitra, M., & Das, P. K. (2023) · Physical Education Theory and Methodology · doi:10.17309/tmfv.2023.6.12 · Cited by 4
Zhu, M., Li, Y. H., Wang, W., Liu, Y., Tong, T., & Liu, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-64430-9 · Cited by 5
Zheng, W., Zhang, J., Jiang, Y. H., Wang, S., & Yang, Z. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13123624 · Cited by 4
Yang, Z., Qi, Y., Sun, J., Liu, J., Wang, M., Deng, Q., Hao, Y., Yang, N., Ji, Z., Zhou, X., et al. (2024) · American Journal of Epidemiology · doi:10.1093/aje/kwae318 · Cited by 4
LDL-C Targets in Secondary Prevention: How Low Should We Go?
Bayoumy, K., Gaber, M., Mani, P., Puri, R., Donnellan, E., Cho, L., Clark, D., Martin, S. S., & Elshazly, M. B. (2019) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-019-0619-8 · Cited by 4
Investigational drugs in development for hypertriglyceridemia: a coming-of-age story
Rhainds, D., Brodeur, M. R., & Tardif, J. (2019) · Expert Opinion on Investigational Drugs · doi:10.1080/13543784.2019.1696772 · Cited by 4
Long-Term Outcomes Following Coronary Revascularizations in Diabetes Mellitus
Navarese, E. P., Brouwer, M. A., & Kubica, J. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.09.576 · Cited by 4
Self-citationZhang, Z., Liu, X., Guo, C., Zhang, X., Zhang, Y., Deng, N., Lai, G., Yang, A., Huang, Y., Dang, S., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4122079 · Cited by 4
Cholesterol Levels and Cardiovascular Outcomes Following Statin Initiation for Primary Prevention
Thompson, W., Jeong, I. J., Basque, S. R., Abdel-Qadir, H. M., Austin, P. C., Ko, D. T., Famiyeh, I., Chu, A., Fang, J., Odutayo, A., et al. (2025) · JACC Advances · doi:10.1016/j.jacadv.2025.101864 · Cited by 3
Wang, Q., Liu, Z., Zhou, W., Wu, G., Hu, K., Su, H., Yan, J., & Chen, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-24832-9 · Cited by 4
Qu, C., Zhao, Q., Cao, W., Dai, Z., Luo, X., & Zhang, R. (2022) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm2309294 · Cited by 3
García-Gil, M., Alves‐Cabratosa, L., Cunillera, O., Blanch, J., Martí‐Lluch, R., Ponjoan, A., Ribas‐Aulinas, F., Tornabell‐Noguera, È., Zacarías‐Pons, L., Domínguez‐Armengol, G., et al. (2024) · European Journal of Clinical Investigation · doi:10.1111/eci.14258 · Cited by 3
Guo, H., Li, C., Wu, H., Ma, M., Zhu, R., Wang, M., Yang, B., Pan, N., Zhu, Y., & Wang, J. (2024) · Thrombosis Journal · doi:10.1186/s12959-024-00635-2 · Cited by 3
Guo, S., Wang, C., Hu, T., Lan, L., Ge, Z., Huang, J., Chen, S., Wu, S., & Xue, H. (2025) · Clinical Hypertension · doi:10.5646/ch.2025.31.e7 · Cited by 3
Differential lipid impact on mortality in patients undergoing CABG versus PCI
Yuan, X., Zhang, L., Li, X., Chen, K., Chu, Q., Chen, L., & Hu, S. (2025) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2025.119141 · Cited by 3
Tan, J., Zhu, H., Zeng, Y., Li, J., Zhao, Y., Xiao, X., & Li, M. (2025) · Scientific Reports · doi:10.1038/s41598-024-84686-5 · Cited by 3
Mak, Y. H., Chua, F., Koh, X. H., Tan, V. H., Lee, Z. H., Lam, A., Tong, K. L., Yeo, C., Chow, W., & Loh, W. J. (2025) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2024-172 · Cited by 3
Ma, H., Ma, W., Liu, Y., Chen, L., & Ding, P. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm26980 · Cited by 3
van Bruggen, F. H., & Diamond, D. M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14103569 · Cited by 3
Wan, K., Wang, R., Yan, H., Cheng, W., Ma, F., Jin, Y., & Wang, R. (2025) · BMC Public Health · doi:10.1186/s12889-025-24568-1 · Cited by 3
McKay, T. B., Graves, O. K., Mitchell, M., Mueller, A., Simon, C., Patel, P. H., Turco, I., Bertsch, J., Albanese, M. L., Gleeson, E., et al. (2025) · Journal of Cardiothoracic and Vascular Anesthesia · doi:10.1053/j.jvca.2025.09.235 · Cited by 3
Atherosclerosis of the Carotid Artery
Jansen, M. F., Lutgens, E., & Daemen, M. J. A. P. (2019) · Springer eBooks · doi:10.1007/978-3-030-25249-6_4 · Cited by 3
Expert group from the Spanish Arteriosclerosis Society, Pedro‐Botet, J., López‐Miranda, J., Badimón, L., Civeira, F., Guijarro, C., Millán, J., Mostaza, J. M., Pintó, X., Valdivielso, P., et al. (2019) · American Journal of Cardiovascular Drugs · doi:10.1007/s40256-019-00376-y · Cited by 3
Shehab, A., & Bhagavathula, A. S. (2020) · Heart Views · doi:10.4103/heartviews.heartviews_115_19 · Cited by 3
Blood-Based and Imaging Biomarkers of Atherosclerosis
Ali, K., Lang, C. C., Huang, J. T. J., & Choy, A. M. (2022) · Cardiology in Review · doi:10.1097/crd.0000000000000442 · Cited by 3
Citarella, A., Cammarota, S., Bernardi, F. F., Caliendo, L., D’Andrea, A., Fimiani, B., Fogliasecca, M., Pacella, D., Pagnotta, R., Trama, U., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11154344 · Cited by 3
Augusto, C. T., Parada, M. D. L. P. S., Rossi, M. M., Signorini, F. J., Fonseca, I. B., & Báez, M. D. C. (2021) · Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry · doi:10.2174/1871523022666230223090714 · Cited by 3
Rezaee, M., Fallahzadeh, A., Sheikhy, A., Ajam, A., Sadeghian, S., Bsc, M. P., Shirzad, M., Mansourian, S., Bagheri, J., & Hosseini, K. (2023) · Journal of Cardiothoracic Surgery · doi:10.1186/s13019-023-02333-y · Cited by 4
Jiang, K., Pu, X., Liu, Y., Xu, Y., Huang, F., & Chen, M. (2023) · Acta cardiologica. Supplementum · doi:10.1080/00015385.2023.2243127 · Cited by 3
Pamporis, K., Karakasis, P., Simantiris, S., Sagris, Μ., Bougioukas, K. I., Fragakis, N., & Tousoulis, D. M. (2023) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2023.11.003 · Cited by 3
Shi, L., Ye, Z., Gu, Q., & Li, Y. (2023) · Cellular and Molecular Biology · doi:10.14715/cmb/2023.69.12.41 · Cited by 4
Lin, T., Zhao, Y., Yang, Q., Wang, W., Jiang, X., & Qiu, Y. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02160-7 · Cited by 3
Johansson, K. S., Jimenez‐Solem, E., Petersen, T. S., & Christensen, M. (2024) · Diabetes Care · doi:10.2337/dc24-0619 · Cited by 4
Liang, G., Ma, J., Zhang, W., Gu, X., Zhang, Q., Liu, A., & Qing, X. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1469848 · Cited by 3
Yu, X., Yuan, Y., Dong, X., Xier, Z., Ma, L., Peng, H., Li, G., & Yang, Y. (2025) · Annals of Medicine · doi:10.1080/07853890.2025.2529565 · Cited by 3
Werba, J. P., Vigo, L., Veglia, F., Marenzi, G., Tremoli, E., & Baldassarre, D. (2019) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.1436 · Cited by 3
Momo, K., Yasu, T., Yasui, H., & Kuroda, S. (2019) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.12847 · Cited by 3
Kwon, G. E., Hyun, M. H., Byun, D. J., Paeng, K., Seo, H. S., & Choi, M. H. (2021) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2021.105940 · Cited by 3
Cholesterol transport in blood, lipoproteins, and cholesterol metabolism
Auley, M. T. M., & Morgan, A. E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85857-1.00025-0 · Cited by 3
Blacher, J. (2018) · La Presse Médicale · doi:10.1016/j.lpm.2018.05.011 · Cited by 3
Life‐Saving Medications: The Urgent Need for Guideline Adherence and Patient Acceptance
Braun, L. T. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.012348 · Cited by 3
Wu, T., Chou, C., Liu, C.-C., Chen, C.-F., Cheng, C.-F., & Wang, L. (2025) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2025.104023 · Cited by 3
Mahmoodian, S., Khalili, D., Azizi, F., Haddizadeh, N., Nouri, B., & Aghaei, A. (2025) · BMC Public Health · doi:10.1186/s12889-025-23254-6 · Cited by 5
Jiang, Q., Wu, J., Yu, Y., Hao, X., Long, P., Liu, K., Liu, S., Peng, R., Yu, K., Zeng, R., et al. (2025) · Engineering · doi:10.1016/j.eng.2025.06.032 · Cited by 2
Zhang, M., Jiang, Y., Lu, P., Shen, Z., Gao, X. Y., & Wang, X. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.4c11879 · Cited by 2
Ngina, D. M., Doehner, W., Ntaios, G., Nartey, Y., & Akyea, R. K. (2025) · Global Cardiology · doi:10.4081/cardio.2025.85 · Cited by 2
Rai, H., Coughlan, J. J., O’Callaghan, D., Sheahan, R. G., Murphy, R. T., Burke, D., McFadden, E. P., Nolan, D., Colleran, R., Hazeez-Agbaje, A., et al. (2025) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-025-04096-y · Cited by 2
Patel, H., Stoots, S. A., Feldt, J. V., & Baker, J. F. (2025) · The Journal of Rheumatology · doi:10.3899/jrheum.2025-0465 · Cited by 2
Cho, K. H., Yang, J. H., Lee, S. Y., Shin, M., Oh, S. K., Kim, M. C., Sim, D. S., Hong, Y. J., Kim, J. H., Ahn, Y., et al. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1653447 · Cited by 2
Cho, J. H., Ahn, J., Kang, M. G., Bae, J. S., Koh, J.-S., Jung, M. K., Kim, S., Gorog, D. A., Tantry, U. S., Gurbel, P. A., et al. (2026) · JACC Advances · doi:10.1016/j.jacadv.2025.102498 · Cited by 2
Self-citationCorsetti, G., & Pasini, E. (2026) · Nutrients · doi:10.3390/nu18050722 · Cited by 3
Mortality score in chronic coronary syndrome: prediction model from the ISCHEMIA trial
Navarese, E. P., Talanas, G., Kereiakes, D. J., Henry, T. D., Gąsior, M., Kalarus, Z. F., Umińska, J. M., Burzotta, F., Buffon, A., BELLE, E. V., et al. (2026) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwag116 · Cited by 2
Self-citationZhao, J., Su, L., Li, W., Lam, S. M., Yan, C., Zhou, T., Deng, Y., Dong, Y., Zhou, Y., Shui, G., et al. (2026) · Redox Biology · doi:10.1016/j.redox.2026.104134 · Cited by 2
Jin, S., Nie, X., Li, Y., Yuan, J., Cui, Y., & Zhao, L. (2021) · Clinical Therapeutics · doi:10.1016/j.clinthera.2021.04.019 · Cited by 2
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Ye, Y., Fan, J., Chen, Z., Li, X., Wu, M., Liu, W., Zhou, S., Rasmussen, M. A., Engelsen, S. B., Chen, Y., et al. (2023) · Metabolites · doi:10.3390/metabo13020273 · Cited by 2
Zeng, C., Zhan, Q., Lv, L., Chen, Y., & Zhan, X. (2023) · International Urology and Nephrology · doi:10.1007/s11255-023-03514-3 · Cited by 2
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Wang, H., Mao, Y.-C., Qi, S.-F., Xu, X., Zhang, Z., Geng, C., Song, K., & Tian, Q. (2024) · American Journal of Cardiovascular Drugs · doi:10.1007/s40256-024-00651-7 · Cited by 2
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Feng, Y.-S., Sun, Z.-Y., Jiang, F., Ma, P., Liu, X.-R., Meng, Y., Liao, C., & Sun, G. (2024) · International Journal of General Medicine · doi:10.2147/ijgm.s468768 · Cited by 2
Shen, H., Tseng, C.-H., Lin, Y.-H., Yeh, H., Tsai, H., Hong, S., Li, T., Su, C., Perng, D., Yang, Y., et al. (2025) · Therapeutic Advances in Respiratory Disease · doi:10.1177/17534666251320875 · Cited by 2
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Khedri, M., Szummer, K. E., Lundman, P., Jernberg, T., Desta, L., Lindahl, B., Erlinge, D., Jacobson, S. H., & Spaak, J. (2023) · Journal of Cardiovascular Pharmacology · doi:10.1097/fjc.0000000000001402 · Cited by 2
Li, P., Chen, J., Li, N., You, X., Shen, L., & Zhou, N. (2023) · Cardiology Discovery · doi:10.1097/cd9.0000000000000092 · Cited by 2
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Ratnasari, P. M. D., Kurnianta, P. D. M., & Prasetya, A. A. N. P. R. (2020) · Majalah Farmasi dan Farmakologi · doi:10.20956/mff.v24i2.10384 · Cited by 2
Zhou, J., Chin, C. T., Huang, X., Guo, N., Wu, Y., Yu, B., Qiao, S., Chen, J., Han, Y., Ge, J., et al. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2020.11.015 · Cited by 2
Feldman, D. I., Michos, E. D., Stone, N. J., Gluckman, T. J., Cainzos‐Achirica, M., Virani, S. S., & Blumenthal, R. S. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100117 · Cited by 2
Metadata
- Authors
- Navarese, E. P., Robinson, J. G., Kowalewski, M., Kolodziejczak, M., Andreotti, F., Bliden, K., Tantry, U., Kubica, J., Raggi, P., & Gurbel, P. A.
- Affiliations
- Inova Health System (US)
- University of Iowa (US)
- Antoni Jurasz University Hospital (PL)
- Systematic Investigation and Research on Interventions and Outcomes (SIRIO) MEDICINE Cardiovascular Research Network
- Università Cattolica del Sacro Cuore (IT)
- Nicolaus Copernicus University (PL)
- University of Alberta (CA)
- Corresponding author
- Robinson, Jennifer G.
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2018-04-17
- Volume
- 319
- Issue
- 15
- Pages
- 1566
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC5933331
- OpenAlex
- W2800876320
- Semantic Scholar
- e998030b0bef031f54619a07cde9f01df4ce9807
- Cited by
- 549
- References
- 58
- Citations by year
- 2026: 36 · 2025: 74 · 2024: 81 · 2023: 70 · 2022: 56 · 2021: 76 · 2020: 62 · 2019: 68 · 2018: 26
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Keywords
- LDL cholesterol, LDL cholesterol lowering, statins, ezetimibe, PCSK9 inhibitors, all-cause mortality, cardiovascular mortality, major adverse cardiac events, lipid-lowering therapy, dose-response relationship, treatment intensity, risk stratification, randomized controlled trials, meta-regression, risk of bias assessment, risk difference, relative risk, number needed to harm
- MeSH terms
- Ezetimibe, Proprotein Convertase 9, PCSK9 Inhibitors, Antibodies, Monoclonal, Anticholesteremic Agents, Cardiovascular Diseases, Humans, Cholesterol, LDL, Mortality, Regression Analysis, Risk, Confounding Factors, Epidemiologic, Hydroxymethylglutaryl-CoA Reductase Inhibitors
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