Pencina, Michael J.
59 papers on CoChatORCID 0000-0002-1968-2641
Most cited papers
- Verified
l -Methylfolate as Adjunctive Therapy for SSRI-Resistant Major Depression: Results of Two Randomized, Double-Blind, Parallel-Sequential Trials
Papakostas, G. I., Shelton, R. C., Zajecka, J. M., Etemad, B., Rickels, K., Clain, A., Baer, L., Dalton, E. D., Sacco, G. R., Schoenfeld, D., et al. (2012) · American Journal of Psychiatry
Treatment of Major DepressionFolate and B Vitamins Research
Cited by 275
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Association of smoking cessation and weight change with cardiovascular disease among adults with and without diabetes
Clair, C., Rigotti, N. A., Porneala, B., Fox, C. S., D’Agostino, R. B., Pencina, M. J., & Meigs, J. B. (2013) · JAMA
Smoking Behavior and CessationDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 255
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Lifetime Risk of Cardiovascular Disease Among Individuals With and Without Diabetes Stratified by Obesity Status in the Framingham Heart Study
Fox, C. S., Pencina, M. J., Wilson, P. W. F., Paynter, N. P., Vasan, R. S., & D’Agostino, R. B. (2008) · Diabetes Care
Diabetes, Cardiovascular Risks, and LipoproteinsCardiovascular Function and Risk Factors
Cited by 247
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Quantifying importance of major risk factors for coronary heart disease
Pencina, M. J., Navar, A. M., Wojdyla, D., Sanchez, R. J., Khan, I., Elassal, J., D’Agostino, R. B., Peterson, E. D., & Sniderman, A. D. (2019) · Circulation
Cardiovascular Health and Risk FactorsHealth Promotion and Cardiovascular Prevention
Cited by 247
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Assessing the incremental value of diagnostic and prognostic markers: a review and illustration
Steyerberg, E. W., Pencina, M. J., Lingsma, H. F., Kattan, M. W., Vickers, A. J., & Van Calster, B. (2012) · European Journal of Clinical Investigation
Statistical Methods in EpidemiologyStatistical Methods and Inference
Cited by 219
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Association Between Sitagliptin Use and Heart Failure Hospitalization and Related Outcomes in Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Clinical Trial
McGuire, D. K., Van de Werf, F., Armstrong, P. W., Standl, E., Koglin, J., Green, J. B., Bethel, M. A., Cornel, J. H., Lopes, R. D., Halvorsen, S., et al. (2016) · JAMA Cardiology
Diabetes Treatment and ManagementHeart Failure Treatment and Management
Cited by 217
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Endogenous sex hormones and cardiovascular disease incidence in men
Ärnlöv, J., Pencina, M. J., Amin, S., Nam, B.-H., Benjamin, E. J., Murabito, J. M., Wang, T. J., Knapp, P. E., D'Agostino, R. B., Bhasin, S., et al. (2006) · Annals of Internal Medicine
Hormonal and reproductive studiesMenopause: Health Impacts and Treatments
Cited by 217
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A Genetic Risk Score Is Associated With Incident Cardiovascular Disease and Coronary Artery Calcium: The Framingham Heart Study
Thanassoulis, G., Peloso, G. M., Pencina, M. J., Hoffmann, U., Fox, C. S., Cupples, L. A., Levy, D., D'Agostino, R. B., Hwang, S.-J., & O'Donnell, C. J. (2012) · Circulation: Cardiovascular Genetics
Genetic Associations and EpidemiologyNutrition, Genetics, and Disease
Cited by 211
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Association of parental heart failure with risk of heart failure in offspring
Lee, D. S., Pencina, M. J., Benjamin, E. J., Wang, T. J., Levy, D., O'Donnell, C. J., Nam, B.-H., Larson, M. G., D'Agostino, R. B., & Vasan, R. S. (2006) · New England Journal of Medicine
Cardiovascular Function and Risk FactorsHeart Failure Treatment and Management
Cited by 191
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External validation of AI models in health should be replaced with recurring local validation
Youssef, A., Pencina, M., Thakur, A., Zhu, T., Clifton, D., & Shah, N. H. (2023) · Nature Medicine
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 170
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Apolipoprotein B improves risk assessment of future coronary heart disease in the Framingham Heart Study beyond LDL-C and non-HDL-C
Pencina, M. J., D’Agostino, R. B., Zdrojewski, T., Williams, K., Thanassoulis, G., Furberg, C. D., Peterson, E. D., Vasan, R. S., & Sniderman, A. D. (2015) · European Journal of Preventive Cardiology
Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 164
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Free Testosterone Levels Are Associated with Mobility Limitation and Physical Performance in Community-Dwelling Men: The Framingham Offspring Study
Krasnoff, J. B., Basaria, S., Pencina, M. J., Jasuja, G. K., Vasan, R. S., Ulloor, J., Zhang, A., Coviello, A., Kelly-Hayes, M., D'Agostino, R. B., et al. (2010) · The Journal of Clinical Endocrinology & Metabolism
Hormonal and reproductive studiesNutrition and Health in Aging
Cited by 152
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A Double-Blind, Placebo-Controlled Study of Aripiprazole Adjunctive to Antidepressant Therapy among Depressed Outpatients with Inadequate Response to Prior Antidepressant Therapy (ADAPT-A Study)
Fava, M., Mischoulon, D., Iosifescu, D., Witte, J., Pencina, M., Flynn, M., Harper, L., Levy, M., Rickels, K., & Pollack, M. (2012) · Psychotherapy and Psychosomatics
Treatment of Major DepressionSchizophrenia research and treatment
Cited by 141
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Discordance among apoB, non-high-density lipoprotein cholesterol, and triglycerides: implications for cardiovascular prevention
Sniderman, A. D., Dufresne, L., Pencina, K. M., Bilgic, S., Thanassoulis, G., & Pencina, M. J. (2024) · European Heart Journal
Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 139
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A framework for the oversight and local deployment of safe and high-quality prediction models
Bedoya, A. D., Economou-Zavlanos, N. J., Goldstein, B. A., Young, A., Jelovsek, J. E., O’Brien, C., Parrish, A. B., Elengold, S., Lytle, K., Balu, S., et al. (2022) · Journal of the American Medical Informatics Association
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 119
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A Nationwide Network of Health AI Assurance Laboratories
Shah, N. H., Halamka, J. D., Saria, S., Pencina, M., Tazbaz, T., Tripathi, M., Callahan, A., Hildahl, H., & Anderson, B. (2024) · JAMA
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 114
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Trends in Diabetes Incidence: The Framingham Heart Study
Abraham, T. M., Pencina, K. M., Pencina, M. J., & Fox, C. S. (2015) · Diabetes Care
Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research
Cited by 110
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Separating the Mechanism-Based and Off-Target Actions of Cholesteryl Ester Transfer Protein Inhibitors With CETP Gene Polymorphisms
Sofat, R., Hingorani, A. D., Smeeth, L., Humphries, S. E., Talmud, P. J., Cooper, J., Shah, T., Sandhu, M. S., Ricketts, S. L., Boekholdt, S. M., et al. (2010) · Circulation
Lipoproteins and Cardiovascular HealthParaoxonase enzyme and polymorphisms
Cited by 104
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Statins decrease all-cause mortality only in CKD patients not requiring dialysis therapy--a meta-analysis of 11 randomized controlled trials involving 21,295 participants
Barylski, M., Nikfar, S., Mikhailidis, D. P., Toth, P. P., Salari, P., Ray, K. K., Pencina, M. J., Rizzo, M., Rysz, J., Abdollahi, M., et al. (2013) · Pharmacological Research
Lipoproteins and Cardiovascular HealthChronic Kidney Disease and Diabetes
Cited by 98
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Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review: Scoping review examines racial and ethnic bias in clinical algorithms
Cary, M. P., Zink, A., Wei, S., Olson, A., Yan, M., Senior, R., Bessias, S., Gadhoumi, K., Jean-Pierre, G., Wang, D., et al. (2023) · Health Affairs
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 94
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The Project Baseline Health Study: a step towards a broader mission to map human health
Arges, K., Assimes, T., Bajaj, V., Balu, S., Bashir, M. R., Beskow, L., Blanco, R., Califf, R., Campbell, P., Carin, L., et al. (2020) · npj Digital Medicine
Health, Environment, Cognitive AgingArtificial Intelligence in Healthcare and Education
Cited by 82
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A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies
Brautbar, A., Pompeii, L. A., Dehghan, A., Ngwa, J. S., Nambi, V., Virani, S. S., Rivadeneira, F., Uitterlinden, A. G., Hofman, A., Witteman, J. C. M., et al. (2012) · Atherosclerosis
Genetic Associations and EpidemiologyNutrition, Genetics, and Disease
Cited by 71
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Dietary Quality Predicts Adult Weight Gain: Findings from the Framingham Offspring Study
Quatromoni, P. A., Pencina, M., Cobain, M. R., Jacques, P. F., & D'Agostino, R. B. (2006) · Obesity
Nutritional Studies and DietObesity, Physical Activity, Diet
Cited by 66
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Predicted long-term cardiovascular risk among young adults in the national longitudinal study of adolescent health
Clark, C. J., Alonso, A., Spencer, R. A., Pencina, M., Williams, K., & Everson-Rose, S. A. (2014) · American Journal of Public Health
Cardiovascular Health and Risk FactorsHealth Promotion and Cardiovascular Prevention
Cited by 64
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