Pencina, Michael J.

General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study

D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 7,491

Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond

Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 6,493

Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures

Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J., & Kattan, M. W. (2010) · Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 5,170

Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes

Green, J. B., Bethel, M. A., Armstrong, P. W., Buse, J. B., Engel, S. S., Garg, J., Josse, R., Kaufman, K. D., Koglin, J., Korn, S., et al. (2015) · New England Journal of Medicine

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 2,577

Arterial Stiffness and Cardiovascular Events: The Framingham Heart Study

Mitchell, G. F., Hwang, S.-J., Vasan, R. S., Larson, M. G., Pencina, M. J., Hamburg, N. M., Vita, J. A., Levy, D., & Benjamin, E. J. (2010) · Circulation

Cardiovascular Health and Disease PreventionCardiovascular Function and Risk Factors

Cited by 2,225

Cardiovascular-kidney-metabolic health: a presidential advisory from the American Heart Association

Ndumele, C. E., Rangaswami, J., Chow, S. L., Neeland, I. J., Tuttle, K. R., Khan, S. S., Coresh, J., Mathew, R. O., Baker-Smith, C. M., Carnethon, M. R., et al. (2023) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsChronic Kidney Disease and Diabetes

Cited by 2,208

On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data

Uno, H., Cai, T., Pencina, M. J., D'Agostino, R. B., & Wei, L. J. (2011) · Statistics in Medicine

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 1,535

A synopsis of the evidence for the science and clinical management of cardiovascular-kidney-metabolic (CKM) syndrome: a scientific statement from the American Heart Association

Ndumele, C. E., Neeland, I. J., Tuttle, K. R., Chow, S. L., Mathew, R. O., Khan, S. S., Coresh, J., Baker-Smith, C. M., Carnethon, M. R., Després, J.-P., et al. (2023) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsChronic Kidney Disease and Diabetes

Cited by 1,405

One-year cardiovascular event rates in outpatients with atherothrombosis

Steg, P. G., Bhatt, D. L., Wilson, P. W. F., D’Agostino, R., Ohman, E. M., Röther, J., Liau, C.-S., Hirsch, A. T., Mas, J.-L., Ikeda, Y., et al. (2007) · JAMA

Lipoproteins and Cardiovascular HealthAntiplatelet Therapy and Cardiovascular Diseases

Cited by 1,382

Development and validation of the American Heart Association’s PREVENT equations

Khan, S. S., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Surapaneni, A., Blaha, M. J., Carson, A. P., Chang, A. R., Ciemins, E., et al. (2024) · Circulation

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 1,234

Effect of Linagliptin vs Placebo on Major Cardiovascular Events in Adults With Type 2 Diabetes and High Cardiovascular and Renal Risk: The CARMELINA Randomized Clinical Trial

Rosenstock, J., Perkovic, V., Johansen, O. E., Cooper, M. E., Kahn, S. E., Marx, N., Alexander, J. H., Pencina, M., Toto, R. D., Wanner, C., et al. (2019) · JAMA

Diabetes Treatment and ManagementChronic Kidney Disease and Diabetes

Cited by 1,084

Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review

Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. P. A. (2017) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 936

A calibration hierarchy for risk models was defined: from utopia to empirical data

Van Calster, B., Nieboer, D., Vergouwe, Y., De Cock, B., Pencina, M. J., & Steyerberg, E. W. (2016) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 910

Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement from the American Heart Association

Khan, S. S., Coresh, J., Pencina, M. J., Ndumele, C. E., Rangaswami, J., Chow, S. L., Palaniappan, L. P., Sperling, L. S., Virani, S. S., Ho, J. E., et al. (2023) · Circulation

Health Promotion and Cardiovascular PreventionDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 797

Increasing Cardiovascular Disease Burden Due to Diabetes Mellitus: The Framingham Heart Study

Fox, C. S., Coady, S., Sorlie, P. D., D’Agostino, R. B., Pencina, M. J., Vasan, R. S., Meigs, J. B., Levy, D., & Savage, P. J. (2007) · Circulation

Diabetes, Cardiovascular Risks, and LipoproteinsHealthcare Systems and Public Health

Cited by 656

Clinical utility of different lipid measures for prediction of coronary heart disease in men and women

Ingelsson, E., Schaefer, E. J., Contois, J. H., McNamara, J. R., Sullivan, L., Keyes, M. J., Pencina, M. J., Schoonmaker, C., Wilson, P. W. F., D’Agostino, R. B., et al. (2007) · JAMA

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 608

Net Reclassification Improvement: Computation, Interpretation, and Controversies: A Literature Review and Clinician's Guide

Leening, M. J. G., Vedder, M. M., Witteman, J. C. M., Pencina, M. J., & Steyerberg, E. W. (2014) · Annals of Internal Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 594

Apolipoprotein B Particles and Cardiovascular Disease: A Narrative Review

Sniderman, A. D., Thanassoulis, G., Glavinovic, T., Navar, A. M., Pencina, M., Catapano, A., & Ference, B. A. (2019) · JAMA Cardiology

Lipoproteins and Cardiovascular HealthCholesterol and Lipid Metabolism

Cited by 593

Interpreting Incremental Value of Markers Added to Risk Prediction Models

Pencina, M. J., D'Agostino, R. B., Pencina, K. M., Janssens, A. C. J. W., & Greenland, P. (2012) · American Journal of Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 506

The Predictive Approaches to Treatment effect Heterogeneity (PATH) statement

Kent, D. M., Paulus, J. K., van Klaveren, D., D'Agostino, R., Goodman, S., Hayward, R., Ioannidis, J. P. A., Patrick-Lake, B., Morton, S., Pencina, M., et al. (2020) · Annals of Internal Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 469

Reference Ranges for Testosterone in Men Generated Using Liquid Chromatography Tandem Mass Spectrometry in a Community-Based Sample of Healthy Nonobese Young Men in the Framingham Heart Study and Applied to Three Geographically Distinct Cohorts

Bhasin, S., Pencina, M., Jasuja, G. K., Travison, T. G., Coviello, A., Orwoll, E., Wang, P. Y., Nielson, C., Wu, F., Tajar, A., et al. (2011) · The Journal of Clinical Endocrinology & Metabolism

Hormonal and reproductive studiesClinical Laboratory Practices and Quality Control

Cited by 355

Association Between Familial Atrial Fibrillation and Risk of New-Onset Atrial Fibrillation

Lubitz, S. A., Yin, X., Fontes, J. D., Magnani, J. W., Rienstra, M., Pai, M., Villalon, M. L., Vasan, R. S., Pencina, M. J., Levy, D., et al. (2010) · JAMA

Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmias

Cited by 313

Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease

Jones, W. S., Mulder, H., Wruck, L. M., Pencina, M. J., Kripalani, S., Muñoz, D., Crenshaw, D. L., Effron, M. B., Re, R. N., Gupta, K., et al. (2021) · New England Journal of Medicine

Antiplatelet Therapy and Cardiovascular DiseasesAcute Myocardial Infarction Research

Cited by 307

C-Reactive Protein and Reclassification of Cardiovascular Risk in the Framingham Heart Study

Wilson, P. W. F., Pencina, M., Jacques, P., Selhub, J., D'Agostino, R., & O'Donnell, C. J. (2008) · Circulation: Cardiovascular Quality and Outcomes

Lipoproteins and Cardiovascular HealthInflammatory Biomarkers in Disease Prognosis

Cited by 299