Kent, David M.

Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal

Kent, D. M., Rothwell, P. M., Ioannidis, J. P., Altman, D. G., & Hayward, R. A. (2010) · Trials

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 504

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

Three simple rules to ensure reasonably credible subgroup analyses

Burke, J. F., Sussman, J. B., Kent, D. M., & Hayward, R. A. (2015) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 312

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

Paulus, J. K., & Kent, D. M. (2020) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 274

Progression risk, urinary protein excretion, and treatment effects of angiotensin-converting enzyme inhibitors in nondiabetic kidney disease

Kent, D. M., Jafar, T. H., Hayward, R. A., Tighiouart, H., Landa, M., de Jong, P., de Zeeuw, D., Remuzzi, G., Kamper, A.-L., & Levey, A. S. (2007) · Journal of the American Society of Nephrology

Chronic Kidney Disease and DiabetesRenal Diseases and Glomerulopathies

Cited by 162

A Framework for Crafting Clinical Practice Guidelines That Are Relevant to the Care and Management of People with Multimorbidity

Uhlig, K., Leff, B., Kent, D., Dy, S., Brunnhuber, K., Burgers, J. S., Greenfield, S., Guyatt, G., High, K., Leipzig, R., et al. (2014) · Journal of General Internal Medicine

Chronic Disease Management StrategiesClinical practice guidelines implementation

Cited by 158

Improving diabetes prevention with benefit based tailored treatment: risk based reanalysis of Diabetes Prevention Program

Sussman, J. B., Kent, D. M., Nelson, J. P., & Hayward, R. A. (2015) · BMJ

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Treatment and Management

Cited by 143

External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature

Wessler, B. S., Nelson, J., Park, J. G., McGinnes, H., Gulati, G., Brazil, R., Van Calster, B., van Klaveren, D., Venema, E., Steyerberg, E., et al. (2021) · Circulation: Cardiovascular Quality and Outcomes

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 83

Race and Ethnicity: A Part of the Equation for Personalized Clinical Decision Making?

Paulus, J. K., & Kent, D. M. (2017) · Circulation: Cardiovascular Quality and Outcomes

Racial and Ethnic Identity ResearchRace, Genetics, and Society

Cited by 35

Effectiveness of glucose-lowering medications on cardiovascular outcomes in patients with type 2 diabetes at moderate cardiovascular risk

McCoy, R. G., Herrin, J., Swarna, K. S., Deng, Y., Kent, D. M., Ross, J. S., Umpierrez, G. E., Galindo, R. J., Crown, W. H., Borah, B. J., et al. (2024) · Nature Cardiovascular Research

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 30

Effects of Race Are Rarely Included in Clinical Prediction Models for Cardiovascular Disease

Paulus, J. K., Wessler, B. S., Lundquist, C. M., & Kent, D. M. (2018) · Journal of General Internal Medicine

Race, Genetics, and SocietyStatistical Methods in Epidemiology

Cited by 22

Instability of the AUROC of clinical prediction models

van Leeuwen, F. D., Steyerberg, E. W., van Klaveren, D., Wessler, B., Kent, D. M., & van Zwet, E. W. (2025) · Statistics in Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 19

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Levy, T. J., Coppa, K., Cang, J., Barnaby, D. P., Paradis, M. D., Cohen, S. L., Makhnevich, A., van Klaveren, D., Kent, D. M., Davidson, K. W., et al. (2022) · Nature Communications

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 14

Long-term outcomes of a course of deep TMS for treatment-resistant OCD

Harmelech, T., Tendler, A., Arikan, M. K., Çetin, H. L., Esmeray, M. T., Ilhan, R., Vidrine, R., Muir, O., MacMillan, C., Sinclair, R., et al. (2022) · Brain Stimulation

Obsessive-Compulsive Spectrum DisordersTranscranial Magnetic Stimulation Studies

Cited by 10

Prognostic models for COVID-19 needed updating to warrant transportability over time and space

van Klaveren, D., Zanos, T. P., Nelson, J., Levy, T. J., Park, J. G., Retel Helmrich, I. R. A., Rietjens, J. A. C., Basile, M. J., Hajizadeh, N., Lingsma, H. F., et al. (2022) · BMC Medicine

COVID-19 Clinical Research StudiesStatistical Methods in Epidemiology

Cited by 5

Prognostic Models for Older Adults

Kent, D. M. (2012) · JAMA

Frailty in Older AdultsAging, Health, and Disability

Cited by 3