Topic

Patient Cohort Selection

Fillmore has focused on improving the precision of patient cohort selection within large healthcare databases to ensure the integrity of clinical research. His work includes the development and validation of refined algorithms to accurately identify patients with multiple myeloma and those initiating specific treatments. These methodological improvements enable more reliable longitudinal analyses of treatment patterns and adherence to clinical guidelines across diverse patient populations.

Electronic Health Records 2 U.S. Veterans and VA Data 2 Active Surveillance 1 Age Factors 1 Area Deprivation Index 1 Clinical Oncology 1 Clinical Practice Diffusion 1 Confirmatory Biopsy 1 Epidemiology 1 Logistic Regression 1 Observational Study 1 Prostate Cancer 1

Publications (2)

2026

Active Surveillance Use for Favorable-Risk Prostate Cancer in a Veterans Affairs Population.

Grace Lee^†, John R. Bihn^†, John M. Culnan, Jennifer La, Nhan V. Do, Kenute Myrie, Channing J. Paller, Nathanael R. Fillmore^‡, Matthew R. Cooperberg^‡, PROFOUND-VET Investigators^† Equal first authorship · ^‡ Equal senior authorship

JAMA

Active Surveillance Age Factors Area Deprivation Index Clinical Oncology Clinical Practice Diffusion

2023

Validation of algorithms to select patients with multiple myeloma and patients initiating myeloma treatment in the national Veterans Affairs Healthcare System.

Jennifer La^†, Clark DuMontier^†, Hamza Hassan, Maya Abdallah, Camille Edwards, Karina Verma, Grace Ferri, Mayuri Dharne, Cenk Yildirim, June Corrigan, J. Michael Gaziano, Nhan V. Do, Mary T. Brophy, Jane A. Driver, Nikhil C. Munshi, Nathanael R. Fillmore^† Equal first authorship

Pharmacoepidemiology and Drug Safety32(5), 558-566

U.S. Veterans and VA Data Electronic Health Records Multiple Myeloma VA Cancer Registry Algorithm Validation