Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric Analysis.

ABSTRACT:

Background

The adoption of common data models (CDMs) has transformed pharmacoepidemiologic research by enabling standardized data formatting and shared analytical tools across institutions. These models facilitate large-scale, multicenter studies and support timely real-world evidence generation. However, no comprehensive global evaluation of CDM applications in pharmacoepidemiology has been conducted.

Objective

This study aimed to conduct a systematic review and bibliometric analysis to map the landscape of CDM usage in pharmacoepidemiology, including publication trends, institutional authors and collaborations, and citation impacts.

Methods

In total, 5 English databases (PubMed, Web of Science, Embase, Scopus, and Virtual Health Library) and 4 Chinese databases (CNK

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC12303556 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature