Performance of the Self-Controlled Case Series With Active Comparators for Drug Safety Signal Detection Using the French Administrative Healthcare Database (SNDS).

ABSTRACT:

Background

The self controlled case series (SCCS) is one of the most promising methods for drug safety signal detection using real world data (RWD), and incorporating active comparators could potentially improve its performance by addressing time-varying confounding by indication. The 'Système National des Données de Santé' (SNDS) is a large nationwide administrative claims database, which has not been used extensively for drug safety signal detection. While comparable in size to other RWD sources, it is unclear to what extent the performance of SCCS correlates with that in other sources.

Objectives

This study aims to evaluate the performance of the SCCS with and without active comparators for signal detection in the French administrative healthcare database SNDS.

Methods

SUBMITTER: Coste A 

PROVIDER: S-EPMC12616763 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature