Analysis of interstitial lung disease in pharmacovigilance databases: Coding challenges and interpretation biases-An update.

Fiche publication

Date publication

février 2026

Journal

British journal of clinical pharmacology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr BONNIAUD Philippe

Tous les auteurs :
Freppel R, Benis A, Bonniaud P, Faillie JL, Grandvuillemin A

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/41693128

Résumé

Clinically, interstitial lung disease (ILD) is a heterogeneous group of respiratory disorders. Due to their low incidence, pharmacovigilance database analysis is useful to detect them. Precise diagnosis is challenging as well as coding in these databases. Query criteria are among the key elements for a good signal detection. This study aimed to investigate interpretation biases related to ILD coding in PV databases.