Methodological approach to optimize a step-by-step deterministic linkage of SNDS data with a clinical database (FREGAT) of gastric/gastroesophageal junction adenocarcinoma in France: Pitfalls and learnings.

Date publication

novembre 2025

Journal

PloS one

Auteurs

Membres identifiés du Cancéropôle Est :
Pr BOUCHE Olivier

Tous les auteurs :
Laborey M, Lajoinie A, Freilich J, Samalin E, Bouché O, Piessen G, Stoelzel M, Chilelli A

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/41202062

Résumé

Survival rates in the European population with gastric and gastroesophageal junction (G/GEJ) adenocarcinoma remain low. Epidemiologic research is warranted to understand the population size, unmet need, and current treatment patterns of G/GEJ adenocarcinoma. The objective of this research was to develop an algorithm to link patients across the FRench EsoGAstric Tumours (FREGAT) and Système National des Données de Santé (SNDS) databases to develop a real-world dataset for G/GEJ adenocarcinoma.

Mots clés

Humans, France, epidemiology, Esophagogastric Junction, pathology, Stomach Neoplasms, epidemiology, Adenocarcinoma, epidemiology, Databases, Factual, Algorithms, Esophageal Neoplasms, epidemiology, Female, Male, Aged, Middle Aged

Référence

PLoS One. 2025 11 7;20(11):e0333667