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

20250 citationsJournal Articlegold Open Access

Authors

Magali Laborey

A. Lajoinie

Jonatan Freilich

Emmanuelle Samalin · Institut de Recherche en Cancérologie de Montpellier

Olivier Bouché · Université de Reims Champagne-Ardenne

Guillaume Piessen · Centre Hospitalier Universitaire de Lille

Matthias Stoelzel · Astellas Pharma (Germany)

Andrew Chilelli · Astellas Pharma (United Kingdom)

Abstract

We established an algorithm that enabled linkage of the FREGAT and SNDS databases that may be applied to capture additional data related to G/GEJ adenocarcinoma in France.

Topics & Keywords

Esophageal Cancer Research and Treatment Gastric Cancer Management and Outcomes Pancreatic and Hepatic Oncology Research

Publication Details

Published in: PLoS ONE

Volume 20, Issue 11, pp. e0333667-e0333667

DOI: 10.1371/journal.pone.0333667

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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

Authors

Abstract

Topics & Keywords

Publication Details