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
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.
Authors
- A. Lajoinie (ORCID: https://orcid.org/0000-0001-8712-8813)
- Andrew Chilelli (ORCID: https://orcid.org/0009-0006-7086-4703)
- Emmanuelle Samalin
- Jonatan Freilich (ORCID: https://orcid.org/0000-0003-3602-4189)
- Matthias Stoelzel (ORCID: https://orcid.org/0000-0002-2058-7385)
- Olivier Bouché (ORCID: https://orcid.org/0000-0002-8284-3743)
- Magali Laborey
- Guillaume Piessen
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université de Lille (FR)
- Centre Hospitalier Universitaire de Lille (FR)
- Astellas Pharma (United Kingdom) (GB)
- Centre Hospitalier Universitaire de Reims (FR)
- Institut de Recherche en Cancérologie de Montpellier (FR)
- Astellas Pharma (Germany) (DE)
- Hôpital Claude Huriez (FR)
- Université de Reims Champagne-Ardenne (FR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1371/journal.pone.0333667
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00