Internal validation protocol for large collaborative clinical data sets: assessment of the CONGRESS database
This study proposes a reproducible framework and benchmarks for validating large collaborative clinical data sets, using the national CONGRESS data set as an example. This approach offers a standard for ensuring reliable, high-quality research outcomes across multicentre databases.
Authors
- NS Blencowe
- Paul Turner (ORCID: https://orcid.org/0000-0002-8131-5412)
- Swathikan Chidambaram (ORCID: https://orcid.org/0000-0002-4009-3243)
- Kirsty Cole (ORCID: https://orcid.org/0000-0001-8358-8564)
- A Botros
- Sally Pan (ORCID: https://orcid.org/0000-0002-1584-8026)
- JA Gossage
- Nav Thavanesan
- Shajahan Wahed
- SR Markar
- EA Griffiths
- TJ Underwood
- PH Pucher
- N Trudgill
- RPT Evans
- P Bhandari
- T Crosby
- Leo Brown
- on behalf of the CONGRESS collaborative*
- Benjamin Byrne
Institutions
- University Hospitals Birmingham NHS Foundation Trust (GB)
- St Thomas' Hospital (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Velindre NHS Trust (GB)
- University of Bristol (GB)
- University of Oxford (GB)
- Portsmouth Hospitals NHS Trust (GB)
- St. Thomas Hospital (CA)
- University of Southampton (GB)
- Imperial College London (GB)
- University of Portsmouth (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Annals of The Royal College of Surgeons of England
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1308/rcsann.2025.0094
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00