Risk-stratified selection to colonoscopy in FIT colorectal cancer screening: development and temporal validation of a prediction model
Menée à partir de données du registre danois du programme de dépistage du cancer colorectal portant sur 56 459 personnes ayant subi une coloscopie après un test FIT positif, cette étude évalue la performance d'un modèle prédictif, basé sur l'âge, le sexe et le taux d'hémoglobine fécale, pour identifier les personnes nécessitant une coloscopie
Background : Faecal immunochemical tests (FITs) yield many false positives and challenge colonoscopy capacity in colorectal cancer (CRC) screening programmes. We aimed to develop a risk-based selection of participants to undergo diagnostic colonoscopy.
Methods : The study was observational and used registry data from the Danish CRC screening programme. We included all participants invited 2014–2016 with a positive FIT (
≥
20
μg fHb/g) who underwent colonoscopy (n
= 56,459). We predicted the risk of CRC or advanced neoplasia (AN) from age, gender and FIT value using logistic regression. We evaluated calibration and discrimination and conducted temporal validation. We compared the number of CRCs and adenomas identified by risk cut-offs and by a corresponding FIT cut-off.
Results : AUCs were 74.9% (95% CI: 73.6; 76.3) and 67.4% (95% CI: 66.8%; 68.0%) for the models predicting CRC and AN in the validation dataset. The cut-off of CRC risk calculated from age, gender and FIT value identified 1.03 times (95% CI: 1.02; 1.05) more CRCs and 1.01 times (95% CI: 1.01; 1.01) more medium/high-risk adenomas compared with the corresponding FIT cut-off.
Conclusions : With existing data, risk-stratified FIT screening using a risk cut-off instead of a FIT cut-off can slightly improve the selection to colonoscopy of those at highest risk of cancer and adenomas.
British Journal of Cancer , résumé, 2022