A risk score model to predict incidental gallbladder cancer in patients scheduled for cholecystectomy - 05/09/20

Abstract |
Background |
Gallbladder cancer (GBC) has a poor prognosis. The aim was to develop and validate a preoperative risk score for incidental gallbladder cancer (IGBC) in patients scheduled for cholecystectomy.
Methods |
Data registered in the nationwide Swedish Registry for Gallstone Surgery (GallRiks) was analyzed, including the derivation cohort (n = 28915, 2007–2014) and the validation cohort (n = 7851, 2014–2016). An additive risk score model based on odds ratio was created.
Results |
The scoring model to predict IGBC includes age, female gender, previous cholecystitis, and either jaundice or acute cholecystitis. The calibration by HL test and discrimination by AUROC was 8.27 (P = 0.291) and 0.76 in the derivation cohort (214 IGBC) and 14.28 (P = 0.027) and 0.79 in the validation cohort (35 IGBC). The scoring system was applied to three risk-groups, based on the risk of having IGBC, eg. the high-risk group (>8 points) included 7878 patients, with 154 observed and 148 expected IGBC cases.
Conclusion |
We present the first risk score model to predict IGBC. The model estimates the expected risk for the individual patient and may help to optimize treatment strategies.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Gallbladder cancer has a poor prognosis unless diagnosed at an early stage. |
• | We have created a preoperative risk score model for incidental gallbladder cancer in patients scheduled for cholecystectomy. |
• | Based on the scoring system three risk-groups were created. |
• | The risk score model may help to optimize treatment strategies. |
Keywords : Incidental gallbladder cancer, Risk score model
Plan
Vol 220 - N° 3
P. 741-744 - septembre 2020 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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