4.7 Article

Defining and Predicting Early Recurrence after Resection for Gallbladder Cancer

Journal

ANNALS OF SURGICAL ONCOLOGY
Volume 28, Issue 1, Pages 417-425

Publisher

SPRINGER
DOI: 10.1245/s10434-020-09108-y

Keywords

-

Ask authors/readers for more resources

This study developed and validated a novel GBRR score to predict early recurrence (ER) in patients undergoing resection for gallbladder cancer (GBC). Factors such as T3/T4 disease and poor tumor differentiation were found to be associated with increased hazards of ER. The GBRR score showed good generalizability and calibration in external validation, providing a useful tool for clinicians to optimize surveillance intervals and counseling for GBC patients.
Background. The optimal time interval to define early recurrence (ER) among patients who underwent resection of gallbladder cancer (GBC) is not well defined. We sought to develop and validate a novel GBC recurrence risk (GBRR) score to predict ER among patients undergoing resection for GBC. Patients and Methods. Patients who underwent curative-intent resection for GBC between 2000 and 2018 were identified from the US Extrahepatic Biliary Malignancy Consortium database. A minimumpvalue approach in the log-rank test was used to define the optimal cutoff for ER. A risk stratification model was developed to predict ER based on relevant clinicopathological factors and was externally validated. Results. Among 309 patients, 103 patients (33.3%) had a recurrence at a median follow-up period of 15.1 months. The optimal cutoff for ER was defined at 12 months (p = 3.04 x 10(-18)). On multivariable analysis, T3/T4 disease (HR: 2.80; 95% CI 1.58-5.11) and poor tumor differentiation (HR: 1.91; 95% CI 1.11-3.25) were associated with greater hazards of ER. The GBRR score was developed using beta-coefficients of variables in the final model, and patients were classified into three distinct groups relative to the risk for ER (12-month RFS; low risk: 88.4%, intermediate risk: 77.9%, high risk: 37.0%,p < 0.001). The external validation demonstrated good model generalizability with good calibration (n = 102: 12-month RFS; low risk: 94.2%, intermediate risk: 59.8%, high risk: 42.0%,p < 0.001). The GBRR score is available online at. Conclusions. A novel online calculator was developed to help clinicians predict the probability of ER after curative-intent resection for GBC. The proposed web-based tool may help in the optimization of surveillance intervals and the counselling of patients about their prognosis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available