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Defining and Predicting Early Recurrence after Resection for Gallbladder Cancer

Authors :
Kota Sahara
Ioannis Hatzaras
Matthew J. Weiss
Charles R. Scoggins
Yutaro Kikuchi
Kamran Idrees
Perry Shen
Shishir K. Maithel
Daniel E. Abbott
Ryusei Matsuyama
Chelsea A. Isom
George A. Poultsides
Ryan C. Fields
Diamantis I. Tsilimigras
Cecilia G. Ethun
Yasuhiro Yabushita
Itaru Endo
Timothy M. Pawlik
Source :
Annals of Surgical Oncology. 28:417-425
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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 who underwent curative-intent resection for GBC between 2000 and 2018 were identified from the US Extrahepatic Biliary Malignancy Consortium database. A minimum p value 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. 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 × 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 β-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

Details

ISSN :
15344681 and 10689265
Volume :
28
Database :
OpenAIRE
Journal :
Annals of Surgical Oncology
Accession number :
edsair.doi...........8714738009b9e2c8e6748b5c3f996ec6
Full Text :
https://doi.org/10.1245/s10434-020-09108-y