Document details

A Novel Online Prognostic Tool to Predict Long-Term Survival after Liver Resection for Intrahepatic Cholangiocarcinoma: The "Metro-Ticket" Paradigm

Author(s): Sahara, K ; Tsilimigras, D ; Mehta, R ; Bagante, F ; Guglielmi, A ; Aldrighetti, L ; Alexandrescu, S ; Pinto Marques, H ; Shen, F ; Koerkamp, B ; Endo, I ; Pawlik, T

Date: 2019

Persistent ID: http://hdl.handle.net/10400.17/3651

Origin: Repositório do Centro Hospitalar de Lisboa Central, EPE

Subject(s): Aged; Bile Duct Neoplasms; Cholangiocarcinoma; Female; Humans; Male; Middle Aged; Online Systems; Predictive Value of Tests; Prognosis; Survival Rate; Bile Ducts, Intrahepatic; Hepatectomy; HCC CIR


Description

Background: The aim of the current study was to develop an online calculator to predict survival after liver resection for intrahepatic cholangiocarcinoma (ICC) based on the "metro-ticket" paradigm. Methods: Between 1990 and 2016, patients who underwent liver resection for ICC were identified in an international multi-institutional database. The final multivariable model of survival was used to develop an online prognostic calculator of survival. Results: Among 643 patients, actual 5-year overall survival (OS) after resection for ICC was 42.7%. On multivariable analysis, CA19-9 > 200 (hazard ratio (HR), 2.62; 95% CI, 2.01-3.42), sum of the number and largest tumor size >7 (HR, 1.88; 95% CI, 1.46-2.42), N1 disease (HR, 2.87; 95% CI, 1.98-4.16), R1 resection (HR, 1.72; 95% CI, 1.21-2.46), poor/undifferentiated tumor grade (HR, 1.74; 95% CI, 1.25-2.44), major vascular invasion (HR, 1.47; 95% CI, 1.03-2.10), and adjuvant chemotherapy (HR, 0.64; 95% CI, 0.45-0.89) were significantly associated with survival and were included in the online calculator. The predictive accuracy of the model was good to very good as the C-statistics to predict 5-year OS was 0.696 in the training dataset and 0.672 with bootstrapping resamples (n = 5000) in the test dataset. Conclusion: A novel, online calculator was developed to estimate the 5-year survival probability for patients undergoing resection for ICC. This tool could help provide useful information to guide treatment decision-making and inform conversations about prognosis.

Document Type Journal article
Language English
Contributor(s) Repositório da Unidade Local de Saúde São José
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