Kota Sahara1,2, Diamantis I Tsilimigras1, Rittal Mehta1, Fabio Bagante3, Alfredo Guglielmi3, Luca Aldrighetti4, Sorin Alexandrescu5, Hugo P Marques6, Feng Shen7, Bas G Koerkamp8, Itaru Endo2, Timothy M Pawlik1. 1. Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, Ohio. 2. Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan. 3. Department of Surgery, University of Verona, Verona, Italy. 4. Department of Surgery, Ospedale San Raffaele, Milano, Italy. 5. Department of Surgery, Fundeni Clinical Institute, Bucharest, Romania. 6. Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal. 7. Department of Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China. 8. Department of Surgery, Erasmus University Medical Centre, Rotterdam, Netherlands.
Abstract
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.
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.
Authors: Kota Sahara; Diamantis I Tsilimigras; Junya Toyoda; Kentaro Miyake; Cecilia G Ethun; Shishir K Maithel; Daniel E Abbott; George A Poultsides; Ioannis Hatzaras; Ryan C Fields; Matthew Weiss; Charles Scoggins; Chelsea A Isom; Kamran Idrees; Perry Shen; Yasuhiro Yabushita; Ryusei Matsuyama; Itaru Endo; Timothy M Pawlik Journal: Ann Surg Oncol Date: 2021-03-11 Impact factor: 5.344
Authors: Diamantis I Tsilimigras; Rittal Mehta; Dimitrios Moris; Kota Sahara; Fabio Bagante; Anghela Z Paredes; Amika Moro; Alfredo Guglielmi; Luca Aldrighetti; Matthew Weiss; Todd W Bauer; Sorin Alexandrescu; George A Poultsides; Shishir K Maithel; Hugo P Marques; Guillaume Martel; Carlo Pulitano; Feng Shen; Olivier Soubrane; Bas Groot Koerkamp; Itaru Endo; Timothy M Pawlik Journal: Ann Surg Oncol Date: 2019-11-14 Impact factor: 5.344
Authors: Diamantis I Tsilimigras; Kota Sahara; Lu Wu; Dimitrios Moris; Fabio Bagante; Alfredo Guglielmi; Luca Aldrighetti; Matthew Weiss; Todd W Bauer; Sorin Alexandrescu; George A Poultsides; Shishir K Maithel; Hugo P Marques; Guillaume Martel; Carlo Pulitano; Feng Shen; Olivier Soubrane; B Groot Koerkamp; Amika Moro; Kazunari Sasaki; Federico Aucejo; Xu-Feng Zhang; Ryusei Matsuyama; Itaru Endo; Timothy M Pawlik Journal: JAMA Surg Date: 2020-09-01 Impact factor: 14.766