Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/3210 |
Resumo: | INTRODUCTION: We sought to validate the commonly used prognostic models and staging systems for intrahepatic cholangiocarcinoma (ICC) in a large multi-center patient cohort. METHODS: The overall (OS) and disease free survival (DFS) prognostic discriminatory ability of various commonly used models were assessed in a large retrospective cohort. Harrell's concordance index (c-index) was used to determine accuracy of model prediction. RESULTS: Among 1054 ICC patients, median OS was 37.7 months and 1-, 3-, and 5-year survival, were 78.8%, 51.5%, and 39.3%, respectively. Recurrence of disease occurred in 454 (43.0%) patients with a median DFS of 29.6 months. One-, 3- and 5- year DFS were 64.6%, 46.5 % and 44.4%, respectively. The prognostic models associated with the best OS prediction were the Wang nomogram (c-index 0.668) and the Nathan staging system (c-index 0.639). No model was proficient in predicting DFS. Only the Wang nomogram exceeded a c-index of 0.6 for DFS (c-index 0.602). The c-index for the AJCC staging system was 0.637 for OS and 0.582 for DFS. CONCLUSIONS: While the Wang nomogram had the best discriminatory ability relative to OS and DFS, no ICC staging system or nomogram demonstrated excellent prognostic discrimination. The AJCC staging for ICC performed reasonably, although its overall discrimination was only modest-to-good. |
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Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic CholangiocarcinomaAgedBile Duct NeoplasmsCA-19-9 AntigenCarcinoembryonic AntigenCholangiocarcinomaFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisHCC CIRINTRODUCTION: We sought to validate the commonly used prognostic models and staging systems for intrahepatic cholangiocarcinoma (ICC) in a large multi-center patient cohort. METHODS: The overall (OS) and disease free survival (DFS) prognostic discriminatory ability of various commonly used models were assessed in a large retrospective cohort. Harrell's concordance index (c-index) was used to determine accuracy of model prediction. RESULTS: Among 1054 ICC patients, median OS was 37.7 months and 1-, 3-, and 5-year survival, were 78.8%, 51.5%, and 39.3%, respectively. Recurrence of disease occurred in 454 (43.0%) patients with a median DFS of 29.6 months. One-, 3- and 5- year DFS were 64.6%, 46.5 % and 44.4%, respectively. The prognostic models associated with the best OS prediction were the Wang nomogram (c-index 0.668) and the Nathan staging system (c-index 0.639). No model was proficient in predicting DFS. Only the Wang nomogram exceeded a c-index of 0.6 for DFS (c-index 0.602). The c-index for the AJCC staging system was 0.637 for OS and 0.582 for DFS. CONCLUSIONS: While the Wang nomogram had the best discriminatory ability relative to OS and DFS, no ICC staging system or nomogram demonstrated excellent prognostic discrimination. The AJCC staging for ICC performed reasonably, although its overall discrimination was only modest-to-good.WileyRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEBuettner, SGaljart, Bvan Vugt, JLBagante, FAlexandrescu, SPinto Marques, HLamelas, JAldrighetti, LGamblin, TCMaithel, SKPulitano, CMargonis, GAWeiss, MBauer, TWShen, FPoultsides, GAMarsh, JWIJzermans, JNGroot Koerkamp, BPawlik, TM2019-03-21T12:01:12Z2017-122017-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/3210engJ Surg Oncol. 2017 Dec;116(8):1085-1095.10.1002/jso.24759info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-10T09:41:49Zoai:repositorio.chlc.min-saude.pt:10400.17/3210Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:20:32.367925Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
title |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
spellingShingle |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma Buettner, S Aged Bile Duct Neoplasms CA-19-9 Antigen Carcinoembryonic Antigen Cholangiocarcinoma Female Humans Male Middle Aged Neoplasm Staging Prognosis HCC CIR |
title_short |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
title_full |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
title_fullStr |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
title_full_unstemmed |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
title_sort |
Performance of Prognostic Scores and Staging Systems in Predicting Long-Term Survival Outcomes After Surgery for Intrahepatic Cholangiocarcinoma |
author |
Buettner, S |
author_facet |
Buettner, S Galjart, B van Vugt, JL Bagante, F Alexandrescu, S Pinto Marques, H Lamelas, J Aldrighetti, L Gamblin, TC Maithel, SK Pulitano, C Margonis, GA Weiss, M Bauer, TW Shen, F Poultsides, GA Marsh, JW IJzermans, JN Groot Koerkamp, B Pawlik, TM |
author_role |
author |
author2 |
Galjart, B van Vugt, JL Bagante, F Alexandrescu, S Pinto Marques, H Lamelas, J Aldrighetti, L Gamblin, TC Maithel, SK Pulitano, C Margonis, GA Weiss, M Bauer, TW Shen, F Poultsides, GA Marsh, JW IJzermans, JN Groot Koerkamp, B Pawlik, TM |
author2_role |
author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Buettner, S Galjart, B van Vugt, JL Bagante, F Alexandrescu, S Pinto Marques, H Lamelas, J Aldrighetti, L Gamblin, TC Maithel, SK Pulitano, C Margonis, GA Weiss, M Bauer, TW Shen, F Poultsides, GA Marsh, JW IJzermans, JN Groot Koerkamp, B Pawlik, TM |
dc.subject.por.fl_str_mv |
Aged Bile Duct Neoplasms CA-19-9 Antigen Carcinoembryonic Antigen Cholangiocarcinoma Female Humans Male Middle Aged Neoplasm Staging Prognosis HCC CIR |
topic |
Aged Bile Duct Neoplasms CA-19-9 Antigen Carcinoembryonic Antigen Cholangiocarcinoma Female Humans Male Middle Aged Neoplasm Staging Prognosis HCC CIR |
description |
INTRODUCTION: We sought to validate the commonly used prognostic models and staging systems for intrahepatic cholangiocarcinoma (ICC) in a large multi-center patient cohort. METHODS: The overall (OS) and disease free survival (DFS) prognostic discriminatory ability of various commonly used models were assessed in a large retrospective cohort. Harrell's concordance index (c-index) was used to determine accuracy of model prediction. RESULTS: Among 1054 ICC patients, median OS was 37.7 months and 1-, 3-, and 5-year survival, were 78.8%, 51.5%, and 39.3%, respectively. Recurrence of disease occurred in 454 (43.0%) patients with a median DFS of 29.6 months. One-, 3- and 5- year DFS were 64.6%, 46.5 % and 44.4%, respectively. The prognostic models associated with the best OS prediction were the Wang nomogram (c-index 0.668) and the Nathan staging system (c-index 0.639). No model was proficient in predicting DFS. Only the Wang nomogram exceeded a c-index of 0.6 for DFS (c-index 0.602). The c-index for the AJCC staging system was 0.637 for OS and 0.582 for DFS. CONCLUSIONS: While the Wang nomogram had the best discriminatory ability relative to OS and DFS, no ICC staging system or nomogram demonstrated excellent prognostic discrimination. The AJCC staging for ICC performed reasonably, although its overall discrimination was only modest-to-good. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12 2017-12-01T00:00:00Z 2019-03-21T12:01:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/3210 |
url |
http://hdl.handle.net/10400.17/3210 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
J Surg Oncol. 2017 Dec;116(8):1085-1095. 10.1002/jso.24759 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131301767282688 |