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A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors

BACKGROUND: The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL/METHODS: We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=286...

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Autores principales: Liu, Mengmeng, Song, Chao, Zhang, Ping, Fang, Yuan, Han, Xu, Li, Jianang, Wu, Weixin, Chen, Genwen, Sun, Jianyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268888/
https://www.ncbi.nlm.nih.gov/pubmed/32449506
http://dx.doi.org/10.12659/MSM.922378
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author Liu, Mengmeng
Song, Chao
Zhang, Ping
Fang, Yuan
Han, Xu
Li, Jianang
Wu, Weixin
Chen, Genwen
Sun, Jianyong
author_facet Liu, Mengmeng
Song, Chao
Zhang, Ping
Fang, Yuan
Han, Xu
Li, Jianang
Wu, Weixin
Chen, Genwen
Sun, Jianyong
author_sort Liu, Mengmeng
collection PubMed
description BACKGROUND: The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL/METHODS: We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=2862) and a verification group (n=1224). A nomogram was constructed by using statistically significant prognostic factors. RESULT: A nomogram that included age, sex, marital status, tumor location, grade, SEER stage, tumor size, and surgical management was developed. It can be used to predict overall survival (OS), while adding AJCC 7(th) TNM stage can predict cancer-specific survival (CSS). The C-index used to forecast OS and CSS nomograms was 0.778 (95% CI, 0.76–0.79) and 0.818 (95% CI, 0.80–0.84), respectively. CONCLUSIONS: The nomogram can effectively predict 3- and 5-year CSS in patients with GIST, and its use can improve clinical practice.
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spelling pubmed-72688882020-06-10 A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors Liu, Mengmeng Song, Chao Zhang, Ping Fang, Yuan Han, Xu Li, Jianang Wu, Weixin Chen, Genwen Sun, Jianyong Med Sci Monit Clinical Research BACKGROUND: The aim of this study was to construct a nomogram to predict the prognosis of patients with gastrointestinal stromal tumor (GIST). MATERIAL/METHODS: We enrolled 4086 GIST patients listed in the SEER database from 1998 to 2015. They were separated to 2 groups: an experimental group (n=2862) and a verification group (n=1224). A nomogram was constructed by using statistically significant prognostic factors. RESULT: A nomogram that included age, sex, marital status, tumor location, grade, SEER stage, tumor size, and surgical management was developed. It can be used to predict overall survival (OS), while adding AJCC 7(th) TNM stage can predict cancer-specific survival (CSS). The C-index used to forecast OS and CSS nomograms was 0.778 (95% CI, 0.76–0.79) and 0.818 (95% CI, 0.80–0.84), respectively. CONCLUSIONS: The nomogram can effectively predict 3- and 5-year CSS in patients with GIST, and its use can improve clinical practice. International Scientific Literature, Inc. 2020-05-25 /pmc/articles/PMC7268888/ /pubmed/32449506 http://dx.doi.org/10.12659/MSM.922378 Text en © Med Sci Monit, 2020 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Liu, Mengmeng
Song, Chao
Zhang, Ping
Fang, Yuan
Han, Xu
Li, Jianang
Wu, Weixin
Chen, Genwen
Sun, Jianyong
A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title_full A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title_fullStr A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title_full_unstemmed A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title_short A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors
title_sort nomogram for predicting cancer-specific survival of patients with gastrointestinal stromal tumors
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268888/
https://www.ncbi.nlm.nih.gov/pubmed/32449506
http://dx.doi.org/10.12659/MSM.922378
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