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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7268888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
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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