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Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis
AIM: Assess the risk of synchronous metastasis and establish a nomogram in patients with GISTs. METHODS: Surveillance, Epidemiology and End Results database (2004-2014) was accessed. With the logistic regression model as the basis, a nomogram was constructed. RESULTS: 7,256 target patients were cont...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204200/ https://www.ncbi.nlm.nih.gov/pubmed/32411204 http://dx.doi.org/10.1155/2020/8493707 |
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author | Li, Yuqiang Zhang, Guangfeng Song, Xiangping Zhao, Lilan Güngör, Cenap Wang, Dan Liu, Wenxue Huang, Yan Tan, Fengbo |
author_facet | Li, Yuqiang Zhang, Guangfeng Song, Xiangping Zhao, Lilan Güngör, Cenap Wang, Dan Liu, Wenxue Huang, Yan Tan, Fengbo |
author_sort | Li, Yuqiang |
collection | PubMed |
description | AIM: Assess the risk of synchronous metastasis and establish a nomogram in patients with GISTs. METHODS: Surveillance, Epidemiology and End Results database (2004-2014) was accessed. With the logistic regression model as the basis, a nomogram was constructed. RESULTS: 7,256 target patients were contained in our study. The nomogram discrimination for mGIST prediction revealed that tumor size contributed most to synchronous metastasis, followed by lymph nodes, extension, pathologic grade, tumor location, and mitotic count. C-index values of predictions were 0.821 (95% CI, 0.805-0.836) and 0.815 (95% CI, 0.800-0.831), and Brier score were 0.109 and 0.112 in training and validation group, respectively. The value of area under the ROCs were 0.813 (p < 0.001) in the primary cohort and 0.819 (p < 0.001) in the validation cohort. Through the calibration curves (as seen in the figures), nomogram prediction proved to have excellent agreement with actual metastatic diseases. CONCLUSION: A new nomogram was created that can evaluate synchronous metastatic diseases in patients with GISTs. |
format | Online Article Text |
id | pubmed-7204200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72042002020-05-14 Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis Li, Yuqiang Zhang, Guangfeng Song, Xiangping Zhao, Lilan Güngör, Cenap Wang, Dan Liu, Wenxue Huang, Yan Tan, Fengbo Gastroenterol Res Pract Research Article AIM: Assess the risk of synchronous metastasis and establish a nomogram in patients with GISTs. METHODS: Surveillance, Epidemiology and End Results database (2004-2014) was accessed. With the logistic regression model as the basis, a nomogram was constructed. RESULTS: 7,256 target patients were contained in our study. The nomogram discrimination for mGIST prediction revealed that tumor size contributed most to synchronous metastasis, followed by lymph nodes, extension, pathologic grade, tumor location, and mitotic count. C-index values of predictions were 0.821 (95% CI, 0.805-0.836) and 0.815 (95% CI, 0.800-0.831), and Brier score were 0.109 and 0.112 in training and validation group, respectively. The value of area under the ROCs were 0.813 (p < 0.001) in the primary cohort and 0.819 (p < 0.001) in the validation cohort. Through the calibration curves (as seen in the figures), nomogram prediction proved to have excellent agreement with actual metastatic diseases. CONCLUSION: A new nomogram was created that can evaluate synchronous metastatic diseases in patients with GISTs. Hindawi 2020-01-27 /pmc/articles/PMC7204200/ /pubmed/32411204 http://dx.doi.org/10.1155/2020/8493707 Text en Copyright © 2020 Yuqiang Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Yuqiang Zhang, Guangfeng Song, Xiangping Zhao, Lilan Güngör, Cenap Wang, Dan Liu, Wenxue Huang, Yan Tan, Fengbo Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title | Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title_full | Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title_fullStr | Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title_full_unstemmed | Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title_short | Establishment and Verification of Synchronous Metastatic Nomogram for Gastrointestinal Stromal Tumors (GISTs): A Population-Based Analysis |
title_sort | establishment and verification of synchronous metastatic nomogram for gastrointestinal stromal tumors (gists): a population-based analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204200/ https://www.ncbi.nlm.nih.gov/pubmed/32411204 http://dx.doi.org/10.1155/2020/8493707 |
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