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A nomogram to predict prognosis for gastric cancer with peritoneal dissemination
OBJECTIVE: To identify independent prognostic factors to be included in a nomogram to predict the prognosis of gastric cancer patients with peritoneal dissemination. METHODS: This is a retrospective study on 684 patients with a histological diagnosis of gastric cancer with peritoneal dissemination f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129562/ https://www.ncbi.nlm.nih.gov/pubmed/30210225 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.04.08 |
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author | Chen, Shi Chen, Xijie Nie, Runcong Ou Yang, Liying Liu, Aihong Li, Yuanfang Zhou, Zhiwei Chen, Yingbo Peng, Junsheng |
author_facet | Chen, Shi Chen, Xijie Nie, Runcong Ou Yang, Liying Liu, Aihong Li, Yuanfang Zhou, Zhiwei Chen, Yingbo Peng, Junsheng |
author_sort | Chen, Shi |
collection | PubMed |
description | OBJECTIVE: To identify independent prognostic factors to be included in a nomogram to predict the prognosis of gastric cancer patients with peritoneal dissemination. METHODS: This is a retrospective study on 684 patients with a histological diagnosis of gastric cancer with peritoneal dissemination from the Sun Yat-sen University Cancer Center as the development set, and 62 gastric cancer patients from the Sixth Affiliated Hospital of Sun Yat-sen University as the validation group. Chi-square test and Cox regression analysis were used to compare the clinicopathological variables and the prognosis of gastric cancer patients with peritoneal dissemination. The Harrell’s concordance index (C-index) and calibration curve were determined for comparisons of predictive ability of the nomogram. RESULTS: Univariate and multivariate analyses showed that serum carcinoembryonic antigen (CEA) level (P=0.032), ascites grading (P=0.008), presence of extraperitoneal metastasis (P<0.001), seeding status (P=0.016) and performance status (P=0.009) were independent prognostic factors for gastric cancer patients with peritoneal dissemination in the development set. The nomogram model was constructed using these five factors. Internal validation showed that the C-index of the model was 0.641. For the external validation, the C-index of this model was 0.709. CONCLUSIONS: We developed and validated a nomogram to predict the prognosis for gastric cancer patients with peritoneal dissemination. This nomogram may play an important clinical role in guiding palliative therapy for these types of patients, although it may need more data for optimization. |
format | Online Article Text |
id | pubmed-6129562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-61295622018-09-12 A nomogram to predict prognosis for gastric cancer with peritoneal dissemination Chen, Shi Chen, Xijie Nie, Runcong Ou Yang, Liying Liu, Aihong Li, Yuanfang Zhou, Zhiwei Chen, Yingbo Peng, Junsheng Chin J Cancer Res Original Article OBJECTIVE: To identify independent prognostic factors to be included in a nomogram to predict the prognosis of gastric cancer patients with peritoneal dissemination. METHODS: This is a retrospective study on 684 patients with a histological diagnosis of gastric cancer with peritoneal dissemination from the Sun Yat-sen University Cancer Center as the development set, and 62 gastric cancer patients from the Sixth Affiliated Hospital of Sun Yat-sen University as the validation group. Chi-square test and Cox regression analysis were used to compare the clinicopathological variables and the prognosis of gastric cancer patients with peritoneal dissemination. The Harrell’s concordance index (C-index) and calibration curve were determined for comparisons of predictive ability of the nomogram. RESULTS: Univariate and multivariate analyses showed that serum carcinoembryonic antigen (CEA) level (P=0.032), ascites grading (P=0.008), presence of extraperitoneal metastasis (P<0.001), seeding status (P=0.016) and performance status (P=0.009) were independent prognostic factors for gastric cancer patients with peritoneal dissemination in the development set. The nomogram model was constructed using these five factors. Internal validation showed that the C-index of the model was 0.641. For the external validation, the C-index of this model was 0.709. CONCLUSIONS: We developed and validated a nomogram to predict the prognosis for gastric cancer patients with peritoneal dissemination. This nomogram may play an important clinical role in guiding palliative therapy for these types of patients, although it may need more data for optimization. AME Publishing Company 2018-08 /pmc/articles/PMC6129562/ /pubmed/30210225 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.04.08 Text en Copyright © 2018 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Original Article Chen, Shi Chen, Xijie Nie, Runcong Ou Yang, Liying Liu, Aihong Li, Yuanfang Zhou, Zhiwei Chen, Yingbo Peng, Junsheng A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title | A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title_full | A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title_fullStr | A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title_full_unstemmed | A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title_short | A nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
title_sort | nomogram to predict prognosis for gastric cancer with peritoneal dissemination |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129562/ https://www.ncbi.nlm.nih.gov/pubmed/30210225 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.04.08 |
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