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A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis

Background: The prognosis of synchronous bone metastasis (BM) in colorectal cancer (CRC) is poor and rarely concerned. A clinical tool to evaluate the prognosis and clinical outcomes for BM would be attractive in current clinical practice. Methods: A total of 342 CRC patients with synchronous BM wer...

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Autores principales: Guan, Xu, Ma, Chen-xi, Quan, Ji-chuan, Zhao, Zhi-xun, Chen, Hai-peng, Sun, Peng, Wang, Song, Lu, Zhao, Ma, Xiao-long, Liu, Zheng, Jiang, Zheng, Wang, Xi-shan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255384/
https://www.ncbi.nlm.nih.gov/pubmed/32489455
http://dx.doi.org/10.7150/jca.40921
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author Guan, Xu
Ma, Chen-xi
Quan, Ji-chuan
Zhao, Zhi-xun
Chen, Hai-peng
Sun, Peng
Wang, Song
Lu, Zhao
Ma, Xiao-long
Liu, Zheng
Jiang, Zheng
Wang, Xi-shan
author_facet Guan, Xu
Ma, Chen-xi
Quan, Ji-chuan
Zhao, Zhi-xun
Chen, Hai-peng
Sun, Peng
Wang, Song
Lu, Zhao
Ma, Xiao-long
Liu, Zheng
Jiang, Zheng
Wang, Xi-shan
author_sort Guan, Xu
collection PubMed
description Background: The prognosis of synchronous bone metastasis (BM) in colorectal cancer (CRC) is poor and rarely concerned. A clinical tool to evaluate the prognosis and clinical outcomes for BM would be attractive in current clinical practice. Methods: A total of 342 CRC patients with synchronous BM were identified from Surveillance, Epidemiology, and End Results (SEER) database. The cancer specific survival (CSS) was estimated with the Kaplan-Meier method. Prognostic factors were identified from multivariate Cox model, and the final clinical nomogram was developed to predict the CSS. The concordance index (C-index) was used to assess the discriminative ability. Calibration curves were provided to internally validate the performance of the nomogram. Results: The nomogram finally consisted of 6 prognostic factors including age, tumor grade, AJCC N stage, carcinoembryonic antigen (CEA) levels, primary tumor resection and chemotherapy, which translated the effects of prognostic factors into certain scores to predict the 1-, 2- and 3-year CSS for the synchronous BM in CRC patients. The nomogram presented a good accuracy for predicting the CSS with the C-index of 0.742. The calibration of the nomogram predictions was also accurate. Conclusions: This nomogram was accurate enough to predict the CSS of CRC patients with synchronous BM using readily available clinicopathologic factors and could provide individualized clinical decisions for both physicians and patients.
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spelling pubmed-72553842020-06-01 A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis Guan, Xu Ma, Chen-xi Quan, Ji-chuan Zhao, Zhi-xun Chen, Hai-peng Sun, Peng Wang, Song Lu, Zhao Ma, Xiao-long Liu, Zheng Jiang, Zheng Wang, Xi-shan J Cancer Research Paper Background: The prognosis of synchronous bone metastasis (BM) in colorectal cancer (CRC) is poor and rarely concerned. A clinical tool to evaluate the prognosis and clinical outcomes for BM would be attractive in current clinical practice. Methods: A total of 342 CRC patients with synchronous BM were identified from Surveillance, Epidemiology, and End Results (SEER) database. The cancer specific survival (CSS) was estimated with the Kaplan-Meier method. Prognostic factors were identified from multivariate Cox model, and the final clinical nomogram was developed to predict the CSS. The concordance index (C-index) was used to assess the discriminative ability. Calibration curves were provided to internally validate the performance of the nomogram. Results: The nomogram finally consisted of 6 prognostic factors including age, tumor grade, AJCC N stage, carcinoembryonic antigen (CEA) levels, primary tumor resection and chemotherapy, which translated the effects of prognostic factors into certain scores to predict the 1-, 2- and 3-year CSS for the synchronous BM in CRC patients. The nomogram presented a good accuracy for predicting the CSS with the C-index of 0.742. The calibration of the nomogram predictions was also accurate. Conclusions: This nomogram was accurate enough to predict the CSS of CRC patients with synchronous BM using readily available clinicopathologic factors and could provide individualized clinical decisions for both physicians and patients. Ivyspring International Publisher 2020-05-11 /pmc/articles/PMC7255384/ /pubmed/32489455 http://dx.doi.org/10.7150/jca.40921 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Guan, Xu
Ma, Chen-xi
Quan, Ji-chuan
Zhao, Zhi-xun
Chen, Hai-peng
Sun, Peng
Wang, Song
Lu, Zhao
Ma, Xiao-long
Liu, Zheng
Jiang, Zheng
Wang, Xi-shan
A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title_full A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title_fullStr A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title_full_unstemmed A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title_short A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
title_sort prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7255384/
https://www.ncbi.nlm.nih.gov/pubmed/32489455
http://dx.doi.org/10.7150/jca.40921
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