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A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer
Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clini...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646816/ https://www.ncbi.nlm.nih.gov/pubmed/34859707 http://dx.doi.org/10.1177/10760296211064900 |
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author | Chen, Ying Wang, Yanchun Xie, Suhong Zheng, Hui Tong, Ying Gao, Xiang Lu, Renquan Guo, Lin |
author_facet | Chen, Ying Wang, Yanchun Xie, Suhong Zheng, Hui Tong, Ying Gao, Xiang Lu, Renquan Guo, Lin |
author_sort | Chen, Ying |
collection | PubMed |
description | Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clinical data from 345 patients with colorectal cancer from January 2015 to December 2018 at the Shanghai Cancer Center to develop the RVTA. Additionally, the 345 patients were followed until December 2020 for prognostic analysis. The RVTA included the following variables: (a) platelet count, (b) blood transfusion history, (c) metastasis, (d) multiple chemotherapy regimens, and (e) the D-dimer level. Good predictive efficiency was observed for the RVTA (AUC was 0.825; 95% CI was 0.721 to 0.930). The median progression-free survival (PFS) of patients who had a score less than 4 (0-3), defined as the low-risk group, was significantly longer than that of the high-risk group, which included patients who had a score greater than 4 (4-8) (26 vs ten months, P < .001). The RVTA was a valuable predictor for VTE risk and had prognostic value in colorectal cancer. |
format | Online Article Text |
id | pubmed-8646816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86468162021-12-07 A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer Chen, Ying Wang, Yanchun Xie, Suhong Zheng, Hui Tong, Ying Gao, Xiang Lu, Renquan Guo, Lin Clin Appl Thromb Hemost Original Manuscript Cancer patients experience an increased risk of venous thromboembolism (VTE). In this study, we investigated a risk of venous thromboembolism algorithm (RVTA) in patients with colorectal cancer and evaluated its ability to predict the prognosis of colorectal cancer. We retrospectively analyzed clinical data from 345 patients with colorectal cancer from January 2015 to December 2018 at the Shanghai Cancer Center to develop the RVTA. Additionally, the 345 patients were followed until December 2020 for prognostic analysis. The RVTA included the following variables: (a) platelet count, (b) blood transfusion history, (c) metastasis, (d) multiple chemotherapy regimens, and (e) the D-dimer level. Good predictive efficiency was observed for the RVTA (AUC was 0.825; 95% CI was 0.721 to 0.930). The median progression-free survival (PFS) of patients who had a score less than 4 (0-3), defined as the low-risk group, was significantly longer than that of the high-risk group, which included patients who had a score greater than 4 (4-8) (26 vs ten months, P < .001). The RVTA was a valuable predictor for VTE risk and had prognostic value in colorectal cancer. SAGE Publications 2021-12-03 /pmc/articles/PMC8646816/ /pubmed/34859707 http://dx.doi.org/10.1177/10760296211064900 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Chen, Ying Wang, Yanchun Xie, Suhong Zheng, Hui Tong, Ying Gao, Xiang Lu, Renquan Guo, Lin A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title | A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title_full | A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title_fullStr | A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title_full_unstemmed | A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title_short | A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer |
title_sort | risk of venous thromboembolism algorithm as a predictor of venous thromboembolism in patients with colorectal cancer |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646816/ https://www.ncbi.nlm.nih.gov/pubmed/34859707 http://dx.doi.org/10.1177/10760296211064900 |
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