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Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database
This study aimed to investigate the prognostic factors of patients after liver cancer surgery and evaluate the predictive power of nomogram. Liver cancer patients with the history of surgery in the Surveillance, Epidemiology, and End Results database between 2000 and 2016 were preliminary retrieved....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322491/ https://www.ncbi.nlm.nih.gov/pubmed/34397696 http://dx.doi.org/10.1097/MD.0000000000026694 |
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author | Liang, Fangfang Ma, Fuchao Zhong, Jincai |
author_facet | Liang, Fangfang Ma, Fuchao Zhong, Jincai |
author_sort | Liang, Fangfang |
collection | PubMed |
description | This study aimed to investigate the prognostic factors of patients after liver cancer surgery and evaluate the predictive power of nomogram. Liver cancer patients with the history of surgery in the Surveillance, Epidemiology, and End Results database between 2000 and 2016 were preliminary retrieved. Patients were divided into the survival group (n = 2120, survival ≥5 years) and the death group (n = 2615, survival < 5 years). Single-factor and multi-factor Cox regression were used for analyzing the risk factors of death in patients with liver cancer after surgery. Compared with single patients, married status was the protective factor for death in patients undergoing liver cancer surgery (HR = 0.757, 95%CI: 0.685–0.837, P < .001); the risk of death in Afro-Americans (HR = 1.300, 95%CI: 1.166–1.449, P < .001) was higher than that in Caucasians, while the occurrence of death in Asians (HR = 0.821, 95%CI: 0.1754–0.895, P < .0012) was lower; female patients had a lower incidence of death (HR = 0.875, 95%CI: 0.809–0.947, P < .001); grade II (HR = 1.167, 95%CI: 1.080–1.262, P < .001), III (HR = 1.580, 95%CI: 1.433–1.744, P < .001), and IV (HR = 1.419, 95%CI: 1.145–1.758, P = 0.001) were the risk factors for death in patients with liver cancer. The prognostic factors of liver cancer patients after surgery include the marital status, race, gender, age, grade of cancer and tumor size. The nomogram with good predictive ability can provide the prediction of 5-year survival for clinical development. |
format | Online Article Text |
id | pubmed-8322491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83224912021-08-02 Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database Liang, Fangfang Ma, Fuchao Zhong, Jincai Medicine (Baltimore) 6700 This study aimed to investigate the prognostic factors of patients after liver cancer surgery and evaluate the predictive power of nomogram. Liver cancer patients with the history of surgery in the Surveillance, Epidemiology, and End Results database between 2000 and 2016 were preliminary retrieved. Patients were divided into the survival group (n = 2120, survival ≥5 years) and the death group (n = 2615, survival < 5 years). Single-factor and multi-factor Cox regression were used for analyzing the risk factors of death in patients with liver cancer after surgery. Compared with single patients, married status was the protective factor for death in patients undergoing liver cancer surgery (HR = 0.757, 95%CI: 0.685–0.837, P < .001); the risk of death in Afro-Americans (HR = 1.300, 95%CI: 1.166–1.449, P < .001) was higher than that in Caucasians, while the occurrence of death in Asians (HR = 0.821, 95%CI: 0.1754–0.895, P < .0012) was lower; female patients had a lower incidence of death (HR = 0.875, 95%CI: 0.809–0.947, P < .001); grade II (HR = 1.167, 95%CI: 1.080–1.262, P < .001), III (HR = 1.580, 95%CI: 1.433–1.744, P < .001), and IV (HR = 1.419, 95%CI: 1.145–1.758, P = 0.001) were the risk factors for death in patients with liver cancer. The prognostic factors of liver cancer patients after surgery include the marital status, race, gender, age, grade of cancer and tumor size. The nomogram with good predictive ability can provide the prediction of 5-year survival for clinical development. Lippincott Williams & Wilkins 2021-07-30 /pmc/articles/PMC8322491/ /pubmed/34397696 http://dx.doi.org/10.1097/MD.0000000000026694 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 6700 Liang, Fangfang Ma, Fuchao Zhong, Jincai Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title | Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title_full | Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title_fullStr | Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title_full_unstemmed | Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title_short | Prognostic factors of patients after liver cancer surgery: Based on Surveillance, Epidemiology, and End Results database |
title_sort | prognostic factors of patients after liver cancer surgery: based on surveillance, epidemiology, and end results database |
topic | 6700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322491/ https://www.ncbi.nlm.nih.gov/pubmed/34397696 http://dx.doi.org/10.1097/MD.0000000000026694 |
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