Cargando…
A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study
BACKGROUND: Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer. METHODS: Surveillance, Epidemiology, a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769006/ https://www.ncbi.nlm.nih.gov/pubmed/33381462 http://dx.doi.org/10.3389/fonc.2020.620240 |
_version_ | 1783629246914101248 |
---|---|
author | Song, Zixuan Wang, Yizi Zhou, Yangzi Zhang, Dandan |
author_facet | Song, Zixuan Wang, Yizi Zhou, Yangzi Zhang, Dandan |
author_sort | Song, Zixuan |
collection | PubMed |
description | BACKGROUND: Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer. METHODS: Surveillance, Epidemiology, and End Results (SEER) data from patients with stage IV endometrial cancer registered between 2004 and 2015 were used in this study. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses. A nomogram of all-cause and cancer-specific early deaths was constructed using relevant risk factors such as tumor size, histological grade, histological classification, and treatment (surgery, radiotherapy, chemotherapy). RESULTS: A total of 2,040 patients with stage IV endometrial carcinoma were included in this study. Of these, 299 patients experienced early death (≤3 months) and 282 died from cancer-specific causes. The nomogram of all-cause and cancer-specific early deaths showed good predictive power and clinical practicality with respect to the area under the receiver operating characteristic curve and decision curve analysis. The internal validation of the nomogram revealed a good agreement between predicted early death and actual early death. CONCLUSIONS: We developed a clinically useful nomogram to predict early mortality from stage IV endometrial carcinoma using data from a large cohort. This tool can help clinicians screen high-risk patients and implement individualized treatment regimens. |
format | Online Article Text |
id | pubmed-7769006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77690062020-12-29 A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study Song, Zixuan Wang, Yizi Zhou, Yangzi Zhang, Dandan Front Oncol Oncology BACKGROUND: Endometrial carcinoma is a common gynecological malignancy. Stage IV endometrial carcinoma is associated with a high risk of early death; however, there is currently no effective prognostic tool to predict early death in stage IV endometrial cancer. METHODS: Surveillance, Epidemiology, and End Results (SEER) data from patients with stage IV endometrial cancer registered between 2004 and 2015 were used in this study. Important independent prognostic factors were identified by univariate and multivariate logistic regression analyses. A nomogram of all-cause and cancer-specific early deaths was constructed using relevant risk factors such as tumor size, histological grade, histological classification, and treatment (surgery, radiotherapy, chemotherapy). RESULTS: A total of 2,040 patients with stage IV endometrial carcinoma were included in this study. Of these, 299 patients experienced early death (≤3 months) and 282 died from cancer-specific causes. The nomogram of all-cause and cancer-specific early deaths showed good predictive power and clinical practicality with respect to the area under the receiver operating characteristic curve and decision curve analysis. The internal validation of the nomogram revealed a good agreement between predicted early death and actual early death. CONCLUSIONS: We developed a clinically useful nomogram to predict early mortality from stage IV endometrial carcinoma using data from a large cohort. This tool can help clinicians screen high-risk patients and implement individualized treatment regimens. Frontiers Media S.A. 2020-12-14 /pmc/articles/PMC7769006/ /pubmed/33381462 http://dx.doi.org/10.3389/fonc.2020.620240 Text en Copyright © 2020 Song, Wang, Zhou and Zhang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Song, Zixuan Wang, Yizi Zhou, Yangzi Zhang, Dandan A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title | A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title_full | A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title_fullStr | A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title_full_unstemmed | A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title_short | A Novel Predictive Tool for Determining the Risk of Early Death From Stage IV Endometrial Carcinoma: A Large Cohort Study |
title_sort | novel predictive tool for determining the risk of early death from stage iv endometrial carcinoma: a large cohort study |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769006/ https://www.ncbi.nlm.nih.gov/pubmed/33381462 http://dx.doi.org/10.3389/fonc.2020.620240 |
work_keys_str_mv | AT songzixuan anovelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT wangyizi anovelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT zhouyangzi anovelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT zhangdandan anovelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT songzixuan novelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT wangyizi novelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT zhouyangzi novelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy AT zhangdandan novelpredictivetoolfordeterminingtheriskofearlydeathfromstageivendometrialcarcinomaalargecohortstudy |