Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma

Yan Li,1 Xiaohui Bian,2 Junyu Ouyang,2 Shuyi Wei,2 Meizhi He,2 Zelong Luo1 1Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China; 2The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China Purpose: To develop nom...

Full description

Bibliographic Details
Main Authors: Li Y, Bian XH, Ouyang JY, Wei SY, He MZ, Luo ZL
Format: Article
Language:English
Published: Dove Medical Press 2018-12-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/nomograms-to-predict-overall-survival-and-cancer-specific-survival-in--peer-reviewed-article-CMAR
id doaj-a36e49e1df2a42d09268c5c525a15b06
record_format Article
spelling doaj-a36e49e1df2a42d09268c5c525a15b062020-11-24T21:11:19ZengDove Medical PressCancer Management and Research1179-13222018-12-01Volume 106949695943009Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinomaLi YBian XHOuyang JYWei SYHe MZLuo ZLYan Li,1 Xiaohui Bian,2 Junyu Ouyang,2 Shuyi Wei,2 Meizhi He,2 Zelong Luo1 1Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China; 2The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China Purpose: To develop nomogram models to predict individualized estimates of overall survival (OS) and cancer-specific survival (CSS) in patients with adrenocortical carcinoma (ACC).Patients and methods: A total of 751 patients with ACC were identified within the Surveillance Epidemiology, and End Results (SEER) database between 1973 and 2015. The predictors comprised marital status, sex, age at diagnosis, year of diagnosis, laterality, histologic grade, ethnicity, historic stage, radiation therapy, chemotherapy, and surgery of primary site. Based on the results of the multivariate logistic regression analyses, the nomogram models were used for predicting OS and CSS in patients with ACC. The nomograms were tested using concordance index (C-index) and calibration curves.Results: In univariate and multivariate analyses of OS, OS was significantly associated with age at diagnosis, year of diagnosis, histologic grade, historic stage, and chemotherapy. In univariate and multivariate analyses of CSS, age at diagnosis, year of diagnosis, historic stage, and chemotherapy were the independent risk factors with CSS. These characteristics were included in the nomograms predicting OS and CSS. The nomograms demonstrated good accuracy in predicting OS and CSS, with the C-index of 0.677 and 0.672.Conclusion: These clinically useful tools predicted OS and CSS in patients with ACC using readily available clinicopathologic factors and could aid individualized clinical decision making. Keywords: adrenocortical carcinoma, nomogram, overall survival, cancer-specific survivalhttps://www.dovepress.com/nomograms-to-predict-overall-survival-and-cancer-specific-survival-in--peer-reviewed-article-CMARadrenocortical carcinomanomogramoverall survivalcancer-specific survival
collection DOAJ
language English
format Article
sources DOAJ
author Li Y
Bian XH
Ouyang JY
Wei SY
He MZ
Luo ZL
spellingShingle Li Y
Bian XH
Ouyang JY
Wei SY
He MZ
Luo ZL
Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
Cancer Management and Research
adrenocortical carcinoma
nomogram
overall survival
cancer-specific survival
author_facet Li Y
Bian XH
Ouyang JY
Wei SY
He MZ
Luo ZL
author_sort Li Y
title Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
title_short Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
title_full Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
title_fullStr Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
title_full_unstemmed Nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
title_sort nomograms to predict overall survival and cancer-specific survival in patients with adrenocortical carcinoma
publisher Dove Medical Press
series Cancer Management and Research
issn 1179-1322
publishDate 2018-12-01
description Yan Li,1 Xiaohui Bian,2 Junyu Ouyang,2 Shuyi Wei,2 Meizhi He,2 Zelong Luo1 1Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China; 2The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China Purpose: To develop nomogram models to predict individualized estimates of overall survival (OS) and cancer-specific survival (CSS) in patients with adrenocortical carcinoma (ACC).Patients and methods: A total of 751 patients with ACC were identified within the Surveillance Epidemiology, and End Results (SEER) database between 1973 and 2015. The predictors comprised marital status, sex, age at diagnosis, year of diagnosis, laterality, histologic grade, ethnicity, historic stage, radiation therapy, chemotherapy, and surgery of primary site. Based on the results of the multivariate logistic regression analyses, the nomogram models were used for predicting OS and CSS in patients with ACC. The nomograms were tested using concordance index (C-index) and calibration curves.Results: In univariate and multivariate analyses of OS, OS was significantly associated with age at diagnosis, year of diagnosis, histologic grade, historic stage, and chemotherapy. In univariate and multivariate analyses of CSS, age at diagnosis, year of diagnosis, historic stage, and chemotherapy were the independent risk factors with CSS. These characteristics were included in the nomograms predicting OS and CSS. The nomograms demonstrated good accuracy in predicting OS and CSS, with the C-index of 0.677 and 0.672.Conclusion: These clinically useful tools predicted OS and CSS in patients with ACC using readily available clinicopathologic factors and could aid individualized clinical decision making. Keywords: adrenocortical carcinoma, nomogram, overall survival, cancer-specific survival
topic adrenocortical carcinoma
nomogram
overall survival
cancer-specific survival
url https://www.dovepress.com/nomograms-to-predict-overall-survival-and-cancer-specific-survival-in--peer-reviewed-article-CMAR
work_keys_str_mv AT liy nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
AT bianxh nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
AT ouyangjy nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
AT weisy nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
AT hemz nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
AT luozl nomogramstopredictoverallsurvivalandcancerspecificsurvivalinpatientswithadrenocorticalcarcinoma
_version_ 1716753844813168640