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Nomograms that predict the survival of patients with adenocarcinoma in villous adenoma of the colorectum: a SEER-based study.


ABSTRACT:

Background

Considering that the knowledge of adenocarcinoma in villous adenoma of the colorectum is limited to several case reports, we designed a study to investigate independent prognostic factors and developed nomograms for predicting the survival of patients.

Methods

Univariate and multivariate Cox regression analyses were used to evaluate prognostic factors. A nomogram predicting cancer-specific survival (CSS) was performed; internally and externally validated; evaluated by receiver operating characteristic (ROC) curve, C-index, and decision curve analyses; and compared to the 7th TNM stage.

Results

Patients with adenocarcinoma in villous adenoma of the colorectum had a 1-year overall survival (OS) rate of 88.3% (95% CI: 87.1-89.5%), a 3-year OS rate of 75.1% (95% CI: 73.3-77%) and a 5-year OS rate of 64.5% (95% CI: 62-67.1%). Nomograms for 1-, 3- and 5-year CSS predictions were constructed and performed better with a higher C-index than the 7th TNM staging (internal: 0.716 vs 0.663; P?ConclusionAge, race, T stage, pathologic grade, N stage, tumor size and M stage were prognostic factors for both OS and CSS. The constructed nomograms were more effective and accurate for predicting the 1-, 3- and 5-year CSS of patients with adenocarcinoma in villous adenoma than 7th TNM staging.

SUBMITTER: Tang CT 

PROVIDER: S-EPMC7325241 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Nomograms that predict the survival of patients with adenocarcinoma in villous adenoma of the colorectum: a SEER-based study.

Tang Chao-Tao CT   Zeng Ling L   Yang Jing J   Zeng Chunyan C   Chen Youxiang Y  

BMC cancer 20200629 1


<h4>Background</h4>Considering that the knowledge of adenocarcinoma in villous adenoma of the colorectum is limited to several case reports, we designed a study to investigate independent prognostic factors and developed nomograms for predicting the survival of patients.<h4>Methods</h4>Univariate and multivariate Cox regression analyses were used to evaluate prognostic factors. A nomogram predicting cancer-specific survival (CSS) was performed; internally and externally validated; evaluated by r  ...[more]

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