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Dataset Information

Construction and validation of a prognostic nomogram for locally recurrent rectal cancer: a population-based study.


ABSTRACT:

Background

Postoperative recurrence was a life-threatening condition for patients with rectal cancer. Due to the heterogeneity of locally recurrent rectal cancer (LRRC) and controversy of the optimal treatment for patients, it was difficult to predict the prognosis of LRRC. This study aimed to develop and validate a nomogram that could accurately predict the survival probability of LRRC.

Methods

Patients diagnosed with LRRC between 2004 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database were included in the analysis. Multiple imputations with chained equations were used for missing values. These patients were further randomized into training set and testing set. Cox regression was used for univariate and multivariate analysis. Potential predictors

SUBMITTER: Huang X 

PROVIDER: S-EPMC10331767 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature