Unknown

Dataset Information

Development and validation of nomograms to recurrence and survival in patients with early-stage cervical adenocarcinoma.


ABSTRACT:

Purpose

Cervical adenocarcinoma is one of the most common types of cervical cancer and its incidence is increasing. The biological behavior and treatment outcomes of cervical adenocarcinoma (CA) differ from those of squamous cell carcinoma (SCC). We sought to develop a model to predict recurrence and cancer-specific survival (CSS) deaths in CA patients.

Methods

131 patients were included in model development and internal validation, and patients from the SEER database (N = 1679) were used for external validation. Multivariable Cox proportional hazards regression analysis was used to select predictors of relapse-free survival (RFS) and CSS and to construct the model, which was presented as two nomograms. Internal validation of the nomograms was performed using the bootstrap r

SUBMITTER: Wang X 

PROVIDER: S-EPMC10590295 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature