Development and validation of prognostic prediction models for early-stage cervical cancer patients based on pathological intermediate-risk factors.

ABSTRACT:

Background

The combination patterns of pathological intermediate-risk factors and the choice of adjuvant therapy for early-stage cervical cancer (CC) remain controversial.

Objectives

To develop and validate nomogram-based prediction models incorporating pathological intermediate-risk factors to predict survival outcomes and optimize adjuvant therapy strategies in early-stage CC patients.

Design

A multicenter retrospective study.

Methods

A total of 1104 patients with stage IB-IIA CC who underwent primary surgical treatment and had no pathological high-risk factors were retrospectively enrolled from three tertiary medical centers in China between January 2005 and December 2017. Patients were randomly assigned to development and validation cohorts (approximately 3

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12301605 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature