The annual recurrence risk model for tailored surveillance strategy in patients with cervical cancer.

ABSTRACT:

Purpose

Current guidelines for surveillance strategy in cervical cancer are rigid, recommending the same strategy for all survivors. The aim of this study was to develop a robust model allowing for individualised surveillance based on a patient's risk profile.

Methods

Data of 4343 early-stage patients with cervical cancer treated between 2007 and 2016 were obtained from the international SCCAN (Surveillance in Cervical Cancer) consortium. The Cox proportional hazards model predicting disease-free survival (DFS) was developed and internally validated. The risk score, derived from regression coefficients of the model, stratified the cohort into significantly distinctive risk groups. On its basis, the annual recurrence risk model (ARRM) was calculated.

Results

Five varia

SUBMITTER: Cibula D 

PROVIDER: S-EPMC9406128 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature