A retrospective study using the Surveillance Epidemiology and End Results (SEER) database to predict risk and prognostic factors for lung metastasis in cervical carcinoma: nomogram development and validation.

ABSTRACT:

Background

Lung metastasis is commonly observed in patients with cervical carcinoma and is frequently linked to a poor prognosis. Currently, there is a gap in research specifically addressing the diagnostic and prognostic assessment of lung metastasis in cervical carcinoma patients through the use of nomograms. Therefore, developing effective predictive models is crucial for guiding clinical practice and improving patient management. The objective of this study is to develop and validate nomogram-based models for predicting lung metastasis and prognosis in patients with cervical carcinoma.

Methods

We selected patients from the Surveillance, Epidemiology, and End Results (SEER) database, covering the period from 2000 to 2021. In order to find independent risk factors for lung

SUBMITTER: Jin H 

PROVIDER: S-EPMC12268780 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature