Predictive models and treatment efficacy for liver cancer patients with bone metastases: A comprehensive analysis of prognostic factors and nomogram development.

ABSTRACT:

Background

Bone metastasis considerably undermines the prognosis of advanced primary liver cancer patients. Though its impact is well-recognized, the clinical field still lacks robust predictive models that can accurately forecast patient outcomes and aid in treatment effectiveness evaluation. Addressing this gap is paramount for improving patient management and survival.

Materials and methods

We conducted an extensive analysis using data from the SEER database (2010-2020). COX regression analysis was applied to identify prognostic factors for primary liver cancer with bone metastasis (PLCBM). Nomograms were developed and validated to predict survival outcomes in PLCBM patients. Additionally, propensity score matching and Kaplan-Meier survival analyses lent additional insigh

SUBMITTER: Qiu P 

PROVIDER: S-EPMC11462488 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature