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Dataset Information

Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis.


ABSTRACT:

Background

Parameters to adapt individual treatment strategies for patients with pancreatic ductal adenocarcinoma (PDAC) are urgently needed. The present study aimed to evaluate body composition parameters as predictors of overall survival (OS) in PDAC patients.

Methods

Measurements of body composition parameters were performed on computed tomography scans at diagnosis. Height-standardized and Body Mass Index- and sex-adjusted regression formulas deriving cut-offs from a healthy population were used. The Kaplan-Meier method with the log-rank test was performed for survival analysis. Independent prognostic factors were identified with uni- and multivariable Cox regression analyses.

Results

In total, 354 patients were analyzed. In a multivariable Cox model, besides tumo

SUBMITTER: Damm M 

PROVIDER: S-EPMC10720684 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature