Computed Tomography-Based Sarcopenia and Pancreatic Cancer Survival-A Comprehensive Meta-Analysis Exploring the Influence of Definition Criteria, Prevalence, and Treatment Intention

  • 0Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.

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Summary

This summary is machine-generated.

Computed tomography (CT)-based sarcopenia is linked to worse overall survival (OS) and progression-free survival (PFS) in pancreatic cancer (PC) patients. Standardizing CT-based sarcopenia assessment is crucial for reliable prognostic information.

Area Of Science

  • Oncology
  • Radiology
  • Geriatrics

Background

  • Sarcopenia is a known risk factor for poor outcomes in pancreatic cancer (PC).
  • Existing research on CT-based sarcopenia in PC is inconsistent regarding methodology and outcomes.
  • This meta-analysis addresses the heterogeneity by evaluating CT-based sarcopenia's impact on survival in PC patients.

Purpose Of The Study

  • To assess the association between CT-defined sarcopenia and overall survival (OS) and progression-free survival (PFS) in pancreatic cancer (PC) patients.
  • To investigate the influence of confounding factors like CT measurement methods, sarcopenia thresholds, and treatment intent on this association.
  • To provide a comprehensive analysis of existing evidence through meta-analysis.

Main Methods

  • Systematic literature search for observational studies reporting hazard ratios (HRs) for OS and PFS in PC patients with sarcopenia.
  • Random-effects models to calculate pooled crude and adjusted HRs.
  • Subgroup analyses were performed based on sarcopenia measurement methods, cutoff values, prevalence, and treatment intention.

Main Results

  • Sarcopenia was significantly associated with worse OS (pooled aHR = 1.39) and PFS (pooled aHR = 1.31) in PC patients.
  • Stricter sarcopenia cutoffs and curative treatment intentions showed stronger negative associations with survival outcomes.
  • Substantial heterogeneity was observed, with potential publication bias for OS.

Conclusions

  • CT-determined sarcopenia is an independent predictor of poor OS and PFS in PC.
  • The prognostic value of sarcopenia varies with definition cutoffs and treatment intent.
  • Standardization of sarcopenia assessment methods is recommended for clinical practice and future research.