Computed Tomography-Based Sarcopenia and Pancreatic Cancer Survival-A Comprehensive Meta-Analysis Exploring the Influence of Definition Criteria, Prevalence, and Treatment Intention
- 1Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
- 2Advanced Medical Imaging Group (TeCe-22), Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18016 Granada, Spain.
- 3Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain.
- 4Department of Gastroenterology and Hepatology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
- 5Department of Medical Oncology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
- 6Department of Anesthesiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
- 7Institute of Biopathology and Regenerative Medicine (IBIMER), University of Granada, 18100 Granada, Spain.
- 8Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain.
- 0Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain.
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View abstract on PubMed
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.
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