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- Title
Low Skeletal Muscle Mass Predicts Relevant Outcomes in Palliative Urological Oncology: A Systematic Review and Meta-Analysis.
- Authors
Meyer, Hans-Jonas; Wienke, Andreas; Zamsheva, Marina; Surov, Alexey
- Abstract
Introduction: Low skeletal muscle mass (LSMM) can be assessed by cross-sectional imaging. LSMM is associated with several clinically relevant factors in various disorders with predictive and prognostic implications. Methods: Our aim was to establish the effect of computed tomography (CT)-defined LSMM on mortality in renal cell cancer (RCC) and urothelial carcinoma (UC) undergoing palliative treatment. The MEDLINE library, Cochrane, and SCOPUS databases were screened for the associations between CT-defined LSMM up to May 2022. In total, 11 studies were suitable for the analysis. Results: The included studies comprised 481 patients with RCC and 394 patients with UC. The pooled hazard ratio for the association between LSMM and overall survival was 1.64 (95% CI: 0.90–2.99), p = 0.10 in univariable analysis and 1.55 (95% CI: 0.91–2.63), p = 0.10 in multivariable analysis for RCC. For UC, the pooled hazard ratio was 2.75 (95% CI: 1.77–4.28), p < 0.00001 in univariable, and 2.77 (95% CI: 1.91–4.02), p < 0.00001 in multivariable analysis. For progression-free survival, it was 2.02 (95% CI: 1.24–3.27), p = 0.004 for RCC and 2.43 (95% CI: 1.59–3.74), p < 0.0001 for UC (univariable analysis). Conclusions: CT-defined LSMM predicts OS and PFS in RCC and UC in the palliative setting. The effect was higher in UC. Therefore, LSMM assessment should be included as a relevant prognostic biomarker in clinical routine.
- Subjects
MUSCLE mass; SKELETAL muscle; CROSS-sectional imaging; PROGNOSIS; RENAL cancer
- Publication
Urologia Internationalis, 2023, Vol 107, Issue 3, p219
- ISSN
0042-1138
- Publication type
Article
- DOI
10.1159/000527277