ArticleWorld journal of clinical cases2022
Prognostic value of computed tomography derived skeletal muscle mass index in lung cancer: A meta-analysis.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive role of pretreatment skeletal muscle mass index for long-term survival of bladder cancer patients: A meta-analysis.PloS one · 2023Pooled it
- Article
- Evaluation of nutritional parameters that may be associated with survival in patients with locally advanced non-small cell lung carcinoma receiving definitive concurrent chemoradiotherapy: retrospective study conducted in a tertiary pulmonary hospital.Japanese journal of radiology · 2025Article
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4 authors.
Funding
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Abstract
backgroundThe prognostic role of the skeletal muscle mass index (SMI) derived from computed tomography (CT) imaging been well verified in several types of cancers. However, whether the SMI could serve as a reliable and valuable predictor of long-term survival in lung cancer patients remains unclear.
aimTo identify the prognostic value of the CT-derived SMI in lung cancer patients.
methodsThe PubMed, Web of Science, and Embase electronic databases were searched up to November 5, 2021 for relevant studies. The Reference Citation Analysis databases were used during the literature searching and selection. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association of the SMI with the overall survival (OS) of lung cancer patients. All statistical analyses were performed with STATA 12.0 software.
resultsA total of 12 studies involving 3002 patients were included. The pooled results demonstrated that a lower SMI was significantly related to poorer OS (HR = 1.23, 95%CI: 1.11-1.37,
conclusionThe CT-derived SMI is a novel and valuable prognostic indicator in lung cancer and might contribute to the clinical management and treatment of lung cancer patients.
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