ReviewCureus2025
The Role of Sarcopenia and Body Composition in Lung Transplant Candidates: A Review.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CT-derived body composition metrics such as skeletal muscle index (SMI), pectoralis muscle index (PMI), muscle radiation attenuation (MRA), and visceral fat area (VFA) have emerged as promising prognostic tools in lung transplant candidates. This systematic review evaluates their utility in pre- and post-transplant risk assessment and rehabilitation through a detailed literature search of PubMed, Google Scholar, and Excerpta Medica Database (EMBASE), identifying 21 relevant studies. Reduced muscular area (SMI) and quality (MRA) were associated with increased mortality, prolonged mechanical ventilation, and extended ICU stay, while low MRA correlated with higher rates of infection and graft dysfunction. Elevated VFA was linked to increased metabolic complications, and composite phenotypes such as sarcopenic obesity conferred additional risk. These findings suggest that CT-derived body composition metrics provide valuable, objective insights for transplant risk stratification and recovery. Standardized imaging protocols and integration with functional assessments are needed to support their widespread clinical adoption and optimize outcomes for high-risk lung transplant candidates.
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Registered trials
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