Opportunistic computed tomography-based sarcopenia screening and mortality after liver transplantation: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the diagnosis of sarcopenia in chronic liver disease by opportunistic computed tomography screening using the Psoas Muscle Index method as a predictor of mortality after liver transplantation. METHODS: We systematically searched PubMed, Scopus, and Cochrane Central Register of Controlled Trials from July 2014 to July 2024. We restricted inclusion in this meta-analysis to observational studies and clinical trials on adult patients with chronic liver disease diagnosed with sarcopenia by computed tomography undergoing liver transplantation or on a waiting list. We included the one with a larger sample size for studies with overlapping populations. We excluded studies with therapeutic interventions, animal experiments, cell-line studies, editorial pieces, commentaries, review articles, and case reports. RESULTS: After the removal of duplicate records and ineligible studies, 163 remained and were thoroughly reviewed based on inclusion criteria. Of these, a total of 11 studies were included in qualitative synthesis and four studies were included in quantitative analysis (meta-analysis), comprising 382 patients. Patients with muscle mass loss after liver transplantation diagnosed by computed tomography scan using the Psoas Muscle Index method had a 4.1 times higher risk of death than non-sarcopenic patients (random-effects model: OR 4.1386; 95%CI 2.4215-7.0730; p<0.0001). Interpretatively, a scale with an I2 value close to 0% indicates no heterogeneity. The other criteria also did not reject the hypothesis of homogeneity among the articles. CONCLUSIONS: Patients with muscle mass loss diagnosed by computed tomography using the Psoas Muscle Index method had a fourfold increased mortality risk after transplantation. The findings reinforce the need to identify sarcopenic patients preoperatively to optimize liver transplantation outcomes. Using the Psoas Muscle Index, an opportunistic diagnosis by computed tomography scan can be helpful in this setting.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".