Liver Allograft Cirrhosis, Retransplant, and Mortality Secondary to Recurrent Disease After Transplant for MASH: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Recurrent disease after liver transplant is well recognized for many diseases. Metabolic dysfunction-associated steatotic liver disease (MASLD) and steatohepatitis (MASH) are leading indications for liver transplant, and there is scarce knowledge about recurrence-related end outcomes such as retransplant and mortality. This project aims to assess the proportion of patients transplanted for MASH who develop recurrent disease and adverse clinical outcomes. METHODS: A systematic review and pooled proportions meta-analysis was performed by searching the following databases: MEDLINE, Embase, Scopus, Web of Science Core Collection, and Cochrane Library. Inclusion criteria were studies discussing adult patients with liver transplants secondary to MASH or presumed MASH with recurrent disease-related outcomes. Outcomes were assessed in time frames from <6 mo to ≥5 y. RESULTS: Of 5859 records, 40 were included (16 157 patients). Recurrent MASLD and MASH (28 studies each) occurred in frequencies of 35%-49% and 11%-24%, respectively. Fibrosis occurred in 4%-25% (13 studies). Recurrent disease-related cirrhosis (13 studies), graft failure (8 studies), and retransplant (9 studies) occurred in 0%-2%, 3%-9%, and 0%-1%, respectively. Recurrent disease-related hepatocellular carcinoma (1 study) and mortality (17 studies) both had a prevalence of 0%. Studies were of moderate or high quality using the Methodological Index for Non-Randomized Studies tool. CONCLUSIONS: Recurrent MASLD and MASH after liver transplant occur frequently, but adverse clinical outcomes due to disease recurrence are infrequent, maybe due to insufficient data on long-term follow-up. Long-term outcomes after transplantation for MASLD appear favorable; however, identifying those more likely to have progressive recurrent disease leading to adverse clinical outcomes may allow for pre- and posttransplant interventions to improve outcomes further.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".