Defining an approach for therapeutic strategies in metabolic dysfunction–associated steatotic liver disease after liver transplantation
Bibliographic record
Abstract
Occurrence of metabolic dysfunction-associated steatotic liver disease (MASLD) is common following liver transplantation (LT). MASLD can be classified as a recurrent disease when it occurs in patients receiving LT for metabolic dysfunction-associated steatohepatitis (MASH) or as de novo when it occurs in patients undergoing transplantation for non-metabolic dysfunction-associated steatohepatitis etiologies of liver disease. Fibrosis progression in patients with MASLD is accelerated, with progression to cirrhosis occurring more rapidly compared with the general (ie, non-LT) population. Moreover, the metabolic burden in LT recipients with MASLD is high and synergizes with liver disease to negatively affect the clinical course. Despite the oversized clinical burden of MASLD among LT recipients, there is currently a lack of regulatory approach and pathway for therapeutics development in this patient population. The present document, thus, provides guidance for therapeutics development that incorporates nuances of transplant care in patients with post-LT MASLD to facilitate drug development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".