The Relentless Progression of Metabolic Dysfunction–associated Steatotic Liver Disease in Liver Transplantation in Spain
Bibliographic record
Abstract
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized as a significant indication for liver transplantation (LT) in North America. Yet data on its impact in other countries, such as Spain, remain limited. This study aimed to evaluate the prevalence and trajectory of MASLD-related LT in Spain and compare these findings with broader national data and international data sets. METHODS: Multicenter retrospective cohort study including adults (18 y and older) undergoing LT for MASLD between 2010 and 2023 in 5 large Spanish centers. Additional data were obtained from the Spanish Transplant Registry (Organización Nacional de Trasplantes) and high-prevalence LT centers in the United States (n = 7) and Canada (n = 1). RESULTS: Among 3448 LTs performed in the 5 Spanish centers, 3.4% (n = 117) were MASLD-related. An increasing trajectory of MASLD-related LT was observed, with predictions suggesting a rise to 5.4%-10.8% of LTs for MASLD by 2028. These trends were consistent with Organización Nacional de Trasplantes data. Compared with North American data, the growth trajectory in Spain showed a less steep increase. Hepatocellular carcinoma rates were higher in the Spanish MASLD-LT recipients, yet metabolic comorbidities were frequent in all populations. CONCLUSIONS: The burden of MASLD-related LT in Spain is growing, yet at a less pronounced rate than in the United States/Canada. Whether this slower increase will persist or decline in the future as newer antiobesity and MASLD-related drugs are increasingly used is still unknown. In the meantime, our results highlight the need for tailored approaches to management and prevention in the Spanish population and underscore the importance of continued monitoring and research into the evolving impact of MASLD on LT in Spain and beyond.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".