Utilization and perspectives of weight loss medications in pediatric metabolic dysfunction‐associated steatotic liver disease
Bibliographic record
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing globally in pediatric populations. Currently, MASLD management primarily relies on lifestyle interventions, which pose challenges in sustaining long-term weight loss. This study investigated the use of weight loss medications in MASLD care through an international survey of 166 pediatric gastroenterologists and hepatologists. The results indicated a notable interest in weight loss medications, with 38% of practitioners considering or using them, particularly glucagon-like peptide-1 receptor agonists. However, the survey also revealed a tendency among clinicians to refer patients to specialists, emphasizing the potential gap between acknowledgment and prescription practices. Challenges include the lack of guidelines and uncertainty regarding side effects. The study highlights a pressing need for education, with over 90% of the respondents expressing an interest. Our study highlights the current management of MASLD, the potential role of pharmacotherapy, and highlights avenues for improved care and education in this dynamic field.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".