Metabolic bariatric surgery, alcohol misuse and liver cirrhosis: a narrative review
Bibliographic record
Abstract
Bariatric surgery and liver cirrhosis have considerable overlap. Bariatric procedures intend to reduce metabolic dysfunction-associated steatotic liver disease (MASLD); however, these procedures are thought to increase the propensity for alcohol misuse. This may predispose the bariatric surgical patient to a new form of liver insult in the postoperative period. This review explores the complex relationship between obesity and alcohol misuse in the context of the bariatric surgical patient. There is evidence to support the safety of bariatric procedures in compensated cirrhotic patients, with an improvement of liver function and architecture. However, data suggest that after a two-year period, these patients exhibit an increased propensity for alcohol misuse postoperatively, particularly after sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) procedures. A paucity of evidence exists with respect to alcohol-induced liver dysfunction, or MASLD and increased alcohol intake (MetALD) in the post-bariatric surgery patient. This review aims to provide an overview of the current evidence and offer recommendations for further robust studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".