Transforming Treatment: The Impact of Bariatric Surgery on Oral Drug Absorption
Bibliographic record
Abstract
Obesity represents a significant threat to global public health, with an estimated 16% of adults worldwide (2022) being classified as people with obesity, with a body mass index of 30 or more. Bariatric surgery is regarded as the most effective treatment option for people with obesity, with the three main types of bariatric surgery being gastric bypass or Roux-en-Y gastric bypass, laparoscopic gastric band, and laparoscopic sleeve gastrectomy. Drug bioavailability after oral administration is affected by several factors including properties of the drug itself, formulation properties, and anatomical and physiological factors. Procedures such as gastric bypass and laparoscopic sleeve gastrectomy result in significant anatomical and physiological alterations thought to profoundly influence oral drug bioavailability postoperatively. Consequently, following bariatric surgery, there is a risk of subtherapeutic drug levels leading to treatment failure, or the risk of potential toxicity if levels are elevated. In this review, previously unexamined aspects such as the impact of the "very low-calorie diet" (VLCD) initiated prior to surgery on anatomical parameters and subsequent pharmacokinetic changes, are explored. This review also highlights alterations in hepatic and renal volume that are expected to have a significant impact on renal and hepatic clearance. A clearer understanding of the effect of physiological alterations and weight loss on drug performance after surgery would support more evidence-based medicines optimization in this frequently complex patient group.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".