The Effects of Obesity on Drug Metabolism in Children
Bibliographic record
Abstract
Obesity in children is a significant clinical concern. There are many anecdotes and case studies regarding specific reactions of obese children to medications including therapeutic failure, adverse drug reactions and/or requirements for higher weight-adjusted dosing. There isis, however, a lack of basic and clinical data dissecting the mechanisms of these effects on pharmaceutical efficacy and safety. At present it is unknown how much of the difference in drug disposition in obese children can be attributed to obesity, to maturation or to an interaction between the two. Since a major determinant of drug disposition is hepatic metabolism, here we review how obesity alters hepatic drug disposition in children. Basic as well as clinical data summarizing the current knowledge of biochemical, physiological and clinical effects of pediatric obesity on drug disposition are considered. We conclude that there is a dire need for increased research into the direct effects of obesity on absorption, distribution, metabolism and excretion, as well as changes to pharmacokinetic parameters such as bioavailability and clearance. Increased effort in this area may elucidate the effects of obesity on clinical drug disposition with sufficient detail to provide better dosing guidelines where needed for children.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".