Pharmacogenetics of Opioids for the Treatment of Acute Maternal Pain During Pregnancy and Lactation
Bibliographic record
Abstract
There have been an increasing number of clinical studies investigating the relationship between interindividual genetic variability and the safety and efficacy of opioid analgesics. Despite the widespread use of opioids in pregnant and lactating women for the treatment of acute pain, few studies have investigated the interplay of genetic factors and pregnancy-related physiological alterations in relation to opioid metabolism and response. Some interesting avenues of research require further pursuit- including evidence of cytochrome P450 2D6 (CYP2D6) induction during pregnancy and its effect on the generation of the active opioid metabolites morphine, oxymorphone, O-desmethyltramadol, and hydromorphone following the administration of codeine, oxycodone, tramadol, and hydrocodone respectively. Studies investigating the duration of maternal CYP2D6 induction after delivery are also needed to shed light on genotype to phenotype correlations in breastfeeding mothers using opioid analgesics in the postpartum period.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".