Evaluation of the association of polymorphisms of the CYP2C8 gene with the efficacy and safety of ketorolac in patients with postoperative pain syndrome
Bibliographic record
Abstract
AIM: To evaluate the possible association of CYP2C8 gene polymorphisms with the clinical efficacy and safety of ketorolac in relation to postoperative pain. MATERIALS AND METHODS: The study included 107 patients after video laparoscopic cholecystectomy, who received ketorolac (30 mg 2.0 w/m 3 r/d) as postoperative pain relief. All patients were genotyped for CYP2C8. The pain syndrome was assessed using the visual analog scale, the McGill pain questionnaire. The profile of adverse reactions was assessed by the dynamics of red blood counts, as a possible trigger for the development of gastrointestinal bleeding according to the method of global assessment of triggers (Global Trigger Tool GTT). RESULTS: According to visual analog scale data: in carriers of the genotype CYP2C8*3 (rs10509681) and CYP2C8*3 (rs11572080) after 12, 24, 36, 48 hours the intensity of pain syndrome is lower than in carriers of the wild type (p0.05). According to the McGill pain questionnaire, there were no statistically significant differences in pain intensity between the two groups. CONCLUSION: In carriers of the genotype CYP2C8*3 (rs10509681) and CYP2C8*3 (rs11572080), the effectiveness of anesthesia with ketorolac is higher than in carriers of the wild type. Carriage of the genotype CYP2C8*3 (rs10509681) and CYP2C8*3 (rs10509681) does not affect the risk of developing adverse reactions after ketorolac anesthesia.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".