Influence of PTGS1 gene polymorphisms on efficiency and safety of post-operative Ketorolac treatment of uncomplicated acute calculus cholecystitis
Bibliographic record
Abstract
Objective : The study aimed to evaluate the possible association of PTGS1 gene polymorphisms (rs10306135, rs12353214) with the clinical effi cacy 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 as postoperative pain relief 2.0 x 3 times a day. All patients were genotyped for PTGS1 (rs10306135, rs12353214). The pain syndrome was assessed using the Visual Analog scale (VAS), the McGill pain questionnaire. The profi le 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 (GTT). Results : According to the VAS and the McGill pain questionnaire, there were no statistically signifi cant diff erences in the intensity of pain between the two groups. There were also no statistically signifi cant diff erences in the dynamics of red blood counts. Conclusion : We did not fi nd an association between the carriage of the PTGS1 genotype (rs10306135, rs12353214) and the effectiveness of postoperative anesthesia with ketorolac, and we did not fi nd an association with 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) | 0.001 | 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".