Intrathecal Meperidine Decreases Shivering During Cesarean Delivery Under Spinal Anesthesia
Bibliographic record
Abstract
UNLABELLED: Shivering associated with spinal anesthesia is uncomfortable and may interfere with monitoring. We performed this prospective, double-blinded, and randomized study to determine whether intrathecal meperidine (0.2 mg/kg) decreases the incidence and intensity of shivering after spinal anesthesia for cesarean delivery. Forty parturients scheduled for nonemergent cesarean delivery were enrolled in two groups. Spinal anesthesia consisted of hyperbaric bupivacaine (0.75%; 10.5 mg), morphine 0.15 mg, and, in the experimental group, meperidine (0.2 mg/kg) or, in the control group, normal saline. Data collection, including sensory block level, blood pressure, core temperature, and shivering intensity, was performed every minute for 10 min, every 3 min for 33 min, and then every 5 min until the sensory level receded to L4. Time to highest sensory level, maximum number of blocked segments, sensory and motor blockade regression, and systolic blood pressure showed no difference between groups. The incidence of shivering was less (P < 0.02) in the meperidine group, as was its intensity (P < 0.003). Intrathecal meperidine (0.2 mg/kg) is effective in reducing the incidence and intensity of shivering associated with spinal anesthesia for cesarean delivery. IMPLICATIONS: Previous studies have suggested that IV meperidine is helpful for treating intraoperative shivering. This study was undertaken to evaluate spinal meperidine and found that it decreases the incidence and intensity of shivering associated with spinal anesthesia for cesarean delivery.
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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) | 0.001 | 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".