Intrathecal Morphine for Postpartum Tubal Ligation Postoperative Analgesia
Bibliographic record
Abstract
UNLABELLED: Intrathecal morphine (ITM) provides effective postoperative cesarean delivery analgesia but has not been reported for postoperative postpartum tubal ligation (PPTL) analgesia. We designed this prospective, randomized, double-blinded study to determine the efficacy of 100 microg ITM for postoperative PPTL analgesia. Sixty-six women received spinal anesthesia with 60 mg (1.2 mL) of 5% hyperbaric lidocaine, 10 microg (0.2 mL) of fentanyl, and either 0.2 mL of 0.9% saline (normal saline; NS) or 100 microg (0.2 mL) of morphine (morphine sulfate, MS). Postoperative analgesia was limited to patient-controlled IV analgesia morphine. Six women (three NS and three MS) were excluded because of major protocol violations. Twenty-four-hour patient-controlled IV analgesia morphine use was (mean +/- SD) 39.6 +/- 19.6 mg in the NS group and 1.1 +/- 2.5 mg in the MS group (P < 0.0000001). Visual analog scale scores for crampy and incisional pain (rest and movement) were significantly higher in the NS group compared with the MS group at 4, 8, 12, and 24 h (P < 0.001). The adverse effect profile was similar between groups. Visual analog scale satisfaction scores (mean +/- SD) were 96.6 +/- 16.0 in the MS group and 84.2 +/- 23.6 in NS group (P < 0.05). The results of this study indicate that women experience significant postoperative pain after PPTL surgery, and this pain is effectively obviated by 100 microg ITM. IMPLICATIONS: This investigation documents the extent of the significant postoperative pain experienced by women after routine postpartum tubal ligation surgery and demonstrates the efficacy of a small dose (100 microg) of intrathecal morphine to obviate this pain with minimal adverse effects.
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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 | 0.001 |
| 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".