Ibuprofen versus acetaminophen with codeine for the relief of perineal pain after childbirth: a randomized controlled trial.
Bibliographic record
Abstract
BACKGROUND: Pain from episiotomy or tearing of perineal tissues during childbirth is often poorly treated and may be severe. This randomized double-blind controlled trial was performed to compare the effectiveness, side effects and cost of, and patient preference for, 2 analgesics for the management of postpartum perineal pain. METHODS: A total of 237 women who gave birth vaginally with episiotomy or a third- or fourth-degree tear between August 1995 and November 1996 at a tertiary-level teaching and referral centre for obstetric care in Vancouver were randomly assigned to receive either ibuprofen (400 mg) (n = 127) or acetaminophen (600 mg) with codeine (60 mg) and caffeine (15 mg) (Tylenol No. 3) (n = 110), both given orally every 4 hours as necessary. Pain ratings were recorded before the first dose and at 1, 2, 3, 4, 12 and 24 hours after the first dose on a 10-cm visual analogue scale. Side effects and overall opinion were assessed at 24 hours. RESULTS: Ibuprofen and acetaminophen with codeine had similar analgesic properties in the first 24 hours post partum (mean pain rating 3.4 and 3.3, mean number of doses in 24 hours 3.4 and 3.3, and proportion of treatment failures 13.8% [16/116] and 16.0% [16/100] respectively). Significantly fewer subjects in the ibuprofen group than in the acetaminophen with codeine group experienced side effects (52.4% v. 71.7%) (p = 0.006). There were no significant differences in overall patient satisfaction between the 2 groups. The major determinant of pain intensity was forceps-assisted delivery. Overall, 78% of the treatment failures were in women with forceps-assisted deliveries. INTERPRETATION: Since the 2 analgesics were rated similarly, ibuprofen may be the preferred choice because it is less expensive and requires less nursing time to dispense. Further studies need to address improved analgesia for women with forceps-assisted deliveries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.000 | 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 teacher head, 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".