Randomized Trial of 3 Techniques of Perineal Skin Closure During Second‐Degree Perineal Laceration Repair
Bibliographic record
Abstract
INTRODUCTION: Perineal lacerations during childbirth are common, and suturing the perineal skin during repair has been associated with increased postpartum pain. This study sought to test the hypothesis that no difference in postpartum perineal pain exists between 3 methods of skin closure for second-degree repair: suture, no suture, and surgical glue. METHODS: A single-blind randomized controlled trial of women after vaginal birth who had a second-degree perineal laceration was conducted at a tertiary care teaching hospital from August 2014 to April 2017. Women were randomized to perineal skin closure with suture, no suture, or surgical glue using a 1:1:1 allocation. Pain was assessed using the short-form McGill Pain Questionnaire, a 100-mm visual analog scale (VAS), and Present Pain Index (PPI) at one day, 2 weeks, 6 weeks, and 3 months postpartum. Wound healing was assessed at 6 weeks using the Redness, Edema, Ecchymosis, Drainage, Approximation (REEDA) scale. Pain scores were compared across groups using a chi-square test, Mann-Whitney U test, or analysis of variance where appropriate. RESULTS: A total of 35 women were randomized: 14 received suture, 11 had no suture, and 10 received surgical glue for perineal skin repair. Demographic characteristics were similar between groups. At 2 weeks postpartum, women with suture had higher median pain scores on the short-form McGill Pain Questionnaire (15.0 suture vs 2.0 glue vs 2.0 no suture, P = .03) and VAS (50.0 suture vs 3.0 glue vs 7.0 no suture, P = .02). Significant differences in pain were not seen on the PPI. At 3 months, women in the suture group had higher median pain scores on the short-form McGill Pain Questionnaire compared with surgical glue (1.0 vs 0, P = .04). Wound healing was similar across groups (REEDA score: 0 suture vs 1.0 no suture, vs 0 surgical glue, P = .24). DISCUSSION: Compared with no suture and surgical glue, suturing the perineal skin was associated with the highest postpartum pain scores.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".