Early Postpartum Perineal Repair or C-Section Suture Removal Reduces Pain Without Wound Complications [7J]
Bibliographic record
Abstract
INTRODUCTION: To describe postpartum sutures or staples related pain resolution and wound healing in patients with perineal repair or C-section who underwent early sutures or staples removal. METHODS: All patients in an outpatient obstetric clinic who delivered between June 1, 2016 to June 30, 2017 and received sutures or staples in wound closure were invited to participate in this prospective observational study of early sutures or staples removal by day four to seven postpartum. Pain scores were recorded for activities of standing, walking, and sitting from a preset scale of zero to five before and after sutures or staples removal. With six weeks postpartum visit, wound healing was evaluated. Pictures were taken from those who consented. RESULTS: A total of 68 participants were included in this prospective observational study. 52 participants underwent vaginal deliveries with perineal repair and 16 participants underwent C-sections prior to inclusion of this study. When pain scores were three or above, there was reduction of pain scores of two or more. Excellent wound healing was observed at six-week postpartum visits. CONCLUSION: Early sutures or staples removal in postpartum patients reduced pain without compromising wound healing. This suggests the utility of early sutures or staples removal in postpartum patients can reduce analgesic use and improve quality of life.
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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 | 0.000 | 0.003 |
| 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) | 0.000 | 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".