Perineal pain measurement in the immediate vaginal postpartum period
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Postpartum is a period where there are physiological changes in women’s body, and most of them suffer perineal trauma during the expulsion period, which may induce perineal pain and is considered the most common cause of postpartum morbidity. This study aimed at measuring perineal pain in the immediate vaginal postpartum period and the possible association with its risk factors. METHODS: Participated in the study 147 vaginal postpartum women in the period from September 2013 to May 2014. Data collection tools were personal data files, socio-demographic and clinical characteristics, McGill Pain Questionnaire and pain numerical scale. RESULTS: From all evaluated women, 76 (51.7%) reported pain in the immediate postpartum period. Among respondents with pain, 51 (67.1%) were primiparous, 71 (93.4%) had suffered some perineal trauma, 55 (72.3%) had babies weighing above 3 kg, and 41 (53.9%) were above 21 years of age. Mc Gill Pain Questionnaire sensory characteristics were the most commonly mentioned and pain was associated to episiotomy (p=0.002) and laceration (p=0.039). There has also been significant association between pain and parity (p=0.028). CONCLUSION: Pain was present in more than half the studied population, showing an association with variable parity and perineal trauma.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".