Comparison of the Effect of Dry Cupping Therapy and Acupressure at BL23 Point on Intensity of Postpartum Perineal Pain Based on the Short Form of McGill Pain Questionnaire.
Bibliographic record
Abstract
BACKGROUND: Perineal pain is a major morbidity in the first few days after delivery. This study aimed to investigate the effect of dry cupping therapy and acupressure at BL23 point on the intensity of postpartum perineal pain based on the short-form of McGill pain questionnaire (SMPQ). METHODS: The present clinical trial was conducted on 150 subjects in 3 groups of 50 cases. After at least 4-8 hr of delivery, cupping therapy was performed for 15-20 min up to 3 times a week (once a day) and acupressure was performed for 15-20 min based on clockwise model. The short-form of McGill pain questionnaire was completed both before and after the intervention. The SPSS statistical software was used to analyze the data using repeated measures ANOVA. Besides, p<0.05 was considered statistically significant. RESULTS: In the cupping therapy group, mean of the perineal pain intensity reduced from 37.5±6.8 before the intervention to 11.1±6.1, 6.9±4.7, and 3.8±3.6 immediately, 24 hr, and 2 weeks after the intervention, respectively. The results of study showed that the differences between the intervention and control groups were statistically significant (p<0.01). Mean difference of the perineal pain intensity in the acupressure group reached from 35.6±8.1 before the intervention to 10.4±5.5 two weeks after the intervention, so the variation between intervention and control groups was statistically significant. CONCLUSION: The study findings showed that cupping therapy and acupressure reduced perineal pain. Therefore, they may be considered as effective treatments for reducing pain intensity of allowing delivery.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".