Effects of iliopsoas and piriformis muscle stretching along with Maitland's mobilizations in postpartum Coccydynia; A randomized control clinical trial
Bibliographic record
Abstract
Background: Childbirth is a well-known cause of Postpartum Coccydynia associated with pain and tenderness at the tip of the tailbone between buttocks and is a renowned source of maternal morbidity if left untreated. Objective: To explore effect of piriformis and iliopsoas muscle stretching along with mobilization of sacro-iliac joint and coccyx in patients suffering from postpartum Coccydynia. Methodology: In a randomized control clinical trial, fifty-six females with clinically diagnosed postpartum coccydynia were recruited and randomly divided into two groups G1=intervention group (n=28), G2=control group (n=28). All participants have similar characteristics in that they had >2 child deliveries, aged between 25-35 years, with a visual analogue scale ≥ 6 in a sitting position. The experimental group was treated with heat therapy (10 mints), along with piriformis and iliopsoas muscle stretching, Baseline measurements include the Intensity of pain measured by the visual analogue scale, tenderness by algometer, and duration of pain-free sitting. Post-treatment effects were measured after two weeks, and follow-up was carried out every month for three months to check the recurrence or continuous recovery. Results: The experimental group showed a significant improvement in pain intensity, pain pressure threshold and pain free sitting compared to the control group (p<0.05). Visual analogue scale 6.87±2.07 had improved 3.9±1.37 after treatment compared to the control group 6.87±1.9(pre study) to 6.2±1.8(post study). Conclusion: Stretching exercise, mobilization, and medicine (NSAIDs) were effective in relieving pain and complete recovery of postpartum Coccydynia.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".