Pregnancy-related symphysis pubis dysfunction management and postpartum rehabilitation: two case reports.
Bibliographic record
Abstract
OBJECTIVE: Two case reports review the chiropractic treatment and rehabilitation management of Symphysis Pubis Dysfunction (SPD). CLINICAL FEATURES: Patient 1: a 35-year-old female presented at 30 weeks pregnant with severe left sided Symphysis Pubis Dysfunction and low back pain. Patient 2: a 33-year-old female also 30 weeks pregnant, presented with right sided Symphysis Pubis Dysfunction and sacroiliac pain. INTERVENTION AND OUTCOME: Treatment included soft tissue therapy, pregnancy support belt, side-lying mobilizations, pelvic blocks and instrument-assisted pubic symphysis adjustments. Home advice included: ice, staying active, moving as a unit, stretching, use of a pillow between the knees while sleeping, regular breaks from sitting and pelvic floor (Kegel) exercises. Both patients reported some relief with treatment and home care. Post-partum, rehabilitation exercises were prescribed to restore muscular endurance, control and pelvic stability. On long-term follow-up patient 1 reported no pubic symphysis pain, but some low back pain secondary to a subsequent knee injury. Patient 2 reported being mostly pain free with a rare re-exacerbation of pubic symphysis pain. SUMMARY: Conservative chiropractic management appears to reduce pain and improve mobility and function for SPD. Post partum rehabilitation of the associated lumbo-pelvic musculature with specific stabilization exercises is recommended to reduce pain, improve long term outcomes and prevent chronicity.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".