Chiropractic Care for Adults With Pregnancy-Related Low Back, Pelvic Girdle Pain, or Combination Pain: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to conduct a systematic review (SR) of the literature to assess the effectiveness of chiropractic care options commonly used for pregnancy-related low back pain (LBP), pelvic girdle pain (PGP), or combination pain for both experienced practitioners and students of chiropractic. METHODS: We included procedures that were commonly used by chiropractors and not requiring additional certifications. Outcomes were self-reported changes in pain or disability. We used the Scottish Intercollegiate Guideline Network checklists to assess outcomes. For strength of evidence, we used the adapted version of the US Preventive Services Task Force criteria as described in the UK report. RESULTS: Fifty articles were included from 18 SRs, 30 randomized controlled trials (RCTs), and 2 cohort studies. Pregnancy LBP (7 SRs and 12 RCTs): moderate, favorable evidence for electrotherapy and osteopathic manipulative therapy; inconclusive, favorable strength for chiropractic care, exercise, and support devices; and inconclusive, unclear strength for spinal manipulative therapy. Pregnancy PGP (4 SRs and 4 RCTs): inconclusive, favorable strength for exercise; and inconclusive, unclear evidence for patient education, information, and support devices. Pregnancy LBP or PGP (13 SRs and 12 RCTs): moderate, unclear evidence for complementary and alternative medicine; moderate, unclear evidence for exercise; inconclusive, favorable evidence for multimodal care, patient education, and physiotherapy; and inconclusive, unclear strength for spinal manipulative therapy, osteopathic manipulative therapy, and support devices. CONCLUSION: Although there is a lack of conclusive evidence, many of the interventions have moderate or unclear but favorable evidence.
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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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".