Utilization of chiropractic services in patients with osteoarthritis and spine pain at a publicly funded healthcare facility in Canada: A retrospective study
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is one of the most prevalent and disabling musculoskeletal diseases worldwide. There is preliminary evidence from experimental studies and consensus documents that chiropractic management may alleviate spine and/or extremity OA related pain in the short term. OBJECTIVE: This research explores the potential relationship of a pragmatic course of care, including soft tissue therapy, spinal manipulation, and other treatments commonly delivered by chiropractors, to spine and extremity pain in patients with OA. METHODS: A retrospective analysis of prospectively collected data from the chiropractic program at a publicly funded healthcare facility was conducted. The primary outcome measures for patients diagnosed with spine and/or extremity OA (n= 76) were numeric pain scores of each spinal and extremity region at baseline and discharge, and a change score was determined. RESULTS: Statistically significant improvements that exceed a clinically meaningful difference in pain numeric rating scale scores were demonstrated by point change reductions from baseline to discharge visits. Change scores exceeding a minimally clinically important difference of "2-points" were present in the sacroiliac (-2.91), extremity (-2.84), cervical (-2.73), thoracic (-2.61), and lumbar (-2.59) regions. CONCLUSION: Patients diagnosed with OA in a socioeconomically disadvantaged community demonstrated reductions in mean pain scores in both a clinically meaningful and statistically significant manner concurrent with a course of chiropractic care.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".