Responders to Cervical Facet Platelet-Rich Plasma Demonstrate Synergistic Improvements in Pain and Isometric Strength in Chronic Whiplash-Associated Disorders: A Series of Mediation Analyses
Bibliographic record
Abstract
Background/Objectives: Platelet-rich plasma (PRP) is emerging as a safe and effective treatment for facet-mediated pain. Studies have demonstrated reductions in pain and improvements in function, both in the short (3 months) and longer term (6 and 12 months). The mechanisms underlying clinical improvements are largely unknown. It is also unclear whether reported outcomes are due to the PRP administered or concurrently applied rehabilitation. Methods: A prospective case series was conducted in a single, multidisciplinary chronic pain centre. Forty-two participants with chronic WAD and cervical facet-mediated pain who received PRP (64% female; mean age (SD) 42.8 (11.6) years; median WAD duration [IQR] 23 [18,29] mths), attended rehabilitation, and reported successful outcomes 3 months post-PRP fulfilled the inclusion criteria. Measures of pain, cervical isometric strength, and range of motion were collected at baseline and 3 months post-PRP. Mediation analyses were performed to determine how these factors influenced disability. Results: Participants demonstrated clinically significant and relevant improvements in pain, disability, and isometric strength measures (all p < 0.01). Causative mediation analyses demonstrated independent direct, but not indirect, effects of both pain and strength on disability (both p < 0.001), with no direct or indirect effects of cervical ROM on disability.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".