Case Series on Chronic Whiplash RelatedNeck Pain Treated with IntraarticularZygapophysial Joint Regeneration InjectionTherapy
Bibliographic record
Abstract
BACKGROUND: Although in clinical use, there is only 1 published case report on the efficacy of intraarticular regeneration injection therapy (RIT) (a.k.a. prolotheraphy). This report supports a rationale for future clinical trials of this technique. OBJECTIVE: To assess the efficacy of intraarticular zygapophysial joint RIT in patients with chronic whiplash related neck pain that failed other conservative and interventional procedures. Patients were treated with intraarticular RIT and reassessed over 1 year. DESIGN: Retrospective case review of prospective data. MATERIALS AND METHODS: Eighteen consecutive patients were treated with intraarticular prolotherapy by placing 0.5 - 1mL of 20% dextrose solution into each zygapophysial joint, after confirmation of intraarticular location with radiographic contrast, using 25-gauge spinal needles and fluoroscopic guidance. Solution was prepared by diluting D50W with 1% lidocaine. RESULTS: Fifteen patients completed treatment. Three patients had bilateral treatment, leaving 18 sides for analysis. Mean Neck Disability Index (NDI) pre-treatment was 24.71 and decreased post-treatment to 14.21 (2 months), 13.45 (6 months), 10.94 (12 months). Average change NDI=13.77 (p<0.0001) baseline versus 12 months. Symptoms for 14 patients were from motor vehicle accident, of which 13 were in litigation. Patients attending physiotherapy over the course of treatment had better outcomes than those without physiotherapy. Women needed more injections (5.4) than men (3.2) p=0.0003. CONCLUSION: Intraarticular RIT improved pain and function in this case series. The procedure appears safe, more effective than periarticular RIT, and lasted as long, or longer, than those patients with previous radiofrequency neurotomy. Concurrent physiotherapy helped reduce post-procedure neck stiffness. Future trials should consider gender when deciding how many treatments to administer. Litigation was not a barrier to recovery.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".