Rating specific chiropractic technique procedures for common low back conditions
Bibliographic record
Abstract
OBJECTIVE: To rate specific chiropractic technique procedures used in the treatment of common low back conditions. DESIGN AND METHODS: A panel of chiropractors rated specific chiropractic technique procedures for their effectiveness in the treatment of common low back conditions, based on the quality of supporting evidence after systematic literature reviews and expert clinical opinion. Statements related to the rating process and clinical practice were then developed through a facilitated nominal consensus process. RESULTS: For most low back conditions presented in this study, the three procedures rated most effective were high-velocity, low- amplitude (HVLA) with no drop table (side posture), distraction technique, and HVLA prone with drop table assist. The three rated least effective were upper cervical technique, non-thrust reflex/low force, and lower extremity adjusting. The four conditions rated most amenable to chiropractic treatment were noncomplicated low back pain, sacroiliac joint dysfunction, posterior joint/subluxation, and low back pain with buttock or leg pain. CONCLUSIONS: The ratings for the effectiveness of chiropractic technique procedures for the treatment of common low back conditions are not equal. Those procedures rated highest are supported by the highest quality of literature. Much more evidence is necessary for chiropractors to understand which procedures maximally benefit patients for which conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".