The reduction of high thoracic scoliosis in adults by mirror image<sup>®</sup> blocking: a Chiropractic BioPhysics<sup>®</sup> case series
Bibliographic record
Abstract
[Purpose] A case series is featured demonstrating reduction of curvature in three adult patients who presented with a mild to moderate severity of a uniquely high thoracic curvature clinical presentation. [Participants and Methods] Three adult patients who presented with an upper thoracic scoliosis deformity of mild to moderate severity underwent Chiropractic BioPhysics® treatment protocols to treat their deformity. Radiographic stress imaging was performed to correctly position and ascertain potential treatment effect of the Denneroll spinal orthotic device. Patients performed spinal traction for 10–20 minutes daily with intermittent spinal manipulative therapy. [Results] There was a 4.5° average reduction in computerized Cobb angle measurement after treatment. All patients reported reductions in spinal pain and also reported subjective improvements in sleep quality and quality of life. [Conclusion] Mild reductions in uniquely high thoracic curves can be reduced in adult scoliosis patients with mild to moderate (17°–26°) curve magnitudes by CBP treatment protocols. Stress X-ray images are recommended to properly place the fulcrum and assess correction potential.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".