Chiropractic care of a patient with vertebral subluxation and Bell’s palsy
Bibliographic record
Abstract
OBJECTIVE: To describe the chiropractic care of a patient medically diagnosed with Bell's palsy and discuss issues clinically relevant to this disorder, such as its epidemiology, etiology, diagnosis, care, and prognosis. CLINICAL FEATURES: A 49-year-old woman with a medical diagnosis of Bell's palsy sought chiropractic care. Her symptoms included right facial paralysis, extreme phonophobia, pain in the right temporomandibular joint (TMJ), and neck pain. Signs of cervical vertebral and TMJ subluxations included edema, tenderness, asymmetry of motion and posture, and malalignment detected from plain film radiographs. INTERVENTION AND OUTCOME: The patient was cared for with full spine contact-specific, high-velocity, low-amplitude adjustments (Gonstead Technique) to sites of vertebral and occipital subluxations. The patient's left TMJ was also adjusted. The initial symptomatic response to care was positive, and the patient made continued improvements during the 6 months of care. CONCLUSION: There are indications that patients suffering from Bell's palsy may benefit from a holistic chiropractic approach that not only includes a focus of examination and care of the primary regional areas of complaint (eg, face, TMJ) but also potentially from significant vertebral subluxation concomitants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".