Reducing Cervical Retrolisthesis With Long-Term Monthly Chiropractic Maintenance Care: A Case Report
Bibliographic record
Abstract
The present case study aimed to demonstrate the subtle effectiveness of 13-year chiropractic maintenance care (MC) in a patient with cervical radiculopathy associated with retrolisthesis. Retrolisthesis is the backward slippage of one vertebral body with respect to the subjacent vertebra. This slippage can lead to spinal nerve root compression or irritation (radiculopathy). A 44-year-old woman presented with relapsing episodes of pain in her neck radiating down her right arm and hand for 12 months. Neurological examination revealed sensory deficits in the right C5 dermatome. Cervical radiography showed grade 1 retrolisthesis of C3 on C4 and of C4 on C5, and sclerosis over the upper endplate of the C4, C5, and C6 vertebrae. The patient was diagnosed with right C5 radiculopathy associated with vertebral retrolisthesis. She was conservatively treated with multimodal chiropractic care comprising cervical manipulation applied to the affected segments, axial distraction, and isometric stretching. After 20 sessions over 3 months of therapy, the patient experienced complete relief of neck pain and radicular symptoms, and full cervical mobility. Because her complaints were characterized by relapsing episodes, she was enrolled in a monthly MC program to monitor and ensure the spine was functioning at its highest capacity. The MC program included disease monitoring, manipulation of dysfunctional segments, cervical strengthening exercises, and ergonomics coaching. Monthly care was shown to be successful in maintaining an asymptomatic status. Moreover, a gradual reduction in cervical retrolisthesis was observed during the 13-year MC period, and the ongoing MC ensured optimal spine functioning.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".