Anterior head translation following cervical fusion—a probable cause of post-surgical pain and impairment: a CBP<sup>®</sup> case report
Bibliographic record
Abstract
Purpose] To present the case of the dramatic reduction in pain, disability, and neurologic symptoms following the reduction of forward head translation and increased cervical curvature in a patient suffering from post-surgical radiculopathy.[Subject and Methods] A 52-year-old male mechanic presented with chronic neck pain, unilateral paresthesia along the C5 and C6 dermatome distributions and diminished unilateral grip strength for 12 years following a C5-C6 cervical discectomy and fusion.Outcome measures included the neck disability index, the numerical pain rating scale, and the Zebris cervical range of motion system.Radiographs and computerized posture analysis revealed excessive forward head posture.Initial traditional 'symptom-relief' chiropractic rehabilitation was provided, followed by CBP ® structural rehabilitation of head and neck posture with a 2.5 year followup.[Results] The initial traditional chiropractic rehabilitation did not improve posture or disability scores.CBP methods resulted in radiograph-verified postural alignment improvements corresponding with clinically significant improvements in the patient's neurologic condition, pain and disability scores.These results were maintained at a 2.5 year follow-up with minimal treatment.[Conclusion] Patients with post-surgical axial symptoms and/or radicular complaints should be screened for altered cervical alignment and anterior head translation.Future studies should attempt to duplicate these positive results in a trial with long-term follow-up.
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| 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".