Alleviation of posttraumatic dizziness by restoration of the cervical lordosis: a CBP<sup>®</sup> case study with a one year follow-up
Bibliographic record
Abstract
[Purpose] To present the successful treatment of posttraumatic dizziness and neck pains that were initiated in a patient following a whiplash event. [Subject and Methods] A 46 year old male suffered a whiplash event that initiated neck pain and dizziness symptoms. The patient had many positive orthopedic findings and demonstrated a forward head posture and cervical hypolordosis. The patient was treated by Chiropractic BioPhysics® technique including cervical extension traction, extension exercises and spinal manipulative therapy initially three times a week for 16-weeks, and once a month thereafter. [Results] The patient had a resolution of daily dizziness and neck pain with a concomitant reduction of forward head translation and increase in cervical lordosis. The postural measures were further improved after one year of mostly home-care. [Conclusion] The cervical spine alignment may be an important biomarker for those with dizziness. The correction of cervical lordosis may be an essential requirement for superior clinical outcomes for those with posttraumatic dizziness.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".