Subjective and Objective Improvement in a 39-Year-Old Male Suffering From Severe Chronic Pain and Disability Using Chiropractic BioPhysics® Protocols Following Rear-Impact Motor Vehicle Crash With a 10-Month Long-Term Follow-Up
Bibliographic record
Abstract
We present the case of a patient receiving structural rehabilitation following a rear-impact motor vehicle collision (MVC). Medications did not alleviate the symptoms of the crash injuries. Resolution of injury-caused pain and disability was found following postural and structural rehabilitation treatment. A 39-year-old male was injured in a rear-impact collision between two very large vehicles. Severe migraine headaches, neck pain, and radiculopathy, as well as lower back pain, were the result of the crash. Patient-reported outcomes (PROs) demonstrated that the symptoms were causing severe disability and poor health-related quality of life (HRQoL) measures. Radiographs found spine alignment abnormalities consistent with rear impact MVC. Chiropractic Biophysics® (CBP®) structural rehabilitation was performed. Following a treatment regimen involving strengthening weakened and damaged muscles, postural and spinal traction, postural spinal manipulative therapy (SMT), and home therapies resulted in the resolution of the symptoms. All outcome measures demonstrated improvement, including Short-Form 36 question health questionnaire (SF-36), quadruple visual analog scale (QVAS), headache disability index (HDI), neck disability index (NDI), revised Oswestry disability index (RODI), as well as significant measured improvements found on radiographs. Spine pain and altered alignment are frequent results of MVCs. If left uncorrected, these abnormalities increase the likelihood of chronic pain and disability. Combined low back pain (LBP), neck pain (NP), headache (HA), and radiculopathy, as found in our subject, significantly pre-dispose the individual to poor HRQoL, years lived with disability (YLDs) and increased the global burden of disease (GBD). Physicians who treat injured patients should have a repeatable, reliable, valid, and efficacious method to reduce pain, increase range of motion (ROM), improve spine alignment, and improve the performance of activities of daily living (ADLs). Further, larger studies of injured patients are necessary to determine if the CBP® protocol reduces GBD caused by MVC injuries.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".