Whiplash: Pathophysiology, diagnosis, treatment, and prognosis
Bibliographic record
Abstract
We have reviewed the literature relevant to pathophysiology, diagnosis, treatment, and prognosis of whiplash-associated disorder (WAD) since 1995 and provided a brief summary of literature pertaining to forces action on the head and neck during a motor vehicle accident. The scope of the current review is confined to the Quebec guidelines for WAD grades 1-3 but excludes grade 4 (neck complaints and fracture or dislocation). After excluding papers without scientific data and single case reports or case series with fewer than 20 patients, articles were reviewed for methodological quality. The diagnosis remains clinical. No imaging, physiological, or psychological study provides specific diagnostic criteria. In the acute period up to 2 weeks, soft collars or rest and work-leave do not shorten the duration of neck pain. Sick leave is reduced by high-dose methylprednisolone given within 8 h of injury, but confirmatory studies examining the cost-benefit relationship are needed. In the first 6 months, active as opposed to passive treatment results in improved outcomes. Specific exercise strategies have not been studied. For those with symptoms lasting more than 6 months, percutaneous radio-frequency neurotomy can provide pain relief for many months in those responding to blind local anesthetic facet blocks. Intra-articular corticosteroids are ineffective. Uncontrolled trials suggest that multimodal rehabilitation programs result in improved overall function. The overall prognosis for recovery has varied considerably across studies. Such variability is likely due to differences in case identification methods and whether outcome is assessed in terms of symptoms or the receipt of financial compensation for injury. The impact on prognosis of both collision- and patient-related factors is also reviewed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".