Is time of neck pain onset a prognostic factor in whiplash-associated disorders?
Bibliographic record
Abstract
Aims: One possible prognostic factor for whiplash-associated disorders which to date has not been investigated, is time of pain onset. We hypothesized that immediate onset of neck pain post-collision may indicate a different origin of the injury, with a prolonged recovery, compared to an injury with delayed onset of neck pain. Therefore, the aim was to investigate this in a prospective cohort study. Methods: Data was collected from insurance claimants (n = 1,308). Questionnaires at baseline provided information on time of neck pain onset, and potential confounders. Exposure was time of pain onset, trichotomized into; at the scene of the collision, 1-12 hours, and >12 hours post-collision. At a 6-month follow-up, pain-related disability was assessed with the pain disability index (PDI) and trichotomized into scores based on the median and the 75th percentile; PDI = 0, 1–18 and >18. Results: Twenty-eight percent of persons with pain onset at the scene of collision rated in the PDI >18 category at follow-up, compared to 21% respectively of those with onset 1–12 hours and those with onset >12 hours post collision. Persons with pain onset at the scene were more likely to rate PDI >18 compared to those with onset >12 hours post-collision. When adjusted for confounders, the result was attenuated and not statistically significant or 1.3 (95% CI; 0.8–2.2). Conclusion: Time of neck pain onset is not a prognostic factor in recovery from whiplash-associated disorders in this study. Further studies are warranted to confirm the results.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".