Poster 154 Physical Examination Changes Over the First 6 Months After Motor Vehicle Collisions
Bibliographic record
Abstract
D. A. Kumbhare, none. To provide interim results from an ongoing study on the natural history of soft-tissue pain and injury after motor vehicle accidents. Observational study. Emergency department and physical medicine acute injury clinic in a teaching hospital in Hamilton, Ontario, Canada. Nineteen adults (11 women, 8 men) assessed within 2 weeks of a motor vehicle accident. The clinical examination included goniometer ranges in the cervical spine and shoulders, and palpation tenderness (scaled 0, 1, 2). Range of motion was contrasted with normal values to examine impairment in 3 cervical planes and 3 shoulder planes. Outcome measures included follow-up physical examination by using standardized impairment scores, as well as Likert scale pain, and pain diagrams. Changes over time were analyzed by correlated t-tests. All outcome measures except tenderness showed statistically significant improvements (P<.05). Mean (standard deviation [SD]) acute neck pain was 3.4±1.4 on a 0-6 numeric scale, with 25%±23% of body surface in pain, and 2.3±1.7 of 11 tender points. Average improvements at 6 months were only 21% for pain, 30% for anatomical distribution, and mean (SD) tenderness worsened slightly from 2.8±3.1 to 3.1±4.2 tender points. In the acute stage, 11 of 19 had impairment in all 3 cervical planes and 9 of 19 had impairment in shoulder flexion or abduction. At 6 months, this had improved to 8 of 19 and 4 of 19, respectively. Seven (37%) were not working at 2 weeks, but only 3 (16%) were off work at 6 months. Of these 3, 1 was not working before the accident, 1 had the only detected tear (close to full-thickness supraspinatus), and 1 could not obtain modified work. In conclusion, within the clinical range studied, the findings suggest that, although improvement was detectable statistically, there was only modest clinical improvement in pain and movement, with best improvement in shoulder ranges. Despite only modest physical improvement, the majority of individuals returned to work.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".