Depression Strongly Influences Postconcussion Symptom Reporting Following Mild Traumatic Brain Injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To examine the influence of depression on postconcussion symptom reporting in patients following mild traumatic brain injury (MTBI). PARTICIPANTS: Sixty patients referred to a specialty clinic following MTBI, 58 outpatients with Structured Clinical Interview for DSM-diagnosed depression, and 72 healthy community control participants. PROCEDURE: Participants with MTBI were divided into 2 subgroups on the basis of self-reported symptoms of depression (23 MTBI-depressed, 37 MTBI-not depressed). All participants completed a postconcussion symptom questionnaire. MAIN OUTCOME MEASURE: British Columbia Post-concussion Symptom Inventory. RESULTS: There were significant differences in total reported postconcussion symptoms among all 4 groups (all P < .002; Cohen's d = 0.68-3.24, large to very large effect sizes; MTBI-depressed > depressed outpatients > MTBI-no depression > healthy controls). There were significant differences in the number of symptoms endorsed (P < .05), with the highest number of symptoms endorsed by the MTBI-depressed group, followed by depressed outpatients, MTBI-no depression, and healthy controls. CONCLUSIONS: Patients who experience MTBIs and who have a postinjury recovery course complicated by significant depression report more postconcussion symptoms, and more severe symptoms, than (a) outpatients with depression, and (b) patients with MTBIs who do not have significant symptoms of depression.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it