Variable, Not Always Persistent, Postconcussion Symptoms after Mild TBI in U.S. Military Service Members: A Five-Year Cross-Sectional Outcome Study
Bibliographic record
Abstract
This study examined postconcussion symptom reporting within the first 5 years after mild traumatic brain injury (mTBI). Participants were 167 U.S. military service members (mean age, 27.6 years; 74.3% blast; 96.4% male) who were evaluated subsequent to injuries sustained in theater during Operations Iraqi and Enduring Freedom (92.8%) or from other combat-related operations. Participants completed the Neurobehavioral Symptom Inventory and Post-Traumatic Stress Disorder Checklist within 3 months of injury and at least one follow-up telephone interview at 6 (n = 46), 12 (n = 89), 24 (n = 54), 36 (n = 42), 48 (n = 30), and/or 60 months (n = 25) postinjury. Approximately half of the sample (49.7%) met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) symptom criteria for postconcussion disorder (PCD) at baseline. At all six follow-ups, 46.1-72.0% met DSM-IV criteria for PCD. However, only 20.4-48.0% reported persistent PCD from baseline to follow-up. A substantial minority had also improved (4.0-24.1%) or "developed" new symptoms (16.9-27.8%). Using regression analyses, baseline symptoms were somewhat predictive of PCD symptom reporting at follow-up, though this was not always reliable. Follow-up for all service members who sustain a combat-related mTBI in the context of polytrauma, regardless of the presence or absence of symptom reporting in the acute recovery stage, should be considered the rule, not the exception.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".