Anxiety Disorders in Children and Adolescents in the First Six Months After Traumatic Brain Injury
Bibliographic record
Abstract
The study's objective was to assess the nature, rate, predictive factors, and neuroimaging correlates of novel (new-onset) definite anxiety disorders and novel definite/subclinical anxiety disorders (in a broader group of children with at least subclinical anxiety disorders) after traumatic brain injury (TBI). Children with TBI from consecutive admissions to five trauma centers were enrolled and studied with psychiatric interviews soon after injury (baseline) and again 6 months post-injury. Novel definite anxiety disorder and novel definite/subclinical anxiety disorders were heterogeneous and occurred in 8.5% (N=12) and 17% (N=24) of participants, respectively, in the first 6 months after injury. Novel definite anxiety disorder was significantly associated with younger age at injury and tended to be associated with novel depressive disorder, as well as lesions of the superior frontal gyrus. Novel definite/subclinical anxiety disorder was significantly associated with concurrent psychiatric problems of personality change due to TBI and novel definite/subclinical depressive disorder, as well as with lesions of the superior frontal gyrus and a trend-association with frontal lobe white-matter lesions. These findings suggest that anxiety after childhood TBI may be part of a broader problem of affective dysregulation related to damaged dorsal frontal lobe and frontal white-matter systems, with younger children being at greatest risk for developing novel anxiety disorder after TBI.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".