Predictors of neuropsychological outcome after pediatric concussion.
Bibliographic record
Abstract
OBJECTIVE: Previous research suggests that neuropsychological outcome after pediatric concussion is determined by unmodifiable, preexisting factors. This study aimed to predict neuropsychological outcome after pediatric concussion by using a sufficiently large sample to explore a vast array of predictors. METHOD: A total of 311 children and adolescents (6-18 years old) with concussion were assessed in the emergency department to document acute symptomatology and to screen for cognitive functioning. At 4 and 12 weeks postinjury, they completed tests of intellectual functioning, attention/working memory, executive functions, verbal memory, processing speed, and fine motor abilities. Multiple hierarchical logistic and linear regressions were performed to assess the contribution of premorbid factors, acute symptoms, and acute cognitive screening (Standardized Assessment of Concussion-Child) to aspects of neuropsychological outcome: (a) cognitive inefficiency (defined using a modified Neuropsychological Impairment Rule; Beauchamp et al., 2015) and (b) neuropsychological performance (defined using principal component analysis). RESULTS: Neuropsychological impairment was present in 10.3% and 4.5% of participants at 4 and 12 weeks postinjury, respectively. At 4 weeks postinjury, cognitive inefficiency was predicted by premorbid factors and acute cognitive screening, whereas at 12 weeks it was predicted by acute symptoms. Neuropsychological performance at 4 weeks was predicted by a combination of premorbid factors, acute symptoms, and acute cognitive screening, whereas as at 12 weeks, only acute cognitive screening predicted performance. CONCLUSIONS: Neuropsychological outcome after pediatric concussion is not attributable solely to preexisting problems but is instead associated with a combination of preexisting and injury-related variables. Acute cognitive screening appears to be particularly useful in predicting neuropsychological status after concussion. (PsycINFO Database Record
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".