The Effect of Concussion or Mild Traumatic Brain Injury on School Grades, National Examination Scores, and School Attendance: A Systematic Review
Bibliographic record
Abstract
Concussion often results in symptoms, including difficulty concentrating, focusing, and remembering, that are typically managed with cognitive and physical rest. Often, the school environment is not conducive to cognitive rest and may lead to worsening or prolonged symptoms that can contribute to impaired academic performance. The objective of the review was to identify and summarize literature concerning the effects of concussion or mild traumatic brain injury (mTBI) on academic outcomes. MEDLINE, Embase, Scopus, and CINAHL were searched until June 1, 2016. Studies must have been primary literature examining students enrolled in primary, secondary, or post-secondary education, have received a physician diagnosis of concussion or mTBI, and have post-injury academic outcomes assessed in numeric or alphabet grade/grade point average (GPA), school attendance records, or national examination scores. Data were extracted and checked by a second reviewer for accuracy and completeness. Nine studies were included. Among four studies that examined grades, one found a significant difference in pre- and post-grades only in the subject Afrikaans. Three examined national test scores and no significant differences were found between cases and controls. Four examined school absenteeism and found that students who developed post-concussion syndrome missed significantly more school days and took longer to return to school than students with extremity injuries. Although mTBI or concussion is associated with missed school, the results demonstrate minimal impact on school grades and national examination scores at a group level. Further research is needed to identify risk factors for impaired school functioning following mTBI and concussion in individual patients.
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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 | 0.011 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".