Post-concussion return to play and return to school guidelines for children and youth: a scoping methodology
Bibliographic record
Abstract
PURPOSE: The objective of this study was to identify and describe management strategies to ensure safe return to activity (RTA) and return to school (RTS) of children with mild traumatic brain injury (MTBI) and determine whether they are evidence-based. METHODS: A scoping methodology was conducted using research published between 1990 and 2013, gray literature and clinical expertise. Once the data had been charted, an expert panel of physicians and clinicians was consulted to inform and validate study findings. An analytical and thematic framework was used to examine the study findings. RESULTS: A total of 400 potentially relevant published articles, 100 websites and 24 iPad Applications were found. Ten articles and three web-based resources met inclusion criteria and were included in the final review. Nine articles recommended a more conservative approach to RTA, as well as identified a step-wise or severity-oriented approach. General recommendations were also found regarding safe RTS. One study recommended a stepwise RTS protocol for children. CONCLUSIONS: This scoping methodology determined that the most comprehensive guidelines for management are focused on adults. Evidence concerning prolonged recovery patterns in children and the impact of concussion on the developing brain suggests that pediatric-specific guidelines are needed for RTA and RTS after MTBI/concussion. IMPLICATIONS FOR REHABILITATION: Although concussion in children is an increasing concern, it has been determined that the most comprehensive guidelines for management are focused on adults. These guidelines are primarily consensus-based and are not proven fact through quality research. Evidence concerning prolonged recovery patterns in youth and the impact of concussion on the developing brain suggest that pediatric guidelines should be more conservative than for adults. Therefore, pediatric-specific guidelines need to be developed for return to activity and return to school after MTBI/concussion.
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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 | 0.089 | 0.160 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.050 | 0.036 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.004 | 0.002 |
| 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; 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".