The association between adverse childhood experiences and traumatic brain injury/concussion in adulthood: A scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Exposure to adverse childhood experiences (ACEs) is a significant risk factor for physical and mental illnesses later in life. Concussion or traumatic brain injury is a challenging condition where preinjury factors may interact to affect recovery. The association between ACEs and traumatic brain injury/concussion is not well mapped in any previous reviews of the literature. Using a scoping review methodology, the research question that will be addressed is: what is known from the existing literature about the association between ACEs and traumatic brain injury/concussion in adults? METHODS AND ANALYSIS: will be used. All original studies in English published since 2007 investigating ACEs and traumatic brain injury/concussion outcomes will be included with no limitations on study type. Literature search strategies will be developed using medical subject headings and text words related to ACEs and traumatic brain injury/concussions. Multiple electronic databases will be searched. Two independent reviewers will screen titles and abstracts for full-text review and full texts for final inclusion. Two independent reviewers will extract data on study characteristics for ACE exposure and traumatic brain injury/concussion outcomes. Extracted data will be summarised quantitatively using numerical counts and qualitatively using thematic analysis. DISSEMINATION: This review will identify knowledge gaps on the associations between ACEs and traumatic brain injury/concussion and promote further research. Knowledge translation will occur throughout the review process with dissemination of project findings to stakeholders at the local, national and international levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.083 | 0.068 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.015 | 0.013 |
| Bibliometrics | 0.019 | 0.014 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.063 | 0.014 |
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".