Pediatric Traumatic Brain Injury in the Middle East and North Africa Region: A Systematic Review and Meta-Analysis to Assess Characteristics, Mechanisms, and Risk Factors
Bibliographic record
Abstract
Pediatric traumatic brain injury (pTBI) represents a major cause of child injuries in the Middle East and North Africa (MENA) region. This review aims to assess pTBIs in the MENA region and reports their clinical severity and outcomes. A search was conducted using major electronic databases, including Medline/Ovid, PubMed, EMBASE, Web of Science, and SCOPUS. Abstracts were screened independently and in duplicate to detect original research. The objective and study findings for each article were recorded, along with the mechanism of pTBI, patient age and sex, injury assessment tool(s) used, and outcome. A total of 1345 articles were retrieved, of which 152 met the criteria for full-text review, and 32 were included in this review. Males predominantly suffered from pTBIs (78%). Motor vehicle accidents, followed by child abuse, were the leading causes of pTBI. Overall, 0.39% of cases were mild, 0.58% moderate, 16.25% severe, and 82.27% unclassified. The mortality rate was 13.11%. Most studies used the computed tomography scan, Glasgow Coma Scale, Abbreviated Injury Scale, and Injury Severity Score as investigation methods. This review reports on the alarming rate of child-abuse-related pTBI and offers further understanding of pTBI-associated risk factors and insight into the development of strategies to reduce their occurrence, as well as policies to promote child well-being.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".