Association of the<i>APOE-ε4</i>allele with outcome of traumatic brain injury in children and youth: a meta-analysis and meta-regression
Bibliographic record
Abstract
OBJECTIVE: To disentangle the temporal relationship between the APOE-ε4 allele and outcomes of paediatric traumatic brain injury (TBI). METHODS: PubMed, EMBASE, Web of Science, MEDLINE, PsychINFO and HuGE Navigator Genopedia databases were searched from their inception up to January 2015 without language limitations. Included studies were analysed under a dominant genetic model to assess the association between the APOE-ε4 allele and poor outcomes of paediatric TBI at 6 months. Meta-regression was used to assess trends over time. RESULTS: Of the 325 initially identified records, 6 studies were selected and analysed based on inclusion/exclusion criteria. A total of 358 cases of paediatric TBI were included. 2 studies assessed outcomes at multiple time points ranging from 3 to 36 months; 4 studies assessed outcomes at a single time point (either 6 or 12 months). At 6 months, there is 2.36 (95% CI 1.26 to 4.42; p=0.007) times higher odds of poor outcome following TBI in children with at least one APOE-ε4 allele, compared with the children without. Further, the adjusted odds suggested an increasing trend of 7% per month (95% CI -9 to 25; p=0.359). CONCLUSIONS: This meta-analysis provides cumulative evidence that the APOE-ε4 allele is important to the prognosis of paediatric TBI, but may have a different effect compared with adult TBI; moreover, this effect may be time dependent.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".