Psychological outcomes in paediatric major trauma patients who require invasive management: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Paediatric major trauma patients with more severe injuries and physiological or biochemical abnormalities as a result of the injury are more likely to require invasive management in the form of an operation/interventional radiology (IR). Adverse psychological outcomes, such as post-traumatic stress disorder, anxiety, depression and adjustment disorder, are frequently observed in paediatric patients with major trauma. Similarly, it is recognised that children and adolescents who have invasive management are also at an increased risk of adverse psychological outcomes. However, it is not known to what extent major trauma patients requiring invasive management are at risk of adverse psychological outcomes compared with those managed conservatively. This study aims to determine whether paediatric major trauma patients who require an operation/IR have increased odds of having an adverse psychological outcome compared with those who are managed conservatively. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines will be used to construct this review. The databases Medline (via Ovid), Embase (via Ovid), PsycInfo (via Ebscohost) and Cinahl (via Ebscohost) will be searched from inception to February 2025. Both title and abstract screening and full-text screening will be done by two reviewers, with an adjudicating third reviewer. For randomised controlled trials, the Cochrane Risk of Bias Tool will be employed, while for non-randomised studies, the Newcastle-Ottawa Quality Assessment Scale will be used. We will assess bias using contoured funnel plots (with p set at 0.01, 0.05 and 0.10), non-parametric trim-fill analysis, leave-one-out analysis and Galbraith plotting. We will execute formal (Egger) testing for funnel plot asymmetry and also calculate prediction intervals if sufficient study N of 10 is accrued. Certainty and confidence in cumulative evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. ETHICS AND DISSEMINATION: Ethical review is not required as no original data will be collected. Results will be disseminated through peer-reviewed publications and at academic conferences. PROSPERO REGISTRATION NUMBER: CRD42025643459.
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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 | 0.053 | 0.087 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.028 | 0.035 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.045 | 0.004 |
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".