Prevalence of externalizing disorders and Autism Spectrum Disorders among children with Fetal Alcohol Spectrum Disorder: systematic review and meta-analysis
Bibliographic record
Abstract
Owing to their central nervous system impairments, children with Fetal Alcohol Spectrum Disorder (FASD) commonly exhibit externalizing behaviours such as hyperactivity, impulsivity, and (or) delinquency. The purpose of this study was to estimate the prevalence of neurodevelopmental disorders with prominent externalizing behaviours, namely Attention-Deficit Hyperactivity Disorder (ADHD), Conduct Disorder (CD), Oppositional Defiant Disorder (ODD), as well as Autism Spectrum Disorders (ASD) among children with FASD. A comprehensive systematic literature search was performed, followed by disorder-specific random-effects meta-analyses. Of the disorders investigated, ADHD was found to be the most common co-morbid disorder among children with FASD (52.9%), followed by ODD (12.9%), CD (7.0%), and ASD (2.6%). When compared with the general population of the USA, these rates are notably higher: 15 times higher for ADHD, 2 times higher for ASD, 3 times higher for CD, and 5 times higher for ODD. The results call attention to the need for identifying a distinct neurodevelopmental profile to aid in the accurate identification of children with FASD and the discrimination of FASD from certain idiopathic neurodevelopmental disorders.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.018 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".