The impact of an ADHD co-morbidity on the diagnosis of FASD.
Bibliographic record
Abstract
OBJECTIVE: Many children with Fetal Alcohol Spectrum Disorders (FASD) also have co-morbid ADHD. The goal of this study was to examine the impact of having a co-morbid ADHD diagnosis on FASD diagnostic results. We compared children with FASD to those with FASD and co-morbid ADHD across the neurobehavioral domains recommended by the Canadian Guidelines in the diagnosis of FASD. METHODS: We retrospectively analyzed data from 52 children, aged 4 to 17 years, diagnosed with an FASD at a hospital FASD clinic. Thirty-three of these children had a co-morbid diagnosis of ADHD and 19 did not. Children with FASD and those with FASD and co-morbid ADHD were compared on the following neurobehavioral domains: sensory/motor, cognition, communication, academic achievement, memory, executive functioning, attention, and adaptive behavior. RESULTS: Children with FASD and ADHD performed significantly worse than those without ADHD on attention but better on academic achievement. No other group differences were significant. CONCLUSIONS: Having an ADHD co-morbidity had little effect on the FASD diagnosis. The results of this project will inform the diagnostic process for FASD and have implications for standardizing diagnostic processes across clinics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".