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Record W2319508658

The impact of an ADHD co-morbidity on the diagnosis of FASD.

2010· article· en· W2319508658 on OpenAlexaffabout
Carmen Rasmussen, Jennifer Benz, Jacqueline Pei, Gail Andrew, Gail Schuller, Lynne Abele-Webster, Connie Alton, Lindsay Lord

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFetal alcoholCognitionPediatricsPsychiatryClinical psychologyAlcohol
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.303
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations64
Published2010
Admission routes2
Has abstractyes

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