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Record W2083317293 · doi:10.1002/ajmg.c.30140

Challenges of diagnosis in fetal alcohol syndrome and fetal alcohol spectrum disorder in the adult

2007· review· en· W2083317293 on OpenAlexaff
Albert E. Chudley, Andrea R. Kilgour, Meghan E Cranston

Bibliographic record

VenueAmerican Journal of Medical Genetics Part C Seminars in Medical Genetics · 2007
Typereview
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsManitoba HealthHealth Sciences CentreUniversity of ManitobaPublic Health Agency of Canada
Fundersnot available
KeywordsPsychopathologyFetal alcohol syndromePsychological interventionMedicinePsychiatryContext (archaeology)PopulationFetal Alcohol Spectrum DisorderNatural historyClinical psychologyPediatricsPsychologyEnvironmental healthPregnancy

Abstract

fetched live from OpenAlex

Adults with fetal alcohol syndrome (FAS) and the subsets of individuals with attenuated phenotype subsumed under the umbrella term of fetal alcohol spectrum disorder (FASD) provide clinicians with a challenge. Compounding this, FASD is different from most genetic syndromes since a specific diagnostic biological test is not available. The diagnosis first needs to be suspected and confirmation requires a diagnostic assessment that is best carried out in the context of a multi-disciplinary team approach. There is surprisingly little research published on the prevalence, natural history, medical, and social complications relevant to adults with FASD. The evidence that is emerging suggests that this disorder is common, and that services to diagnose and treat these individuals are limited. Adults with FASD have a higher incidence of impairments in social adaptive and executive function, and a higher degree of psychopathology when compared to the general population. The impact of FASD has significant and serious effects on those affected with FASD, their families, and our communities. There is a need for improved access to diagnosis, and more research and evaluation of interventions currently in use. In this paper, we describe the current diagnostic criteria, the differential diagnosis, the prevalence, natural history, the behavioral and mental health consequences, medical and social management issues, and interventions for adults affected with this disorder.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.005
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 head0.037
GPT teacher head0.360
Teacher spread0.323 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations75
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Medical Genetics Part C Seminars in Medical GeneticsSame topicPrenatal Substance Exposure EffectsFrench-language works237,207