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Record W4403321213 · doi:10.1093/pch/pxae022

Anorexia nervosa with comorbid autism spectrum disorder: Optimizing care for youth, caregivers, and health care providers

2024· article· en· W4403321213 on OpenAlexaffabout
Alon Coret, Holly Agostino

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsAutism spectrum disorderAnorexia nervosaComorbidityPsychiatryEating disordersAutismPopulationMedicineHealth careClinical psychologyPsychologyEnvironmental health

Abstract

fetched live from OpenAlex

Youth with anorexia nervosa (AN) have been reported to have high levels of comorbid autism spectrum disorder (ASD) and ASD-like traits suggesting a potential shared underlying neurodevelopmental or genetic link between the disorders. Youth with comorbid AN and ASD symptomatology generally require more intensive treatment and have worse psychological outcomes following treatment. To date, no Canadian national guidelines exist for the treatment of this comorbidity. An informal survey of tertiary paediatric eating disorder programs across Canada revealed that centres do not routinely screen for ASD at intake and few offer any treatment modifications for youth with AN and suspected/diagnosed comorbid ASD. This represents a significant care gap for this clinical sub-population and an important area for future study and healthcare provider training.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.294
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes2
Has abstractyes

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