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Record W2972827181 · doi:10.1521/bumc.2019.83.3.326

Update on the effectiveness of psychotherapy for anxiety disorders in children and adolescents with ASD

2019· review· en· W2972827181 on OpenAlexaff
Michelle C. Hunsche, Connor M. Kerns

Bibliographic record

VenueBulletin of the Menninger Clinic · 2019
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAnxietyAutismPsychologyClinical psychologyCognitionPsychotherapistCognitive behavioral therapyAutism spectrum disorderPsychiatry

Abstract

fetched live from OpenAlex

A growing body of research has examined the efficacy of varying formats (individual, group, linear, modular) of cognitive-behavioral therapy (CBT) as a treatment for anxiety disorders in children and youth with autism spectrum disorders (ASD). The present review utilized Chambless and Hollon's (1998) criteria for efficacious treatments to: (1) critically review the current evidence base for the efficacy of CBT for anxiety disorders in ASD; and (2) provide recommendations for future research. Findings identify two probably efficacious CBT programs (one group and one individual program) and five possibly efficacious programs, but no well-established programs. Similarities and differences in the components of these programs, which range from unmodified to specifically developed for ASD populations, are highlighted. In addition, the steps required to demonstrate well-established efficacy, and ultimately effectiveness, are discussed alongside other recommendations for refined future research.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.347
Teacher spread0.312 · 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 designNot applicable
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

Citations24
Published2019
Admission routes1
Has abstractyes

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