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Record W2931336043 · doi:10.1097/yco.0000000000000457

Cognitive behavior therapy for child and adolescent anxiety disorders

2018· review· en· W2931336043 on OpenAlexaff
Einar Heiervang, Marianne Aalberg, Gro Janne Wergeland

Bibliographic record

VenueCurrent Opinion in Psychiatry · 2018
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental Health
Fundersnot available
KeywordsAnxietyCognitive behavioral therapyClinical psychologyCognitionPsychologyCognitive therapyMedicinePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To present an updated review of recent studies into the effect of cognitive behavior therapy (CBT) for anxiety disorders in children and adolescents, ways to increase access to therapy, and predictors and moderators of therapy effect. RECENT FINDINGS: The evidence base of CBT for anxiety disorders in children and adolescents continues to grow, demonstrating short and long-term efficacy and effectiveness. However, compared with active control conditions its effect appear to be modest; and a substantial percentage of youth do not show stable long-term remission. Standard CBT is often costly, with high noncompletion rates. New strategies to increase access to effective therapy for the large number of youth with anxiety disorders is therefore of priority. Additionally, there is a need for developing new ways to treat nonresponders, and to identify predictors and moderators of the effects of CBT. SUMMARY: Although there is evidence for the efficacy and effectiveness of CBT for youth with anxiety disorders, there is doubt regarding its superiority over active control comparisons. Long-term outcome is uncertain, as a substantial percentage of youth remains impaired at follow-up. It is essential to develop more cost-efficient strategies to reach youth with anxiety disorders with effective treatments, and to identify early indicators for youth needing additional therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.078
GPT teacher head0.414
Teacher spread0.336 · 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 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

Citations10
Published2018
Admission routes1
Has abstractyes

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