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Record W2122320963 · doi:10.1586/14737175.2.2.203

New developments in pharmacotherapy of pediatric anxiety disorders

2002· article· en· W2122320963 on OpenAlexaff
Elizabeth Garland

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2002
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsAnxietyPsychiatrySocial anxietyPharmacotherapySerotonin reuptake inhibitorPsychologyAnti-Anxiety AgentsAtomoxetineClinical psychologyDepression (economics)AntidepressantMedicineAttention deficit hyperactivity disorderMethylphenidate

Abstract

fetched live from OpenAlex

Anxiety disorders affect about 10% of children and adolescents, are often chronic and impair psychological, academic and social functioning. Recent studies have clearly demonstrated the efficacy of selective serotonin reuptake inhibitors in young people with obsessive-compulsive disorder and mixed or generalized anxiety disorders. Evidence is emerging for effectiveness in social phobia and its variant, selective mutism. Since the effect size for selective serotonin reuptake inhibitors in anxiety greatly exceeds that in depression, studies with small numbers readily show superiority of medication over placebo. Hence, further positive studies are predicted in the next few years. As a result, the rate of prescription of selective serotonin reuptake inhibitors in young people has been rising and will continue to do so. These medications are well-tolerated, but motor and behavioral side effects are more common in young people. Long-term research and postmarketing surveillance are needed.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.042
GPT teacher head0.349
Teacher spread0.307 · 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
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

Citations0
Published2002
Admission routes1
Has abstractyes

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