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Record W2058539597 · doi:10.1177/0145445507301132

Efficacy of Cognitive-Behavioral Therapy for Comorbid Panic Disorder With Agoraphobia and Generalized Anxiety Disorder

2007· article· en· W2058539597 on OpenAlexaff
Joane Labrecque, André Marchand, Michel J. Dugas, Andrée Letarte

Bibliographic record

VenueBehavior Modification · 2007
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsConcordia UniversityHôpital du Sacré-Cœur de MontréalInstitut universitaire en santé mentale de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsAgoraphobiaGeneralized anxiety disorderPanic disorderPsychologyCognitive behavioral therapyAnxietyAnxiety disorderClinical psychologyCognitionCognitive therapyPsychotherapistMajor depressive disorderPsychiatry

Abstract

fetched live from OpenAlex

The goal of this study was to evaluate the efficacy of cognitive-behavioral therapy for comorbid panic disorder with agoraphobia (PDA) and generalized anxiety disorder (GAD) by combining treatment strategies for both disorders. A single-case, multiple-baseline design across participants was used. Three participants with primary PDA and secondary GAD took part in the study. The efficacy of the treatment was assessed by means of a structured interview, self-administered questionnaires, and daily self-monitoring measures. After treatment, 2 of the 3 participants achieved high end-state functioning and maintained this level of functioning at 3-, 6-, and 12-month follow-ups. The third participant also improved but only reached high end-state functioning at 6-month follow-up. It therefore appears that the combined treatment is relatively effective for PDA-GAD comorbidity. Possible avenues for improving the treatment are suggested.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 head0.080
GPT teacher head0.401
Teacher spread0.321 · 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 designNon-randomized trial
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

Citations10
Published2007
Admission routes1
Has abstractyes

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