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Record W1970973644 · doi:10.1037/a0013076

Group and individual treatment of obsessive-compulsive disorder using cognitive therapy and exposure plus response prevention: A 2-year follow-up of two randomized trials.

2008· article· en· W1970973644 on OpenAlexaff
Maureen L. Whittal, Melisa Robichaud, Dana S. Thordarson, Peter D. McLean

Bibliographic record

VenueJournal of Consulting and Clinical Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyRandomized controlled trialCognitionExposure and response preventionExposure therapyCognitive therapyClinical psychologyObsessive compulsiveCognitive behavioral therapyDepression (economics)PsychiatryAnxietyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Relatively little is known about the long-term durability of group treatments for obsessive-compulsive disorder (OCD) and contemporary cognitive treatments. The current study investigated the 2-year follow-up results for participants who completed randomized trials of group or individual treatment and received either cognitive therapy (CT) or exposure plus response prevention (ERP). Yale-Brown Obsessive Compulsive Scale (YBOCS) scores for individual ERP and CT were not significantly different over 2 years. However, YBOCS scores were consistently lower over time for group ERP participants than for group CT participants. With a single exception in the group treatment study, secondary cognitive and depression scores were stable, indicating that gains achieved during acute treatment were maintained over 2 years. Less than 10% of treatment completers relapsed in each of the treatment trials. Approximately 50% of the completer sample was rated as recovered at 2 years. Additionally, a tentative cross-study comparison suggests that CT was better tolerated and resulted in less dropout than did ERP. Despite the overall positive results, efficacy of OCD treatments has reached a plateau and may require a fresh perspective to move forward.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Randomized triallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Randomized triallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.005
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.002
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 head0.189
GPT teacher head0.467
Teacher spread0.278 · 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

Labeled directly by 2 models reading the full record.

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

Citations109
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Consulting and Clinical PsychologySame topicObsessive-Compulsive Spectrum DisordersFrench-language works237,207