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Record W2527966151 · doi:10.1177/1087054716671197

Efficacy of Cognitive Behavioral Therapy With and Without Medication for Adults With ADHD: A Randomized Clinical Trial

2016· article· en· W2527966151 on OpenAlexaff
Mariya V. Cherkasova, L French, Cassidy A. Syer, Lorne S. Cousins, Harry Galina, Yasaman Ahmadi-Kashani, Lily Hechtman

Bibliographic record

VenueJournal of Attention Disorders · 2016
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsConcordia UniversityMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsPsychologyRandomized controlled trialCognitive behavioral therapyClinical psychologyCognitionCoachingPsychiatryPhysical therapyMedicinePsychotherapistInternal medicine

Abstract

fetched live from OpenAlex

Objective: Recent trials have demonstrated efficacy of cognitive behavioral therapy (CBT) in medicated adults with ADHD. Efficacy of CBT in unmedicated versus medicated adults remains mostly unknown. We evaluated the effects of group CBT alone versus combined with medication on ADHD symptoms and functional outcomes in adult patients. Method: Eighty-eight adults with ADHD received 12 manualized group CBT sessions, accompanied by individual coaching, either without ( n = 46) or with ( n = 42) medication. Treatment effects were evaluated following treatment and 3-month and 6-month follow-up using un-blinded self-report and observer ratings. Results: CBT + medication resulted in greater improvements than CBT alone in ADHD symptoms, organizational skills, and self-esteem. Group differences diminished over follow-up, as the CBT alone group continued improving, while the combined group maintained the gains. Conclusion: CBT + medication outperformed CBT alone for ADHD symptoms, organizational skills, and self-esteem, although its superiority tended to decrease over follow-up.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.065
GPT teacher head0.415
Teacher spread0.350 · 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 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

Citations57
Published2016
Admission routes1
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207