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Record W1963904311 · doi:10.1136/ebn.7.2.52

Cognitive behavioural therapy improved benzodiazepine discontinuation in chronic insomnia

2004· letter· en· W1963904311 on OpenAlexaffabout
Diana E. McMillan

Bibliographic record

VenueEvidence-Based Nursing · 2004
Typeletter
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDiscontinuationMedicineBenzodiazepinePediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Baillargeon L, Landreville P, Verreault R, et al . Discontinuation of benzodiazepines among older insomniac adults treated with cognitive-behavioural therapy combined with gradual tapering: a randomized trial. CMAJ 2003;169:1015–20.[OpenUrl][1][Abstract/FREE Full Text][2] Q In older patients with chronic insomnia who have been taking a benzodiazepine nightly for ⩾3 months, is cognitive behavioural therapy plus tapering (CBTT) more effective than tapering alone (TA) for inducing benzodiazepine discontinuation? ### ![Graphic][3] Design: randomised controlled trial. ### ![Graphic][4] Allocation: not concealed. ### ![Graphic][5] Blinding: unblinded. ### ![Graphic][6] Follow up period: 12 months. ### ![Graphic][7] Setting: a university hospital in Sainte-Foy, Québec, Canada. ### ![Graphic][8] Patients: 65 patients ⩾50 years of age (mean age 67 y, 58% women) with chronic insomnia (⩾6 months); impaired daytime functioning or mood disturbances; nightly benzodiazepine use for ⩾3 months; and inability to refrain from taking a hypnotic for fear of poor sleep or reported <80% sleep efficiency (total sleep … [1]: {openurl}?query=rft.jtitle%253DCanadian%2BMedical%2BAssociation%2BJournal%26rft.stitle%253DCMAJ%26rft.aulast%253DBaillargeon%26rft.auinit1%253DL.%26rft.volume%253D169%26rft.issue%253D10%26rft.spage%253D1015%26rft.epage%253D1020%26rft.atitle%253DDiscontinuation%2Bof%2Bbenzodiazepines%2Bamong%2Bolder%2Binsomniac%2Badults%2Btreated%2Bwith%2Bcognitive-behavioural%2Btherapy%2Bcombined%2Bwith%2Bgradual%2Btapering%253A%2Ba%2Brandomized%2Btrial%26rft_id%253Dinfo%253Apmid%252F14609970%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=cmaj&resid=169/10/1015&atom=%2Febnurs%2F7%2F2%2F52.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif

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)0.002
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.058
GPT teacher head0.345
Teacher spread0.288 · 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

Citations0
Published2004
Admission routes2
Has abstractyes

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