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Record W2090095713 · doi:10.1136/ebmh.7.2.49

Family focused therapy is more effective than crisis management for preventing relapse after a bipolar episode

2004· letter· en· W2090095713 on OpenAlexaff
Ari Zaretsky

Bibliographic record

VenueEvidence-Based Mental Health · 2004
Typeletter
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychoeducationBipolar disorderWeb of scienceBipolar I disorderPediatricsInternal medicinePsychiatryManiaLithium (medication)Intervention (counseling)

Abstract

fetched live from OpenAlex

Miklowitz DJ, George EL, Richards JA, et al . A randomized study of family focused psychoeducation and pharmacotherapy in the outpatient management of bipolar disorder. Arch Gen Psych 2003;60:904–12.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q For outpatients with a recent bipolar episode, does family focused therapy reduce relapse and improve adherence to drug treatment compared with a less intensive crisis management intervention? ### ![Graphic][5] Design: Randomised controlled trial. ### ![Graphic][6] Allocation: Concealed. ### ![Graphic][7] Blinding: Participants and practitioners not blinded. Blinded observers assessed results for treatment adherence. ### ![Graphic][8] Follow up period: Up to 24 months. ### ![Graphic][9] Setting: Outpatient clinic, Colorado, USA. ### ![Graphic][10] Patients: 101 people (18–62 years; mean age 36 years; 64 women) with bipolar disorder episode (DSM IIIR and DSM IV, diagnosed by Structured Clinical Interview) within past 3 months; with family support. Exclusions: neurological or developmental … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BGeneral%2BPsychiatry%26rft.stitle%253DArch%2BGen%2BPsychiatry%26rft.aulast%253DMiklowitz%26rft.auinit1%253DD.%2BJ.%26rft.volume%253D60%26rft.issue%253D9%26rft.spage%253D904%26rft.epage%253D912%26rft.atitle%253DA%2BRandomized%2BStudy%2Bof%2BFamily-Focused%2BPsychoeducation%2Band%2BPharmacotherapy%2Bin%2Bthe%2BOutpatient%2BManagement%2Bof%2BBipolar%2BDisorder%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchpsyc.60.9.904%26rft_id%253Dinfo%253Apmid%252F12963672%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/external-ref?access_num=10.1001/archpsyc.60.9.904&link_type=DOI [3]: /lookup/external-ref?access_num=12963672&link_type=MED&atom=%2Febmental%2F7%2F2%2F49.atom [4]: /lookup/external-ref?access_num=000185155800007&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.001

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 head0.032
GPT teacher head0.326
Teacher spread0.294 · 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 designObservational
Domainnot available
GenreCommentary

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 routes1
Has abstractyes

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