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Targeted psychosocial interventions for bipolar disorder

2003· review· en· W2130033730 on OpenAlexaff
Ari Zaretsky

Bibliographic record

VenueBipolar Disorders · 2003
Typereview
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychoeducationPsychosocialBipolar disorderPsychological interventionMoodPsychologyManiaPharmacotherapyDysfunctional familyPsychiatryClinical psychologyBipolar I disorderMedicinePsychotherapist

Abstract

fetched live from OpenAlex

Pharmacotherapy is the foundation of treatment for bipolar disorder, but research suggests that adjunctive psychosocial interventions that are manualized, reproducible, time-limited, empirically supported, and strategically target a number of critical domains, can efficiently provide additional benefits. Psychoeducation as an adjunct of pharmacotherapy may be beneficial, but questions remain about the utility of this treatment for patients who are already compliant with medication treatment. Family educational interventions have demonstrated encouraging results in relapse prevention, but follow-up data are limited and application to patients who have limited social networks may be problematic. Reports on interpersonal and social rhythm therapy in patients with bipolar disorder are scarce, and what is available shows no differential effect on time to remission or relapse, but a significant impact on subsyndromal symptoms. Follow-up data suggest that patients receiving cognitive behavior therapy have significantly fewer bipolar episodes, shorter episodes, fewer hospitalizations, and less subsyndromal mood symptoms. It is unclear, however, if cognitive behavior therapy is superior to other active psychosocial treatments and whether its mechanism in patients with bipolar disorder is through changing dysfunctional cognitions or simply enhancing early symptom detection. Psychotherapies should be considered early in the course of illness to improve medication compliance and to help patients identify prodromes of relapse in order to take steps for prevention. In addition, some strategies may have a beneficial effect on residual symptoms, particularly symptoms of depression, and thus help move patients toward a more comprehensive functional recovery.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.371
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations52
Published2003
Admission routes1
Has abstractyes

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