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One‐year outcome with antidepressant – treatment of bipolar depression

2005· article· en· W2058445857 on OpenAlexaff
Russell T. Joffe, Glenda MacQueen, Michael Marriott, L. Trevor Young

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2005
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoMcMaster University
Fundersnot available
KeywordsAntidepressantManiaBipolar disorderDepression (economics)PsychiatryCohortMedicineInternal medicinePsychologyMoodAnxiety

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the risk of relapse into mania or depression with varying duration of antidepressant treatment in a cohort of 59 patients with bipolar disorder. METHOD: An open naturalistic evaluation using life charting methods of patients with 1 year follow-up, who responded to antidepressant treatment and who then less or more than 6 months of antidepressant treatment. RESULTS: Patients who received more than 6 months of antidepressant treatment were less likely to relapse into depression at follow-up of 1 year. There was no difference in relapse rates for mania in the different antidepressant treatment duration groups. Gender and bipolar subtype did not significantly affect relapse rates for depression or mania. CONCLUSION: Our data, taken with other studies, suggest that the duration of optimal antidepressant treatment in bipolar disorder must be further evaluated.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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)0.0020.000

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 head0.019
GPT teacher head0.289
Teacher spread0.270 · 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
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

Citations46
Published2005
Admission routes1
Has abstractyes

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