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Record W206426146 · doi:10.1177/070674370304800704

Prophylaxis Latency and Outcome in Bipolar Disorders

2003· review· en· W206426146 on OpenAlexvenueno aff
Christopher Baethge, Leonardo Tondo, Irene M Bratti, Tom Bschor, Michael Bauer, Adele C. Viguera, Ross J. Baldessarini

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2003
Typereview
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsLatency (audio)MedicineBipolar disorderMoodMood disordersLatency stageMood stabilizerPsychiatryProphylactic treatmentPediatricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To analyze new and reviewed findings to evaluate relations between treatment response and latency from onset of bipolar disorder (BD) to the start of mood-stabilizer prophylaxis. METHOD: We analyzed our own new data and added findings from research reports identified by computerized searching. RESULTS: We found 11 relevant studies, involving 1485 adult patients diagnosed primarily with BD. Reported latency to prophylaxis averaged 9.6 years (SD 1.3), and follow-up in treatment averaged 5.4 years (SD 3.1). Greater illness intensity and shorter treatment latency were closely associated, resulting in a greater apparent reduction in morbidity with earlier treatment. However, this finding was not sustained after correction for pretreatment morbidity, and treatment latency did not predict morbidity during treatment. Therefore, assessments based on improvement with treatment, or without correction for pretreatment morbidity, can be misleading. CONCLUSIONS: Available evidence does not support the proposal that delayed prophylaxis may limit response to prophylactic treatment in BD and related disorders.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.302
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations72
Published2003
Admission routes1
Has abstractyes

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