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Record W1564861990 · doi:10.1192/bjp.bp.105.019869

Duration of untreated symptoms in common mental disorders: association with outcomes

2006· article· en· W1564861990 on OpenAlexafffund
Anita Scott, Jennifer Denney, Gregory E. Simon

Bibliographic record

VenueThe British Journal of Psychiatry · 2006
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsDalhousie University
FundersNova Scotia Health Research Foundation
KeywordsDuration (music)Association (psychology)MedicinePsychiatryPsychologyPediatricsPsychotherapistArt

Abstract

fetched live from OpenAlex

Studies have assessed the association between a longer duration of untreated symptoms and outcome for psychoses in specialist care. We investigated the effect of longer duration on the outcome of common psychiatric disorders in primary care, where most patients are treated. Patients presenting to primary care for new episodes in 10 countries were recruited into a prospective cohort study. Information on duration of untreated symptoms and psychosocial status was collected for 351 individuals using standardised instruments and this was repeated 1 year later. At 1-year follow-up, longer duration was associated with worse psychiatric outcome even after controlling for potential confounders.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.010
GPT teacher head0.321
Teacher spread0.312 · 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

Citations78
Published2006
Admission routes2
Has abstractyes

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