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Record W4414996496 · doi:10.1016/j.psycom.2025.100232

Duration of untreated illness in psychosis: conceptualising duration of the psychosis prodrome and duration of untreated psychosis in predicting outcome and refining early intervention

2025· article· en· W4414996496 on OpenAlexaff
John L. Waddington, Nnamdi Nkire, Anthony Kinsella, Vincent Russell, Mary Clarke

Bibliographic record

VenuePsychiatry Research Communications · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Alberta
FundersStanley Medical Research Institute
KeywordsdupProdromePsychosisDuration (music)Intervention (counseling)Schizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Within duration of untreated illness (DUI), longer duration of untreated psychosis (DUP) is reliably associated with greater impairment. Though influential in early intervention models, conceptual challenges endure: (i) Is longer duration of the psychosis prodrome (DPP), to include its early component preceding clinical high risk for psychosis (CHR-P), also associated with greater impairment? (ii) Do DPP and DUP constitute two independent processes or successive moieties of a common process within DUI (= DPP + DUP)? This review first describes the origins of these concepts, outlines the challenges and evaluates lead-time bias as a potentially fatal artefact in the association between DUP and outcome. Then, with DPP and DUP showing similar numerical characteristics across psychotic diagnoses, it describes studies indicating that longer DPP, like longer DUP, predicts greater severity of negative symptoms across these diagnoses. Thus, DPP and DUP appear to be not only successive moieties in quantifying DUI; they also share, at least in part, an association with the severity of this fundamental determinant of impairment, functional outcome and quality of life. On this basis, the processes underlying these associations appear to include, at least in part, dichotomisation of DUI at an imprecise threshold defined by a point of transition from DPP to DUP. While the greater non-specificity of early prodromal symptoms (i.e. pre-CHR-P) has been interpreted as favouring population-based public health measures rather than targeted interventions, recent findings relating to DPP suggest that its utility as a target for early intervention may require re-evaluation. • Untreated illness summates the psychosis prodrome and untreated psychosis • Durations of each moiety and their summation predict extent of impairment • Prodrome and psychosis are, in part, successive moieties in a common process • Early prodromal features may be under-appreciated targets for early intervention • Both targeted interventions and population-based measures are indicated

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)0.009
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.003
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 head0.069
GPT teacher head0.417
Teacher spread0.348 · 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 designTheoretical or conceptual
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

Citations4
Published2025
Admission routes1
Has abstractyes

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