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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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.861

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
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 head0.069
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 teacher head, 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

Citations4
Published2025
Admission routes1
Has abstractyes

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