Evidence map›Paper›PMID 31461129›Full record

ArticleJAMA psychiatry2019

Clinical Stage Transitions in Persons Aged 12 to 25 Years Presenting to Early Intervention Mental Health Services With Anxiety, Mood, and Psychotic Disorders.

Frank Iorfino, Elizabeth M Scott, Joanne S Carpenter, Shane P Cross, Daniel F Hermens, Madhura Killedar, Alissa Nichles, Natalia Zmicerevska, Django White, Adam J Guastella and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in JAMA psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 2 pooled it
34.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 2 syntheses or guidelines pooled it, 175 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
  8. [Diagnostic transitions in adolescent inpatients with mental disorders: a retrospective cohort study].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Article
  9. Article
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  12. Rethinking AI in youth mental health: promise, perils, and ethical integration.International journal of mental health systems · 2026
    Article
  13. Review
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  18. Transdiagnostic prevention in youth mental health, Part II: interventions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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  20. Article

38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Frank IorfinoYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Elizabeth M ScottYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Joanne S CarpenterYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Shane P CrossYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Daniel F HermensYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Madhura KilledarSydney Informatics Hub, University of Sydney, New South Wales, Australia.
Alissa NichlesYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Natalia ZmicerevskaYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Django WhiteYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Adam J GuastellaYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
Jan ScottAcademic Psychiatry, Institute of Neuroscience, Newcastle University, United Kingdom.
Patrick D McGorryOrygen, National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
Ian B HickieYouth Mental Health Team, Brain and Mind Centre, University of Sydney, New South Wales, Australia.
University of Sydney · AUNewcastle University · GBOrygen Youth Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The large contribution of psychiatric disorders to premature death and persistent disability among young people means that earlier identification and enhanced long-term care for those who are most at risk of developing life-threatening or chronic disorders is critical. Clinical staging as an adjunct to diagnosis to address emerging psychiatric disorders has been proposed for young people presenting for care; however, the longer-term utility of this system has not been established. Objectives: To determine the rates of transition from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders and to identify the demographic and clinical characteristics that are associated with the time course of these transitions. Design, Setting, and Participants: A longitudinal, observational study of 2254 persons aged 12 to 25 years who obtained mental health care at 2 early intervention mental health services in Sydney, Australia, and were recruited to a research register between June 18, 2008, and July 24, 2018 (the Brain and Mind Centre Optymise Cohort). Main Outcomes and Measures: The primary outcome of this study was transition from earlier to later clinical stages. A multistate Markov model was used to examine demographic (ie, age, sex, engagement in education, employment, or both) and clinical (ie, social and occupational function, clinical presentation, personal history of mental illness, physical health comorbidities, treatment use, self-harm, suicidal thoughts and behaviors) factors associated with these transitions. Results: Of the 2254 individuals included in the study, mean (SD) age at baseline was 18.18 (3.33) years and 1330 (59.0%) were female. Data on race/ethnicity were not available. Median (interquartile range) follow-up was 14 (5-33) months. Of 685 participants at stage 1a (nonspecific symptoms), 253 (36.9%) transitioned to stage 1b (attenuated syndromes). Transition was associated with lower social functioning (hazard ratio [HR], 0.77; 95% CI, 0.66-0.90), engagement with education, employment, or both (HR, 0.47; 95% CI, 0.25-0.91), manic-like experiences (HR, 2.12; 95% CI, 1.19-3.78), psychotic-like experiences (HR, 2.13; 95% CI, 1.38-3.28), self-harm (HR, 1.42; 95% CI, 1.01-1.99), and older age (HR, 1.27; 95% CI, 1.11-1.45). Of 1370 stage 1b participants, 176 (12.8%) transitioned to stage 2 (full-threshold) disorders. Transition was associated with psychotic-like experiences (HR, 2.31; 95% CI, 1.65-3.23), circadian disturbance (HR, 1.66; 95% CI, 1.17-2.35), psychiatric medication (HR, 1.43; 95% CI, 1.03-1.99), childhood psychiatric disorder (HR, 1.62; 95% CI, 1.03-2.54), and older age (HR, 1.24; 95% CI, 1.05-1.45). Conclusions and Relevance: Differential rates of progression from earlier to later stages of anxiety, mood, psychotic, or comorbid disorders were observed in young persons who presented for care at various stages. Understanding the rate and factors associated with transition assists planning of stage-specific clinical interventions and secondary prevention trials.

Indexed as

Mental HealthMental Health ServicesAdolescentAdultAge FactorsAnxiety DisordersChildDisease ProgressionFemaleHumansMaleMood DisordersPsychotic DisordersYoung Adult

Identifiers

PMID31461129
PMCPMC6714017
OpenAlexW2970593898

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.