Evidence map›Paper›PMID 40071550›Full record

ArticlePsychological medicine2025

Characterising symptomatic substates in individuals on the psychosis continuum: a hidden Markov modelling approach.

Isabelle Scott, Emmeke Aarts, Cassandra Wannan, Caroline X Gao, Scott Clark, Simon Hartmann, Josh Nguyen, Blake Cavve, Jessica A Hartmann, Dominic Dwyer and 11 more

Abstract read
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Isabelle ScottOrygen, Parkville, VC, Australia.ORCID 0000-0001-8293-6125
Emmeke AartsDepartment of Methodology and Statistics, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, Netherlands.
Cassandra WannanOrygen, Parkville, VC, Australia.
Caroline X GaoOrygen, Parkville, VC, Australia.
Scott ClarkDiscipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia.
Simon HartmannOrygen, Parkville, VC, Australia.
Josh NguyenOrygen, Parkville, VC, Australia.
Blake CavveTelethon Kids Institute, The University of Western Australia, Perth, WA, Australia.
Jessica A HartmannOrygen, Parkville, VC, Australia.
Dominic DwyerOrygen, Parkville, VC, Australia.
Sara van der TuinDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Esdras Raposo de AlmeidaDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ashleigh LinSchool of Population and Global Health, The University of Western Australia, Perth, WA, Australia.
G Paul AmmingerOrygen, Parkville, VC, Australia.
Andrew ThompsonOrygen, Parkville, VC, Australia.
Stephen J WoodOrygen, Parkville, VC, Australia.
Alison R YungInstitute for Mental and Physical Health and Clinical Translation, Deakin University, Melbourne, VIC, Australia.
David van den BergDepartment of Clinical Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Patrick D McGorryOrygen, Parkville, VC, Australia.
Johanna T W WigmanDepartment of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Barnaby NelsonOrygen, Parkville, VC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve early intervention and personalise treatment for individuals early on the psychosis continuum, a greater understanding of symptom dynamics is required. We address this by identifying and evaluating the movement between empirically derived attenuated psychotic symptomatic substates-clusters of symptoms that occur within individuals over time.

methodsData came from a 90-day daily diary study evaluating attenuated psychotic and affective symptoms. The sample included 96 individuals aged 18-35 on the psychosis continuum, divided into four subgroups of increasing severity based on their psychometric risk of psychosis, with the fourth meeting ultra-high risk (UHR) criteria. A multilevel hidden Markov modelling (HMM) approach was used to characterise and determine the probability of switching between symptomatic substates. Individual substate trajectories and time spent in each substate were subsequently assessed.

resultsFour substates of increasing psychopathological severity were identified: (1) low-grade affective symptoms with negligible psychotic symptoms; (2) low levels of nonbizarre ideas with moderate affective symptoms; (3) low levels of nonbizarre ideas and unusual thought content, with moderate affective symptoms; and (4) moderate levels of nonbizarre ideas, unusual thought content, and affective symptoms. Perceptual disturbances predominantly occurred within the third and fourth substates. UHR individuals had a reduced probability of switching out of the two most severe substates.

conclusionsFindings suggest that individuals reporting unusual thought content, rather than nonbizarre ideas in isolation, may exhibit symptom dynamics with greater psychopathological severity. Individuals at a higher risk of psychosis exhibited persistently severe symptom dynamics, indicating a potential reduction in psychological flexibility.

Indexed as

Affective SymptomsPsychotic DisordersAdolescentAdultFemaleHumansMaleMarkov ChainsProdromal SymptomsSeverity of Illness IndexYoung AdultAmbulatory assessmentclinical high riskDaily diary studyEcological momentary assessmentHidden markov modelmultilevel modellingpsychosispsychosis continuumpsychosis statessymptom dynamicsultra high risk

Identifiers

PMID40071550
PMCPMC12068681

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.