Evidence map›Paper›PMID 28187217›Full record

ArticlePloS one2017

Electrophysiological, cognitive and clinical profiles of at-risk mental state: The longitudinal Minds in Transition (MinT) study.

Rebbekah J Atkinson, W Ross Fulham, Patricia T Michie, Philip B Ward, Juanita Todd, Helen Stain, Robyn Langdon, Renate Thienel, Georgie Paulik, Gavin Cooper and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. P300 in schizophrenia: Then and now.Biological psychology · 2024
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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

12 authors.

Rebbekah J AtkinsonCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.
W Ross FulhamCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.ORCID http://orcid.org/0000-0001-8828-1588
Patricia T MichieCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.
Philip B WardSchool of Medicine and Population Health, University of New South Wales, Sydney, New South Wales, Australia.
Juanita ToddCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.
Helen StainCentre for Rural and Remote Mental Health, Bloomfield Hospital, Orange, New South Wales, Australia.
Robyn LangdonSchizophrenia Research Institute, Darlinghurst, New South Wales, Australia.
Renate ThienelCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.
Georgie PaulikSchizophrenia Research Institute, Darlinghurst, New South Wales, Australia.
Gavin CooperCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.
MinT Consortium
Ulrich SchallCentre for Brain and Mental Health Research, University of Newcastle, Newcastle, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of schizophrenia is typically preceded by a prodromal period lasting several years during which sub-threshold symptoms may be identified retrospectively. Clinical interviews are currently used to identify individuals who have an ultra-high risk (UHR) of developing a psychotic illness with a view to provision of interventions that prevent, delay or reduce severity of future mental health issues. The utility of bio-markers as an adjunct in the identification of UHR individuals is not yet established. Several event-related potential measures, especially mismatch-negativity (MMN), have been identified as potential biomarkers for schizophrenia. In this 12-month longitudinal study, demographic, clinical and neuropsychological data were acquired from 102 anti-psychotic naive UHR and 61 healthy controls, of whom 80 UHR and 58 controls provided valid EEG data during a passive auditory task at baseline. Despite widespread differences between UHR and controls on demographic, clinical and neuropsychological measures, MMN and P3a did not differ between these groups. Of 67 UHR at the 12-month follow-up, 7 (10%) had transitioned to a psychotic illness. The statistical power to detect differences between those who did or did not transition was limited by the lower than expected transition rate. ERPs did not predict transition, with trends in the opposite direction to that predicted. In exploratory analysis, the strongest predictors of transition were measures of verbal memory and subjective emotional disturbance.

Indexed as

Evoked Potentials, AuditoryMental HealthProdromal SymptomsAdolescentAdultCase-Control StudiesCognitionElectroencephalographyEmotionsFemaleHumansLongitudinal StudiesMaleMemorySchizophrenia

Identifiers

PMID28187217
PMCPMC5302824

What OpenQuestion holds

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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.