Evidence map›Paper›PMID 29036587›Full record

ArticleSchizophrenia bulletin2018

Latent Profile Analysis and Conversion to Psychosis: Characterizing Subgroups to Enhance Risk Prediction.

Kristin M Healey, David L Penn, Diana Perkins, Scott W Woods, Richard S E Keefe, Jean Addington

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Kristin M HealeyDepartment of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
David L PennDepartment of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Diana PerkinsDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Scott W WoodsDepartment of Psychiatry, Yale University, New Haven, CT.
Richard S E KeefeDepartment of Psychiatry, Duke University Medical Center, Durham, NC.
Jean AddingtonDepartment of Psychiatry, Faculty of Medicine, University of Calgary, Calgary, AB, Canada.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Enhancing the Prospective Prediction of PsychosisU01MH066160 · NIMH · YALE UNIVERSITY · PI WOODS, SCOTT W · 2003 to 2007
$1.6M
Enhancing the Prospective Prediction of PsychosisU01MH066069 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERKINS, DIANA O. · 2003 to 2007
$1.5M
Enhancing the Prospective Prediction of PsychosisU01MH066134 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI ADDINGTON, JEAN M · 2003 to 2007
$869k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS U01 MH066069NIMH NIH HHS U01 MH066134NIMH NIH HHS U01 MH066160
6 · The paper itself

Abstract

backgroundGroups at clinical high risk (CHR) of developing psychosis are heterogeneous, composed of individuals with different clusters of symptoms. It is likely that there exist subgroups, each associated with different symptom constellations and probabilities of conversion.

methodPresent study used latent profile analysis (LPA) to ascertain subgroups in a combined sample of CHR (n = 171) and help-seeking controls (HSCs; n = 100; PREDICT study). Indicators in the LPA model included baseline Scale of Prodromal Symptoms (SOPS), Calgary Depression Scale for Schizophrenia (CDSS), and neurocognitive performance as measured by multiple instruments, including category instances (CAT). Subgroups were further characterized using covariates measuring demographic and clinical features.

resultsThree classes emerged: class 1 (mild, transition rate 5.6%), lowest SOPS and depression scores, intact neurocognitive performance; class 2 (paranoid-affective, transition rate 14.2%), highest suspiciousness, mild negative symptoms, moderate depression; and class 3 (negative-neurocognitive, transition rate 29.3%), highest negative symptoms, neurocognitive impairment, social cognitive impairment. Classes 2 and 3 evidenced poor social functioning.

conclusionsResults support a subgroup approach to research, assessment, and treatment of help-seeking individuals. Class 3 may be an early risk stage of developing schizophrenia.

Indexed as

Prodromal SymptomsAdolescentAdultCognitive DysfunctionFemaleHumansMalePsychiatric Status Rating ScalesPsychotic DisordersRisk AssessmentSchizophreniaYoung Adult

Identifiers

PMID29036587
PMCPMC5815120

What OpenQuestion holds

Textmetadata
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.