Evidence map›Paper›PMID 30780059›Full record

ArticlePsychiatry research2019

The impact of age on the validity of psychosis-risk screening in a sample of help-seeking youth.

P J Rakhshan Rouhakhtar, Steven C Pitts, Zachary B Millman, Nicole D Andorko, Samantha Redman, Camille Wilson, Caroline Demro, Peter L Phalen, Barbara Walsh, Scott Woods and 2 more

Abstract read
In one paragraph

Article in Psychiatry research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Categorical versus dimensional models of early psychosis.Early intervention in psychiatry · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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.

P J Rakhshan RouhakhtarHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Steven C PittsHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Zachary B MillmanHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Nicole D AndorkoHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Samantha RedmanHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Camille WilsonHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Caroline DemroHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Peter L PhalenDepartment of Psychiatry, University of Maryland, School of Medicine, 701 West Pratt St., Baltimore, MD 21201, USA.
Barbara WalshDepartment of Psychiatry, Yale University, 300 George St., New Haven, CT 06511, USA.
Scott WoodsDepartment of Psychiatry, Yale University, 300 George St., New Haven, CT 06511, USA.
Gloria M ReevesDepartment of Psychiatry, University of Maryland, School of Medicine, 701 West Pratt St., Baltimore, MD 21201, USA.
Jason SchiffmanHuman Services Psychology Department, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA. Electronic address: schiffma@umbc.edu.

Funding

Administrative Supplement - 3/3: Community Psychology Risk Screening: An Instrument Development StudyR01MH112612 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PITTS, STEVEN C, SCHIFFMAN, JASON E · 2017 to 2022
$1.3M
Social Work Training to Reduce Duration of Untreated PsychosisR34MH110506 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI BUCHANAN, ROBERT W, DEVYLDER, JORDAN · 2017 to 2019
$681k
NIMH NIH HHS R01 MH112612NIMH NIH HHS R34 MH110506
6 · The paper itself

Abstract

Self-report screening instruments offer promise in furthering early identification of at-risk youth, yet current efforts are limited by false positive rates. Identifying moderators of accuracy is a potential step towards improving identification and prevention efforts. We investigated the moderating effect of age on self-reported attenuated positive symptoms from the Prime Screen and clinician diagnosed clinical high-risk/early psychosis (CHR/EP) status. Participants (N = 134) were racially diverse, lower-income, help-seeking adolescents and young adults from a primarily urban community. The overall model predicting CHR/EP status was significant, with results suggesting the presence of a trending interaction between age and Prime Screen symptoms. Analyses indicated that number of items endorsed to predict CHR/EP decreased with age (youngest group [M = 12.99] cut off = 6 items; middle age group [M = 14.97] cut off = 3; oldest age group [M = 18.40] cut off = 1). Although younger participants endorsed more risk items on average, follow up analyses suggested that the Prime Screen was a more accurate predictor of clinician-diagnosed-risk among older participants relative to their younger peers. The current study builds on the literature identifying moderators of psychosis-risk screening measure accuracy, highlighting potential limitations of CHR/EP screening tools in younger populations.

Indexed as

AdolescentAge FactorsChildCross-Sectional StudiesFemaleHumansMalePatient Acceptance of Health CareProdromal SymptomsPsychiatric Status Rating ScalesPsychotic DisordersReproducibility of ResultsSelf ReportYoung Adult

Identifiers

PMID30780059
PMCPMC7513881

What OpenQuestion holds

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Registered trials

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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.