Considerations for the development and implementation of brief screening tools in the identification of early psychosis.

Jason Schiffman

Abstract readComment

In one paragraph

Article in Schizophrenia research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it

0cells of the map it votes in

4citing 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

4 citing papers in PubMed.

Assessing the prevalence of psychotic symptoms in epileptic patients at a tertiary clinic.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2023
Article
Using the K-SADS psychosis screen to identify people with early psychosis or psychosis risk syndromes.Clinical child psychology and psychiatry · 2019
Article
The impact of age on the validity of psychosis-risk screening in a sample of help-seeking youth.Psychiatry research · 2019
Article
Validity of a two-item screen for early psychosis.Psychiatry research · 2018
Article

4 · The record

Corrections and comments

Comment on
The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning.2018

5 · Who and what money

Authors and funding

1 author.

Jason SchiffmanDepartment of Psychology, University of Maryland, Baltimore County (UMBC), Baltimore, MD 21250, United States. 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

PubMed holds no abstract for this paper.

Indexed as

Psychiatric Status Rating ScalesPsychotic DisordersHumansMachine LearningClinical high-riskContextEarly identificationPsychosisScreeningSelf-report

Identifiers

PMID29525462

DOI10.1016/j.schres.2018.03.002

PMCPMC6128792

What OpenQuestion holds

Textmetadata

LicenceTDM

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.