Evidence map›Paper›PMID 39872043›Full record

ArticleEvidence-based practice in child and adolescent mental health2024

Identification of suicide risk in a pediatric psychiatric emergency setting: Comparing the Ask Suicide-screening Questions and the Kiddie-Computerized Adaptive Test-Suicide Scale.

Paige E Cervantes, Robert D Gibbons, Dana E M Seag, Argelinda Baroni, Annie Li, Sarah M Horwitz

Abstract read
In one paragraph

Article in Evidence-based practice in child and adolescent mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Assessing Psychiatric Symptoms in Autistic Youth Using the K-CATJournal of autism and developmental disorders · 2026
    Article
  2. Article
  3. 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

6 authors.

Paige E CervantesDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA.
Robert D GibbonsCenter for Health Statistics, University of Chicago, Chicago, IL.
Dana E M SeagDepartment of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY.
Argelinda BaroniDepartment of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY.
Annie LiDepartment of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY.
Sarah M HorwitzDepartment of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY.

Funding

National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, SARAH MCCUE · 2019 to 2022
$6.9M
NIMH NIH HHS P50 MH113662
6 · The paper itself

Abstract

While the emergency department (ED) is an important setting for identifying youth with psychiatric symptoms and connecting them to services, the demands of the ED make efficient and accurate measurement essential in the implementation of mental health screening. The Kiddie-Computerized Adaptive Test (K-CAT) scales, a new electronically administered measure that offers quick and comprehensive assessment across several mental health domains, may be particularly useful in this setting. Given current recommendations for youth suicide risk screening in EDs, this study compared the K-CAT-Suicide Scale (K-CAT-SS) and the Ask Suicide-screening Questions (ASQ), a widely used measure in EDs, in a sample of participants presenting to a pediatric, psychiatric emergency setting. The measures agreed on the presence of suicide risk in over 85% of cases (

Indexed as

ASQemergency departmentK-CATSuicide ScreeningYouth Suicide

Identifiers

PMID39872043
PMCPMC11771990

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.