Evidence map›Paper›PMID 38476439›Full record

ArticleJournal of the American College of Emergency Physicians open2024

Management of suicidal risk in the emergency department: A clinical pathway using the computerized adaptive screen for suicidal youth.

Jacqueline Grupp-Phelan, Adam Horwitz, David Brent, Lauren Chernick, Rohit Shenoi, Charlie Casper, Michael Webb, Cheryl King, Pediatric Emergency Care Applied Research Network (PECARN)

Open access · goldAbstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Predicting 3-month risk for adolescent suicide attempts among pediatric emergency department patients.Journal of child psychology and psychiatry, and allied disciplines · 2019
    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

9 authors at 6 institutions in 1 country.

Jacqueline Grupp-PhelanDepartment of Emergency Medicine Benioff Children's Hospitals University of California San Francisco San Francisco California USA.ORCID https://orcid.org/0000-0002-8609-1171
Adam HorwitzDepartment of Psychiatry University of Michigan Ann Arbor Michigan USA.
David BrentDepartment of Psychiatry University of Pittsburgh Pittsburgh Pennsylvania USA.
Lauren ChernickDepartment of Pediatrics Columbia University New York New York USA.
Rohit ShenoiDepartment of Pediatrics University of Texas Southwestern Dallas Texas USA.
Charlie CasperData Coordinating Center University of Utah Salt Lake City Utah USA.
Michael WebbData Coordinating Center University of Utah Salt Lake City Utah USA.
Cheryl KingDepartment of Psychiatry University of Michigan Ann Arbor Michigan USA.
Pediatric Emergency Care Applied Research Network (PECARN)
University of Michigan · USUniversity of Utah · USColumbia University · USThe University of Texas Southwestern Medical Center · USUniversity of California, San Francisco · USUniversity of Pittsburgh · US

Funding

Emergency Department Screen for Teens at Risk for Suicide (ED-STARS)U01MH104311 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENT, DAVID A., GRUPP-PHELAN, JACQUELINE M. · 2014 to 2016
$10.6M
Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
Targeting high risk teens in the emergency department: A user-informed, theory-based intervention using text messaging to reduce teen pregnancyK23HD096060 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHERNICK, LAUREN STEPHANIE · 2018 to 2020
$501k
NCATS NIH HHS KL2 TR002241NICHD NIH HHS K23 HD096060NIMH NIH HHS U01 MH104311
6 · The paper itself

Abstract

Objective: Given the critical need for efficient and tailored suicide screening for youth presenting in the emergency department (ED), this study establishes validated screening score thresholds for the Computerized Adaptive Screen for Suicidal Youth (CASSY) and presents an example of a suicide risk classification pathway. Methods: Participants were primarily from the Study One derivation cohort of the Emergency Department Screen for Teens at Risk for Suicide (ED-STARS) enrolled in collaboration with Pediatric Emergency Care Applied Research Networks (PECARN). CASSY scores corresponded to the predicted probabilities of a suicide attempt in the next 3 months and risk thresholds were classified as minimal (<1%), low (1%-5%), moderate (5%-10%), and high (>10%). CASSY scores were compared to risk thresholds derived from clinical consensus and ED complaints and dispositions. CASSY risk thresholds were also examined as predictors of future suicide attempts in the Study Two validation cohort of ED-STARS. Results: A total of 1452 teens were enrolled with a median age of 15.2 years, 59.5% were female, 55.6% were White, 22% were Black, 22.3% were Latinx, and 42.8% received public assistance. The clinical consensus suicide risk groups were strongly associated with the CASSY-predicted risk thresholds. Suicide attempts in the Study Two cohort occurred at a frequency consistent with the CASSY-predicted thresholds. Conclusions: The CASSY can be a valuable tool in providing patient-specific risk probabilities for a suicide attempt at 3 months and tailor the threshold cutoffs based on the availability of local mental health resources. We give an example of a clinical risk pathway, which should include segmentation of the ED population by medical versus psychiatric chief complaint.

Indexed as

CASSYsuicide risksuicide risk pathway

Identifiers

PMID38476439
PMCPMC10928451
OpenAlexW4392711206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.