Evidence map›Paper›PMID 37182586›Full record

ArticleJournal of the American Academy of Child and Adolescent Psychiatry2023

Intensive Longitudinal Assessment of Adolescents to Predict Suicidal Thoughts and Behaviors.

Randy P Auerbach, Ranqing Lan, Hanga Galfalvy, Kira L Alqueza, Jeffrey F Cohn, Ryann N Crowley, Katherine Durham, Karla J Joyce, Lauren E Kahn, Rahil A Kamath and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Academy of Child and Adolescent Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
6.6field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  10. Understanding the emergence of suicidal thoughts and behaviors in adolescence from a brain and behavioral developmental perspective.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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  18. Suicide Ideation Subtypes That Predict a Future and Earlier Suicide Attempt Among Adolescents.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
    Article
  19. 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

16 authors at 6 institutions in 1 country.

Randy P AuerbachColumbia University, New York, and New York State Psychiatric Institute, New York; Sackler Institute, New York. Electronic address: rpa2009@cumc.columbia.edu.
Ranqing LanColumbia University, New York, and New York State Psychiatric Institute, New York.
Hanga GalfalvyColumbia University, New York, and New York State Psychiatric Institute, New York.
Kira L AlquezaColumbia University, New York, and New York State Psychiatric Institute, New York.
Jeffrey F CohnUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Ryann N CrowleyUniversity of Oregon, Eugene, Oregon.
Katherine DurhamColumbia University, New York, and New York State Psychiatric Institute, New York.
Karla J JoyceUniversity Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Lauren E KahnUniversity of Oregon, Eugene, Oregon.
Rahil A KamathColumbia University, New York, and New York State Psychiatric Institute, New York.
Louis-Philippe MorencyCarnegie Mellon University, Pittsburgh, Pennsylvania.
Giovanna PortaUniversity Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Apoorva SrinivasanColumbia University, New York, and New York State Psychiatric Institute, New York.
Jamie ZelaznyUniversity Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
David A BrentUniversity Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Nicholas B AllenUniversity of Oregon, Eugene, Oregon.
New York Psychoanalytic Society and Institute · USUniversity of Pittsburgh Medical Center · USUniversity of Oregon · USCarnegie Mellon University · USColumbia University Irving Medical Center · USUniversity of Pittsburgh · US

Funding

MAPS: Mobile Assessment for the Prediction of SuicideU01MH116923 · NIMH · UNIVERSITY OF OREGON · PI ALLEN, NICHOLAS B, AUERBACH, RANDY PATRICK · 2018 to 2022
$3.6M
NIMH NIH HHS U01 MH116923
6 · The paper itself

Abstract

objectiveSuicide is a leading cause of death among adolescents. However, there are no clinical tools to detect proximal risk for suicide.

methodParticipants included 13- to 18-year-old adolescents (N = 103) reporting a current depressive, anxiety, and/or substance use disorder who owned a smartphone; 62% reported current suicidal ideation, with 25% indicating a past-year attempt. At baseline, participants were administered clinical interviews to assess lifetime disorders and suicidal thoughts and behaviors (STBs). Self-reports assessing symptoms and suicide risk factors also were obtained. In addition, the Effortless Assessment of Risk States (EARS) app was installed on adolescent smartphones to acquire daily mood and weekly suicidal ideation severity during the 6-month follow-up period. Adolescents completed STB and psychiatric service use interviews at the 1-, 3-, and 6-month follow-up assessments.

resultsK-means clustering based on aggregates of weekly suicidal ideation scores resulted in a 3-group solution reflecting high-risk (n = 26), medium-risk (n = 47), and low-risk (n = 30) groups. Of the high-risk group, 58% reported suicidal events (ie, suicide attempts, psychiatric hospitalizations, emergency department visits, ideation severity requiring an intervention) during the 6-month follow-up period. For participants in the high-risk and medium-risk groups (n = 73), mood disturbances in the preceding 7 days predicted clinically significant ideation, with a 1-SD decrease in mood doubling participants' likelihood of reporting clinically significant ideation on a given week.

conclusionIntensive longitudinal assessment through use of personal smartphones offers a feasible method to assess variability in adolescents' emotional experiences and suicide risk. Translating these tools into clinical practice may help to reduce the needless loss of life among adolescents.

Indexed as

Suicidal IdeationSuicide, AttemptedAdolescentAnxiety DisordersHumansMood DisordersRisk Factorscluster analysisdaily diarydigital phenotypingsuicidal ideationsuicide attempts

Identifiers

PMID37182586
PMCPMC10524866
OpenAlexW4376130118

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.