Evidence map›Paper›PMID 32667206›Full record

ArticleAssessment2021

Using Intensive Longitudinal Data to Identify Early Predictors of Suicide-Related Outcomes in High-Risk Adolescents: Practical and Conceptual Considerations.

Ewa K Czyz, Jamie R T Yap, Cheryl A King, Inbal Nahum-Shani

Abstract read
In one paragraph

Article in Assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Intensive Longitudinal Assessment of Adolescents to Predict Suicidal Thoughts and Behaviors.Journal of the American Academy of Child and Adolescent Psychiatry · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

4 authors.

Ewa K CzyzUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-3292-5097
Jamie R T YapUniversity of Michigan, Ann Arbor, MI, USA.
Cheryl A KingUniversity of Michigan, Ann Arbor, MI, USA.
Inbal Nahum-ShaniUniversity of Michigan, Ann Arbor, MI, USA.

Funding

Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Developing an Adaptive Intervention for Suicidal Adolescents Following Inpatient Hospitalization: A Pilot SMARTK23MH113776 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CZYZ, EWA KARINA · 2017 to 2020
$773k
NIDA NIH HHS R01 DA039901NIMH NIH HHS K23 MH113776
6 · The paper itself

Abstract

Mobile technology offers new possibilities for assessing suicidal ideation and behavior in real- or near-real-time. It remains unclear how intensive longitudinal data can be used to identify proximal risk and inform clinical decision making. In this study of adolescent psychiatric inpatients (

Indexed as

AftercareSuicideAdolescentFemaleHumansMalePatient DischargeRisk FactorsSuicidal IdeationSuicide, Attemptedadolescentsdaily diaryecological momentary assessmentshort-term suicide risksuicide attempts

Identifiers

PMID32667206
PMCPMC8020712

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.