Evidence map›Paper›PMID 28640991›Full record

ArticleThe Journal of clinical psychiatry2017

A Risk Algorithm for the Persistence of Suicidal Thoughts and Behaviors During College.

Philippe Mortier, Glenn Kiekens, Randy P Auerbach, Pim Cuijpers, Koen Demyttenaere, Jennifer G Green, Ronald C Kessler, Matthew K Nock, Alan M Zaslavsky, Ronny Bruffaerts

Open access · greenAbstract read
In one paragraph

Article in The Journal of clinical psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

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  15. Suicidal Thoughts and Behaviors Among First-Year College Students: Results From the WMH-ICS Project.Journal of the American Academy of Child and Adolescent Psychiatry · 2018
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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

10 authors at 5 institutions in 3 countries.

Philippe MortierResearch Group Psychiatry, Department of Neurosciences, KU Leuven University, Herestraat 49, Leuven, Belgium. philippe.mortier@uzleuven.be.
Glenn KiekensResearch Group Psychiatry, Department of Neurosciences, KU Leuven University, Leuven, Belgium.
Randy P AuerbachDepartment of Psychiatry, Harvard Medical School, Boston; and Center for Depression, Anxiety, and Stress Research, McLean Hospital, Belmont, Massachusetts, USA.
Pim CuijpersDepartment of Clinical, Neuro-, and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Koen DemyttenaereResearch Group Psychiatry, Department of Neurosciences, KU Leuven University, Leuven, Belgium.
Jennifer G GreenSchool of Education, Boston University, Boston, Massachusetts, USA.
Ronald C KesslerHarvard Medical School, Department of Health Care Policy, Harvard University, Boston, Massachusetts, USA.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, Massachusetts, USA.
Alan M ZaslavskyHarvard Medical School, Department of Health Care Policy, Harvard University, Boston, Massachusetts, USA.
Ronny BruffaertsResearch Group Psychiatry, Department of Neurosciences, KU Leuven University, Leuven, Belgium.
KU Leuven · BEHarvard University · USBoston University · USMcLean Hospital · USVrije Universiteit Amsterdam · NL

Funding

Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
Drug Dependence Epidemiology and EnviromicsK05DA015799 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2015
$1.4M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Predicting Internet-Based Treatment Response for Major Depressive DisorderR56MH109566 · NIMH · MCLEAN HOSPITAL · PI AUERBACH, RANDY PATRICK · 2016 to 2017
$685k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481NIDA NIH HHS K05 DA015799NIDA NIH HHS R01 DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R13 MH066849NIMH NIH HHS R56 MH109566
6 · The paper itself

Abstract

objectiveThe primary aims of this study are to (a) identify patterns of suicidal thoughts and behaviors (STB) during college among students with lifetime pre-matriculation STB and (b) develop a risk-screening algorithm for persistence of pre-matriculation STB during college.

methodsData come from the Leuven College Surveys, a series of prospective cohort studies of all incoming KU Leuven University freshmen. In the academic year 2012-2013, 4,889 incoming freshmen (73.2% response rate) provided baseline data on sociodemographic variables, childhood-adolescent traumatic experiences, 12-month stressful experiences, 12-month mental disorders, 12-month STB, and severity markers of pre-matriculation STB. A total of 2,566 students (69.3% conditional response rate) participated in 12- and 24-month follow-up surveys during the first 2 college years.

resultsThirteen percent (weighted n = 535) of incoming freshmen reported lifetime pre-matriculation STB. Of those, 28.0% reported 12-month STB in 1 follow-up assessment, and another 27.7%, in both follow-up assessments. High persistence of STB (ie, 12-month STB in 2 follow-up assessments) was most strongly associated with severity markers of pre-matriculation STB, with odds ratios in the 2.4-10.3 range and population attributable risk proportions between 9.2% and 50.8%. When the aim was for less than 50% of false-positive cases (positive predictive value = 54.4%), a multivariate predictive risk algorithm (cross-validated area under the curve = 0.79) situated 59.9% of highly persistent cases among the 30% respondents with highest baseline predicted risk.

conclusionsAn individualized web-based screening approach is a promising strategy to identify students at the time of university entrance who may be at high risk for STB persistence during their academic career.

Indexed as

AlgorithmsSuicidal IdeationSuicide PreventionAdolescentChildCohort StudiesFemaleFollow-Up StudiesHealth SurveysHumansLife Change EventsMaleMental DisordersNetherlandsRisk AssessmentStudents

Identifiers

PMID28640991
PMCPMC5664942
OpenAlexW2672343273

What OpenQuestion holds

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Registered trials

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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.