Evidence map›Paper›PMID 35121378›Full record

ArticleBehaviour research and therapy2022

Integrating a functional view on suicide risk into idiographic statistical models.

Aleksandra Kaurin, Alexandre Y Dombrovski, Michael N Hallquist, Aidan G C Wright

Abstract read
In one paragraph

Article in Behaviour research and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  6. An initial exploration of the daily associations between opioid use and acute suicide risk: The role of posttraumatic stress symptoms.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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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

4 authors.

Aleksandra KaurinFaculty of Health/School of Psychology and Psychiatry, Witten/Herdecke University, Witten, Germany. Electronic address: aleksandra.kaurin@uni-wh.de.
Alexandre Y DombrovskiDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Michael N HallquistDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill, USA.
Aidan G C WrightDepartment of Psychology, University of Pittsburgh, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
PSYCHOBIOLOGY OF SUICIDAL BEHAVIOR IN BPDR01MH048463 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Alexandre Y. Dombrovski · 1992 to 2026
$13.9M
Reward Learning in Late-Life Suicidal BehaviorR01MH100095 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Alexandre Y. Dombrovski · 2014 to 2026
$6.8M
CLINICAL RESEARCH TRAINING FOR PSYCHOLOGISTST32MH018269 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MICHELE D LEVINE · 1986 to 2026
$6.3M
Neurocomputational mechanisms of impaired social decision-making in borderline personalityR01MH119399 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALLQUIST, MICHAEL NELSON · 2019 to 2024
$2.5M
NCATS NIH HHS UL1 TR001857NIMH NIH HHS L30 MH101760NIMH NIH HHS R01 MH048463NIMH NIH HHS R01 MH100095NIMH NIH HHS R01 MH119399NIMH NIH HHS T32 MH018269
6 · The paper itself

Abstract

Acute risk of death by suicide manifests in heightened suicidal ideation in certain contexts and time periods. These increases are thought to emerge from complex and mutually reinforcing relationships between dispositional vulnerability factors and individually suicidogenic short-term stressors. Together, these processes inform clinical safety planning and our therapeutic tools accommodate a reasonable degree of idiosyncrasy when we individualize interventions. Unraveling these multifaceted factors and processes on a quantitative level, however, requires estimation frameworks capable of representing idiosyncrasies relevant to intervention and psychotherapy. Using, data from a 21-day ambulatory assessment protocol that included six random prompts per day, we developed personalized (i.e., idiographic) models of interacting risk factors and suicidal ideation via Group Iterative Multiple Model Estimation (GIMME) in a sample of people diagnosed with borderline personality disorder (N = 95) stratified for a history of high lethality suicide attempts. Our models revealed high levels of heterogeneity in state risk factors related to suicidal ideation, with no features shared among the majority of participants or even among relatively homogenous clusters of participants (i.e., empirically derived subgroups). We discuss steps toward clinical implementation of personalized models, which can eventually capture suicidogenic changes in proximal risk factors and inform safety planning and interventions.

Indexed as

Borderline Personality DisorderSuicide, AttemptedHumansModels, StatisticalPsychotherapyRisk FactorsSuicidal IdeationBorderline personality disorderEcologicalGroup iterative multiple model estimationIdiographic modelsMomentary assessmentSuicide risk

Identifiers

PMID35121378
PMCPMC8920074

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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.