Evidence map›Paper›PMID 29489076›Full record

ArticleThe Journal of clinical psychiatry

Pathways to Late-Life Suicidal Behavior: Cluster Analysis and Predictive Validation of Suicidal Behavior in a Sample of Older Adults With Major Depression.

Katalin Szanto, Hanga Galfalvy, Polina M Vanyukov, John G Keilp, Alexandre Y Dombrovski

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of clinical psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06529029 (Efficacy of Low Amplitude Pulse Seizure Therapy Versus Standard Ultra-Brief Right Unilateral Electroconvulsive Therapy in Remission of Suicidal Ideation), which is not on this map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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.

NCT06529029 phase2 / phase3recruitingnot on this map

Efficacy of Low Amplitude Pulse Seizure Therapy Versus Standard Ultra-Brief Right Unilateral Electroconvulsive Therapy in Remission of Suicidal Ideation

TypeinterventionalSponsorMichigan State UniversityRan2024 to 2026Enrolled30ConditionsSuicidal Ideation, Major Depressive Disorder, Schizo Affective Disorder, Bipolar DisorderArmsSigma-Stim, RUL LAP-ST (Low-Amplitude Pulse Seizure Therapy - Right Unilateral)
3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Is Late-Onset Suicidal Behavior a Distinct Subtype?The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
  11. Article
  12. Life-Satisfaction, Engagement, Mindfulness, Flourishing, and Social Support: Do they Predict Depression, Suicide Ideation, and History of Suicide Attempt in Late Life?The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Mental health care for older adults: recent advances and new directions in clinical practice and research.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
  17. The Role of Perceived and Objective Social Connectedness on Risk for Suicidal Thoughts and Behavior in Late-Life and Their Moderating Effect on Cognitive Deficits.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2022
    Article
  18. Article
  19. Search for solutions, learning, simulation, and choice processes in suicidal behavior.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
  20. Personality Disorders in Older Age.Focus (American Psychiatric Publishing) · 2021
    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

5 authors.

Katalin SzantoWestern Psychiatric Institute and Clinic, 3811 O'Hara St, Pittsburgh, PA 15213. szantok@upmc.edu.
Hanga GalfalvyDepartment of Psychiatry, Columbia University, New York, New York, USA.
Polina M VanyukovDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
John G KeilpDepartment of Psychiatry, Columbia University, New York, New York, USA.
Alexandre Y DombrovskiDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 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
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Short Term Variability in Affect and Rest Activity Rhythms in Long Term Chronic and Highly Variable Suicidal Ideation in Depressed Older AdultsR01MH085651 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANGA CSILLA GALFALVY, Swathi Gujral · 2010 to 2026
$9.6M
Reward Learning in Late-Life Suicidal BehaviorR01MH100095 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Alexandre Y. Dombrovski · 2014 to 2026
$6.8M
Social and decision neuroscience of suicidal behaviorK01MH110762 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VANYUKOV, POLINA M · 2017 to 2020
$670k
Long-Term Care Research NetworkK07AG052668 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GREENSPAN, SUSAN L · 2016 to 2020
$439k
NCATS NIH HHS UL1 TR001857NIA NIH HHS K07 AG052668NIA NIH HHS P30 AG024827NIMH NIH HHS K01 MH110762NIMH NIH HHS R01 MH085651NIMH NIH HHS R01 MH100095
6 · The paper itself

Abstract

objectiveClinical heterogeneity is a key challenge to understanding suicidal risk, as different pathways to suicidal behavior are likely to exist. We aimed to identify such pathways by uncovering latent classes of late-life depression cases and relating them to prior and future suicidal behavior.

methodsData were collected from June 2010 to September 2015. In this longitudinal study we examined distinct associations of clinical and cognitive/decision-making factors with suicidal behavior in 194 older (50+ years) nondemented, depressed patients; 57 nonpsychiatric healthy controls provided benchmark data. The DSM-IV was used to establish diagnostic criteria. We identified multivariate patterns of risk factors, defining clusters based on personality traits, perceived social support, cognitive performance, and decision-making in an analysis blinded to participants' history of suicidal behavior. We validated these clusters using past and prospective suicidal ideation and behavior.

resultsOf 5 clusters identified, 3 were associated with high risk for suicidal behavior: (1) cognitive deficits, dysfunctional personality, low social support, high willingness to delay future rewards, and overrepresentation of high-lethality attempters; (2) high-personality pathology (ie, low self-esteem), minimal or no cognitive deficits, and overrepresentation of low-lethality attempters and ideators; (3) cognitive deficits, inability to delay future rewards, and similar distribution of high- and low-lethality attempters. There were significant between-cluster differences in number (P < .001) and lethality (P = .002) of past suicide attempts and in the likelihood of future suicide attempts (P = .010, 30 attempts by 22 patients, 2 fatal) and emergency psychiatric hospitalizations to prevent suicide (P = .005, 31 participants).

conclusionsThree pathways to suicidal behavior in older patients were found, marked by (1) very high levels of cognitive and dispositional risk factors suggesting a dementia prodrome, (2) dysfunctional personality traits, and (3) impulsive decision-making and cognitive deficits.

Indexed as

Cognition DisordersDecision MakingPersonality DisordersSuicidal IdeationSuicide, AttemptedAgedCluster AnalysisFemaleHumansImpulsive BehaviorMajor Depressive DisorderMaleMental CompetencyMiddle AgedPredictive Value of TestsPrognosis

Identifiers

PMID29489076
PMCPMC5932247

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Registered trials

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.