Evidence map›Paper›PMID 39341292›Full record

ArticleJournal of affective disorders2025

Multi-modal risk factors differentiate suicide attempters from ideators in military veterans with major depressive disorder.

Kim E Goldstein, Robert H Pietrzak, Katelyn N Challman, King-Wai Chu, Kevin D Beck, Lisa A Brenner, Alejandro Interian, Catherine E Myers, Keith M Shafritz, Philip R Szeszko and 3 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Kim E GoldsteinDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: kim.zinn@mssm.edu.
Robert H PietrzakUnited States Department of Veterans Affairs National Center for PTSD, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Katelyn N ChallmanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
King-Wai ChuMental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA.
Kevin D BeckResearch Service, VA New Jersey Health Care System, East Orange, NJ, USA; Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA.
Lisa A BrennerVA Rocky Mountain Mental Illness Research Education and Clinical Center, Eastern Colorado Health Care System, Aurora, CO, USA; Departments of Physical Medicine and Rehabilitation, Psychiatry, and Neurology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
Alejandro InterianMental Health and Behavioral Sciences, VA New Jersey Health Care System, Lyons, NJ, USA; Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Catherine E MyersResearch Service, VA New Jersey Health Care System, East Orange, NJ, USA; Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA.
Keith M ShafritzDepartment of Psychology, Hofstra University, Hempstead, NY, USA; Institute of Behavioral Science, Feinstein Institutes of Medical Research, Northwell Health, Manhasset, NY, USA.
Philip R SzeszkoDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA; Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, USA.
Marianne GoodmanDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA; Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, USA.
M Mehmet HaznedarDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Health Patient Care Center, James J. Peters VA Medical Center, Bronx, NY, USA.
Erin A HazlettDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA; Research & Development, James J. Peters Veterans Affairs Medical Center, Bronx, NY, USA.

Funding

CSRD VA I01 CX001451CSRD VA I01 CX001826CSRD VA IK6 CX001738CSRD VA IK6 CX002700
6 · The paper itself

Abstract

backgroundThe suicide rate for United States military veterans is 1.5× higher than that of non-veterans. To meaningfully advance suicide prevention efforts, research is needed to delineate factors that differentiate veterans with suicide attempt/s, particularly in high-risk groups, e.g., major depressive disorder (MDD), from those with suicidal ideation (no history of attempt/s). The current study aimed to identify clinical, neurocognitive, and neuroimaging variables that differentiate suicide-severity groups in veterans with MDD.

methodsSixty-eight veterans with a DSM-5 diagnosis of MDD, including those with no ideation or suicide attempt (N = 21; MDD-SI/SA), ideation-only (N = 17; MDD + SI), and one-or-more suicide attempts (N = 30; MDD + SA; aborted, interrupted, actual attempts), participated in this study. Participants underwent a structured diagnostic interview, neurocognitive assessment, and 3 T-structural/diffusion tensor magnetic-resonance-imaging (MRI). Multinomial logistic regression models were conducted to identify variables that differentiated groups with respect to the severity of suicidal behavior.

resultsRelative to veterans with MDD-SI/SA, those with MDD + SA had significantly higher left cingulum fractional anisotropy, decreased attentional control on emotional-Stroop, and faster response time with intact accuracy on Go/No-Go. Relative to MDD + SI, MDD + SA had higher left cingulum fractional anisotropy and faster response time with intact accuracy on Go/No-Go. LIMITATIONS: Findings are based on retrospective, cross-sectional data and cannot identify causal relationships. Also, a healthy control group was not included given the study's focus on differentiating suicide profiles in MDD.

conclusionsThis study suggests that MRI and neurocognition differentiate veterans with MDD along the suicide-risk spectrum and could inform suicide-risk stratification and prevention efforts in veterans and other vulnerable populations.

Indexed as

Major Depressive DisorderSuicidal IdeationSuicide, AttemptedVeteransAdultDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsRisk FactorsUnited StatesAttentionCingulumDepressionDTISuicideVeterans

Identifiers

PMID39341292
PMCPMC12265924

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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.