Evidence map›Paper›PMID 42502628›Full record

ArticleData in brief2026

Data set of neurocognitive markers for short-term risk for suicidal behavior in high-risk Veterans.

Jake T Smolinsky, Neha Gardilla, Alejandro Interian, Vibha Reddy, Kailyn Rodriguez, Catherine E Myers

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jake T SmolinskyResearch and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.
Neha GardillaResearch and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.
Alejandro InterianMental Health and Behavioral Sciences, VA New Jersey Health Care System, 151 Knollcroft Road, Lyons, NJ, 07939 United States.
Vibha ReddyResearch and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.
Kailyn RodriguezResearch and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.
Catherine E MyersResearch and Development Service, VA New Jersey Health Care System, 385 Tremont Avenue, Mail Stop 15A, East Orange, NJ, 07018-1023 United States.

Funding

BLRD VA I01 BX006872CSRD VA I01 CX001826
6 · The paper itself

Abstract

Data were collected prospectively from 60 Veterans at risk for suicide at multiple time points over a one year period to identify predictors of suicidal events in the next 90 days. This outcome included suicide attempts, interrupted/aborted attempts, preparatory behaviors, or suicide-related hospitalizations. Entry criteria included prior year suicidal behavior or prior week severe suicidal ideation. At each time point, participants completed neurocognitive testing and self-report measures of suicidality, and reported suicide-related events since the previous time point. Available data include suicide-related outcomes, question-level data for clinical interviews and self-report measures (including assessments of suicidal thoughts and behaviors, suicidal ideation severity, as well as the Beck Depression Inventory-II (BDI-II), Beck Hopelessness Scale (BHS), Holmes-Rahe Stress Inventory, Automatic Thoughts Questionnaire (ATQ-30), and Acquired Capacity for Suicide Scale (ACSS)), and trial-level data for neurocognitive testing (including go-no/go task, a reward- and punishment-based learning task, death/suicide version of the Implicit Association Task, a memory recognition test), as well as latent cognitive variables extracted from computational modeling of the neurocognitive tests. This data may be used in secondary analyses for identification of predictors of multiple suicide-related outcomes over different time frames.

Indexed as

Computational modelingDrift diffusion modelNeurocognitive testsReinforcement learningSuicide attemptSuicide risk

Identifiers

PMID42502628
PMCPMC13400775

What OpenQuestion holds

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LicenceCC BY-NC
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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.