ArticleData in brief2026
Data set of neurocognitive markers for short-term risk for suicidal behavior in high-risk Veterans.
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.
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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.
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Authors and funding
6 authors.
Funding
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.
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