ArticleBehaviour research and therapy2019
Predicting suicide attempts among soldiers who deny suicidal ideation in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Article in Behaviour research and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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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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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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review.Frontiers in psychiatry · 2024Pooled it
- Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations.International journal of environmental research and public health · 2020Pooled it
- Suicide attempt in the absence of suicide ideation: Prevalence and correlates among youth detained in the juvenile legal system.Journal of affective disorders · 2025Article
- Machine learning applications related to suicide in military and Veterans: A scoping literature review.Journal of biomedical informatics · 2025Article
- Predicting suicide attempts among US Army soldiers using information available at the time of periodic health assessments.Nature. Mental health · 2025Article
- Temporal trends in suicide ideation and attempt among youth in juvenile detention, 2016-2021.Suicide & life-threatening behavior · 2025Article
- Predicting suicidal ideation in psychiatrically hospitalized veterans using the death/suicide Implicit Association Test: A prospective cohort study.Suicide & life-threatening behavior · 2023Article
- External Validation and Updating of a Statistical Civilian-Based Suicide Risk Model in US Naval Primary Care.JAMA network open · 2023Article
- Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults.JAMA network open · 2023Article
- Partnered implementation of the veteran sponsorship initiative: protocol for a randomized hybrid type 2 effectiveness-implementation trial.Implementation science : IS · 2022Article
- Artificial intelligence and suicide prevention: a systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2022Review
- Development of Autonomic Nervous System Assays as Point-of-Care Tests to Supplement Clinical Judgment in Risk Assessment for Suicidal Behavior: A Review.Current psychiatry reports · 2022Review
- Development and validation study of the suicide screening questionnaire-observer rating (SSQ-OR).Frontiers in psychiatry · 2022Article
- Association between neurocognitive functioning and suicide attempts in U.S. Army Soldiers.Journal of psychiatric research · 2022Article
- The Role of Past Suicidal Behavior on Current Suicidality: A Retrospective Study in the Israeli Military.International journal of environmental research and public health · 2021Article
- Suicide prediction models: a critical review of recent research with recommendations for the way forward.Molecular psychiatry · 2020Review
- Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study.Neuropsychiatric disease and treatment · 2020Article
- Assessment of a Risk Index for Suicide Attempts Among US Army Soldiers With Suicide Ideation: Analysis of Data From the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).JAMA network open · 2019Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
Most nonfatal suicide attempts and suicide deaths occur among patients who deny suicidal ideation (SI) during suicide risk screenings. Little is known about risk factors for suicidal behaviors among such patients. We investigated this in a representative sample of U.S. Army soldiers who denied lifetime SI in a survey and were then followed through administrative records for up to 45 months to learn of administratively-recorded suicide attempts (SA). A novel two-stage risk assessment approach was used that combined first-stage prediction from administrative records to find the subsample of SI deniers with highest subsequent SA risk and then used survey reports to estimate a second-stage model identifying the subset of individuals in the high-risk subsample at highest SA risk. 70% of survey respondents denied lifetime SI. Administrative data identified 30% of this 70% who accounted for 81.2% of subsequent administratively-recorded SAs. A relatively small number of self-report survey variables were then used to create a prediction model that identified 10% of the first-stage high-risk sample (i.e., 3% of all soldiers) at highest SA risk (accounting for 45% of SAs in the total sample). We close by discussing potential applications of this approach for identifying future SI deniers at highest SA risk.
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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.