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How accurate are suicide risk prediction models? Asking the right questions for clinical practice
10 references·5 citing·43 second hop
How accurate are suicide risk prediction models? Asking the right questions for clinical practice (2019)How accurate are suicide risk prediction …The prediction of suicide in severe mental illness: development and validation of a clinical prediction rule (OxMIS) (2019)The prediction of suicide in …Prediction Models for Suicide Attempts and Deaths (2019)Prediction Models for Suicide…The role of prediction in suicide prevention (2018)The role of prediction in sui…PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)PROBAST: A Tool to Assess the…Predicting suicidal behaviours using clinical instruments: Systematic review and meta-analysis of positive predictive values for risk scales (2017)Predicting suicidal behaviour…Instruments for the assessment of suicide risk: A systematic review evaluating the certainty of the evidence (2017)Instruments for the assessmen…Can we usefully stratify patients according to suicide risk? (2017)Can we usefully stratify pati…Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)Risk factors for suicidal tho…Suicide risk assessment and intervention in people with mental illness (2015)Suicide risk assessment and i…QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)QUADAS-2: A Revised Tool for …The Role of Digital Technology in Youth Suicide Prevention (2025)The Role of Digital Technolog…Moving Toward Meaningful Evaluations of Monitoring in e-Mental Health Based on the Case of a Web-Based Grief Service for Older Mourners: Mixed Methods Study (2024)Moving Toward Meaningful Eval…Machine learning for suicidal ideation identification: A systematic literature review (2021)Machine learning for suicidal…Accuracy Requirements for Cost-effective Suicide Risk Prediction Among Primary Care Patients in the US (2021)Accuracy Requirements for Cos…Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data (2020)Predicting suicide attempt or…Analysing and Presenting Results (2010)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)Suicide Prevention Strategies (2005)Suicide and Suicidal Behavior (2008)The Columbia–Suicide Severity Rating Scale: Initial Validity and Internal Consistency Findings From Three Multisite Studies With Adolescents and Adults (2011)Suicide prediction models: a critical review of recent research with recommendations for the way forward (2019)Individual-level risk factors for suicide mortality in the general population: an umbrella review (2023)The Structure of Scientific Revolutions (1963)Measuring inconsistency in meta-analyses (2003)The interpersonal theory of suicide: A systematic review and meta-analysis of a decade of cross-national research. (2017)The integrated motivational–volitional model of suicidal behaviour (2018)Introduction to Meta‐Analysis (2021)Handbook of Religion and Health (2023)An Inventory for Measuring Depression (1961)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)Conducting Meta-Analyses in R with the metafor Package (2010)Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning (2018)Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value (2019)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Suicide Risk Assessment and Prevention: Challenges and Opportunities (2020)Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study (2023)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Suicide and suicidal behaviour (2015)Doctors, suicide and mental illness (2018)Effects of patient suicide on psychiatrists: survey of experiences and support required (2019)Cochrane Handbook for Systematic Reviews of Interventions (2010)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration (2018)Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? (2020)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015)Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia (2021)Selective serotonin reuptake inhibitors and suicidal behaviour: a population-based cohort study (2021)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records (2022)Suicide as an outcome for mental disorders (1997)Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010 (2012)Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach (2020)
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References

  • 2011QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies14,163 cited
  • 2016Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.3,773 cited
  • 2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies2,953 cited
  • 2019Prediction Models for Suicide Attempts and Deaths537 cited
  • 2017Predicting suicidal behaviours using clinical instruments: Systematic review and meta-analysis of positive predictive values for risk scales361 cited
  • 2015Suicide risk assessment and intervention in people with mental illness294 cited
  • 2017Instruments for the assessment of suicide risk: A systematic review evaluating the certainty of the evidence250 cited
  • 2017Can we usefully stratify patients according to suicide risk?112 cited
  • 2018The role of prediction in suicide prevention99 cited
  • 2019The prediction of suicide in severe mental illness: development and validation of a clinical prediction rule (OxMIS)92 cited

Cited by

  • 2020Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data80 cited
  • 2021Machine learning for suicidal ideation identification: A systematic literature review67 cited
  • 2021Accuracy Requirements for Cost-effective Suicide Risk Prediction Among Primary Care Patients in the US

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65 cited
  • 2024Moving Toward Meaningful Evaluations of Monitoring in e-Mental Health Based on the Case of a Web-Based Grief Service for Older Mourners: Mixed Methods Study2 cited
  • 2025The Role of Digital Technology in Youth Suicide Prevention2 cited