[Suicide--prediction and risk evaluation]

Area of Science:

• Psychiatry and Psychology
• Epidemiology
• Clinical Medicine

Context:

• Long-term prediction of suicide has proven difficult, often yielding too many false positive results.
• The paper reviews statistical risk factors including biological, psychosocial, personality, family history, and psychiatric disorders.
• Current limitations in predictive accuracy necessitate a focus on clinical assessment.

Purpose:

• To explore the challenges and possibilities in predicting suicide and evaluating suicide risk.
• To present statistical risk factors and discuss the utility of suicide rating scales.
• To critically evaluate the clinical applicability of biological markers for suicide risk.

Summary:

• Prospective studies for long-term suicide prediction have been largely unsuccessful due to high false positive rates.
• Five key areas of statistical risk factors are identified: biological, psychosocial, personality traits, family history, and psychiatric disorders.
• While biological markers are discussed, their clinical utility is questioned; clinical evaluation is emphasized for intervention.

Impact:

• Highlights the limitations of statistical prediction models in suicide risk assessment.
• Underscores the continued importance of clinical judgment in evaluating suicide risk.
• Provides a framework for understanding multifaceted suicide risk factors for clinicians and researchers.