Subtopic Deep Dive
Suicidal Ideation Meta-Analyses
Research Guide
What is Suicidal Ideation Meta-Analyses?
Suicidal Ideation Meta-Analyses synthesize quantitative evidence from multiple studies to estimate effect sizes of risk factors for suicidal thoughts, identifying robust predictors across demographics, disorders, and stressors.
These meta-analyses pool data from longitudinal and cross-sectional studies to quantify associations like self-injurious thoughts with future ideation (Ribeiro et al., 2015, 1228 citations). They examine moderators such as age, gender, and sleep disturbance (Pigeon et al., 2012, 791 citations). Over 20 meta-analyses exist since 2009, with foundational work from WHO surveys (Nock et al., 2009, 910 citations).
Why It Matters
Meta-analyses like Ribeiro et al. (2018, 801 citations) clarify depression's role in ideation, guiding clinical screening in high-risk groups. Nock et al. (2009) highlight anxiety and impulse-control disorders as key predictors after comorbidity adjustment, informing global prevention policies. Miranda-Mendizábal et al. (2019, 782 citations) reveal gender differences in youth, supporting targeted interventions that reduce suicide rates by 20-30% in trials (Mehlum et al., 2014, 586 citations).
Key Research Challenges
Heterogeneity in Risk Estimates
Studies vary in ideation measurement, leading to high I² values over 80% (Ribeiro et al., 2015). Meta-regressions struggle with unmeasured confounders like culture (Nock et al., 2009). Standardized scales are needed for comparability.
Longitudinal Data Scarcity
Few studies track ideation to attempts over years, inflating short-term biases (Ribeiro et al., 2018). Publication bias underreports null findings on factors like sleep (Pigeon et al., 2012). Prospective cohorts remain underrepresented.
Moderator Identification
Age and gender effects differ by region, complicating subgroup analyses (Miranda-Mendizábal et al., 2019). Methodological quality varies, with only 40% of studies rated high (Lim et al., 2019). Advanced network meta-analysis is required.
Essential Papers
Epidemiology of Suicide and the Psychiatric Perspective
Silke Bachmann · 2018 · International Journal of Environmental Research and Public Health · 1.3K citations
Suicide is a worldwide phenomenon. This review is based on a literature search of the World Health Organization (WHO) databases and PubMed. According to the WHO, in 2015, about 800,000 suicides wer...
Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies
Jessica D. Ribeiro, Joseph C. Franklin, Kathryn R. Fox et al. · 2015 · Psychological Medicine · 1.2K citations
Background A history of self-injurious thoughts and behaviors (SITBs) is consistently cited as one of the strongest predictors of future suicidal behavior. However, stark discrepancies in the liter...
The impact of the COVID-19 pandemic on suicide rates
Leo Sher · 2020 · QJM · 1.1K citations
Summary Multiple lines of evidence indicate that the coronavirus disease 2019 (COVID-19) pandemic has profound psychological and social effects. The psychological sequelae of the pandemic will prob...
Cross-National Analysis of the Associations among Mental Disorders and Suicidal Behavior: Findings from the WHO World Mental Health Surveys
Matthew K. Nock, Irving Hwang, Nancy A. Sampson et al. · 2009 · PLoS Medicine · 910 citations
This study found that a wide range of mental disorders increased the odds of experiencing suicide ideation. However, after controlling for psychiatric comorbidity, only disorders characterized by a...
Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies
Jessica D. Ribeiro, Xieyining Huang, Kathryn R. Fox et al. · 2018 · The British Journal of Psychiatry · 801 citations
Background Many studies have documented robust relationships between depression and hopelessness and subsequent suicidal thoughts and behaviours; however, much weaker and non-significant effects ha...
Meta-Analysis of Sleep Disturbance and Suicidal Thoughts and Behaviors
Wilfred R. Pigeon, Martin Pinquart, Kenneth R. Conner · 2012 · The Journal of Clinical Psychiatry · 791 citations
Article AbstractObjective: The potential association of various sleep disturbances to suicidal thoughts and behaviors is the subject of several reviews. The current meta-analysis was conducted to e...
Gender differences in suicidal behavior in adolescents and young adults: systematic review and meta-analysis of longitudinal studies
Andrea Miranda-Mendizábal, Pere Castellví, Oleguer Parés‐Badell et al. · 2019 · International Journal of Public Health · 782 citations
Reading Guide
Foundational Papers
Start with Nock et al. (2009, 910 citations) for cross-national disorder associations, then Pigeon et al. (2012, 791 citations) for sleep effects, as they establish baseline ORs controlling for comorbidity.
Recent Advances
Study Ribeiro et al. (2018, 801 citations) on depression-hopelessness, Miranda-Mendizábal et al. (2019, 782 citations) on gender in youth, and Lim et al. (2019, 546 citations) for global prevalence trends.
Core Methods
Random-effects models (DerSimonian-Laird), meta-regression for moderators, GRADE for evidence quality, and trim-fill for publication bias adjustment.
How PapersFlow Helps You Research Suicidal Ideation Meta-Analyses
Discover & Search
Research Agent uses searchPapers('suicidal ideation meta-analysis risk factors') to find Ribeiro et al. (2015), then citationGraph reveals 500+ citing papers on self-harm predictors, and findSimilarPapers uncovers Nock et al. (2009) for cross-national comparisons.
Analyze & Verify
Analysis Agent applies readPaperContent on Ribeiro et al. (2015) to extract ORs for ideation, verifies response with CoVe against raw data, and runPythonAnalysis computes meta-regression on pooled effects using pandas, with GRADE grading assigning high evidence to longitudinal findings.
Synthesize & Write
Synthesis Agent detects gaps in adolescent moderators via gap detection on Miranda-Mendizábal et al. (2019), flags contradictions between sleep studies (Pigeon et al., 2012), and Writing Agent uses latexEditText, latexSyncCitations, and latexCompile to generate a review manuscript with exportMermaid for risk factor networks.
Use Cases
"Run meta-regression on sleep disturbance ORs from ideation studies using Python."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis(pandas meta-regression on Pigeon et al. (2012) data) → matplotlib forest plot output.
"Draft LaTeX section on gender differences in suicidal ideation meta-analyses."
Research Agent → exaSearch → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations(Miranda-Mendizábal et al., 2019) → latexCompile PDF.
"Find GitHub repos analyzing WHO suicide survey data."
Research Agent → paperExtractUrls(Nock et al., 2009) → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis on shared scripts for ideation models.
Automated Workflows
Deep Research workflow conducts systematic review: searchPapers(50+ ideation metas) → citationGraph → DeepScan(7-step verify with CoVe) → GRADE-graded report on predictors. Theorizer generates hypotheses from Ribeiro et al. (2015) chains to attempts. DeepScan analyzes post-discharge risks (Chung et al., 2017) with Python effect size pooling.
Frequently Asked Questions
What defines Suicidal Ideation Meta-Analyses?
They aggregate effect sizes from multiple studies on suicidal thoughts risks, using random-effects models to handle heterogeneity (Ribeiro et al., 2015).
What are common methods?
Longitudinal meta-analyses compute odds ratios with funnel plots for bias; network meta-analysis compares disorders (Nock et al., 2009; Ribeiro et al., 2018).
What are key papers?
Ribeiro et al. (2015, 1228 citations) on self-harm to ideation; Pigeon et al. (2012, 791 citations) on sleep; Nock et al. (2009, 910 citations) on mental disorders.
What open problems exist?
Integrating real-time data for dynamic risks; resolving publication bias in null findings; scaling to low-resource settings (Lim et al., 2019).
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Part of the Suicide and Self-Harm Studies Research Guide