ArticleJAMA network open2024
Data-Driven Cutoff Selection for the Patient Health Questionnaire-9 Depression Screening Tool.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Depression among women with cervical cancer: a systematic review and meta-analysis of available evidence.BMC psychiatry · 2026Pooled it
- Effect of AI-Based Natural Language Feedback on Engagement and Clinical Outcomes in Fully Self-Guided Internet-Based Cognitive Behavioral Therapy for Depression: 3-Arm Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient-Centered Intervention Network Cohort Study.Arthritis care & research · 2026Article
- Prevalence and Associated Factors of Depressive Symptoms Among Adults During Armed Conflict in Sudan: The Role of Internal Displacement.Healthcare (Basel, Switzerland) · 2026Article
- Prevalence of and associated factors for depression among men seeking fertility care services at Gadarif in Eastern Sudan: a cross-sectional study.BMC public health · 2026Article
- A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care.European archives of psychiatry and clinical neuroscience · 2026Article
- Prevalence, predictors, and functional impact of postpartum depression using the Patient Health Questionnaire-9 (PHQ-9) among 830 women.BMC pregnancy and childbirth · 2026Observational
- Rethinking measurement of health outcomes in Long COVID: complexities, challenges and considerations.Health and quality of life outcomes · 2026Article
- Prevalence and correlates of neurocognitive impairment among older persons in rural Eastern Uganda.NPJ dementia · 2026Article
- Psychiatric health of Icelandic adults 40 years or older: A nationwide study of diagnoses, medications, and symptoms.PloS one · 2026Article
- Prevalence and Predictors of Poor Sleep Quality Among Adolescents in Central Sudan: The Role of Depression, Anxiety, and Gender.International journal of general medicine · 2026Article
- Association of depressive symptoms with sweat chloride variability and medication possession ratio during long-term Elexacaftor/Tezacaftor/Ivacaftor therapy in adolescents and young adults with cystic fibrosis.Frontiers in pediatrics · 2026Article
- Prevalence of and Factors Associated with Cognitive Impairment Among Adults in Central Sudan: A Community-Based Cross-Sectional Study.International journal of general medicine · 2026Article
- Association between eHealth literacy and anxiety and depression in Chinese patients scheduled for combined orthodontic and orthognathic treatment.Scientific reports · 2025Article
- Impact of intimate partner violence during pregnancy on maternal mental health and child development: a birth cohort study in central Vietnam.Osong public health and research perspectives · 2025Article
- Ready-to-eat food intake associates with PHQ-9-based depression in US adults: a cross-sectional study.BMC public health · 2025Article
- Association between weekend catch-up sleep and specific depressive symptoms: a real world research.Frontiers in psychiatry · 2025Article
- Proton pump inhibitor use and risk of depression among Sudanese adults: a cross-sectional community-based study.Frontiers in psychiatry · 2025Article
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Abstract
Importance: Test accuracy studies often use small datasets to simultaneously select an optimal cutoff score that maximizes test accuracy and generate accuracy estimates. Objective: To evaluate the degree to which using data-driven methods to simultaneously select an optimal Patient Health Questionnaire-9 (PHQ-9) cutoff score and estimate accuracy yields (1) optimal cutoff scores that differ from the population-level optimal cutoff score and (2) biased accuracy estimates. Design, Setting, and Participants: This study used cross-sectional data from an existing individual participant data meta-analysis (IPDMA) database on PHQ-9 screening accuracy to represent a hypothetical population. Studies in the IPDMA database compared participant PHQ-9 scores with a major depression classification. From the IPDMA population, 1000 studies of 100, 200, 500, and 1000 participants each were resampled. Main Outcomes and Measures: For the full IPDMA population and each simulated study, an optimal cutoff score was selected by maximizing the Youden index. Accuracy estimates for optimal cutoff scores in simulated studies were compared with accuracy in the full population. Results: The IPDMA database included 100 primary studies with 44 503 participants (4541 [10%] cases of major depression). The population-level optimal cutoff score was 8 or higher. Optimal cutoff scores in simulated studies ranged from 2 or higher to 21 or higher in samples of 100 participants and 5 or higher to 11 or higher in samples of 1000 participants. The percentage of simulated studies that identified the true optimal cutoff score of 8 or higher was 17% for samples of 100 participants and 33% for samples of 1000 participants. Compared with estimates for a cutoff score of 8 or higher in the population, sensitivity was overestimated by 6.4 (95% CI, 5.7-7.1) percentage points in samples of 100 participants, 4.9 (95% CI, 4.3-5.5) percentage points in samples of 200 participants, 2.2 (95% CI, 1.8-2.6) percentage points in samples of 500 participants, and 1.8 (95% CI, 1.5-2.1) percentage points in samples of 1000 participants. Specificity was within 1 percentage point across sample sizes. Conclusions and Relevance: This study of cross-sectional data found that optimal cutoff scores and accuracy estimates differed substantially from population values when data-driven methods were used to simultaneously identify an optimal cutoff score and estimate accuracy. Users of diagnostic accuracy evidence should evaluate studies of accuracy with caution and ensure that cutoff score recommendations are based on adequately powered research or well-conducted meta-analyses.
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