Screening for Depression in Medical Settings with the Patient Health Questionnaire (PHQ): A Diagnostic Meta-Analysis

By S. Gilbody, D. Richards, S. Brealey, Catherine Hewitt. Journal of general internal medicine, 2007

1,284 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine, Oncology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/419fec33f1a07ee2e7d75ad1f2ef4068d3b21d39

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. B. Löwe
2. K. Kroenke
3. Janet B W Williams
4. R. Spitzer
5. D. McMillan
6. L. Manea
7. Marzyeh Ghassemi
8. S. Gilbody

In Oncology

1. B. Löwe
2. K. Kroenke
3. R. Spitzer
4. Janet B W Williams
5. D. McMillan
6. L. Manea
7. S. Gilbody
8. D. Eisenberg

In Social Psychology

1. B. Löwe
2. K. Kroenke
3. Janet B W Williams
4. R. Spitzer
5. D. McMillan
6. L. Manea
7. S. Gilbody
8. J. Hunt

Citations in the corpus

• Mental Health in American Colleges and Universities: Variation Across Student Subgroups and Across Campuses (2013, background): “Two recent meta-analyses demonstrated a sensitivity of 77% to 80% and a specificity of 92% to 94% for diagnosing major depression (Gilbody et al., 2007; Wittkampf et al., 2007).”
• Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis (2012, result): “This systematic review of the diagnostic properties of the PHQ-9 for different cut-off scores follows previous recommendations to analyze the sensitivity and specificity of the PHQ-9 at various cut-off scores using bivariate meta-analysis.(6,7) Our results support previous findings that PHQ-9 has ac”
• Detecting Depression with Audio/Text Sequence Modeling of Interviews (2018, methodology): “These outcomes were pre-defined in the DAIC dataset, and were derived from the PHQ-8 depression questionnaire screening the subjects underwent [22].”
• A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depression. (2015, methodology): “summarize diagnostic properties of the PHQ-9 for different scoring methods using a bivariate meta-analysis [47,48].”
• Screening for Depression in the General Population with the Center for Epidemiologic Studies Depression (CES-D): A Systematic Review with Meta-Analysis (2016, neutral): “Perhaps the CES-D can be more fairly compared with the depression module of the Patient Health Questionnaire (PHQ-9), which has become increasingly popular over the past decade for detecting major depressive disorders in various clinical settings.”
• The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review. (2010, methodology): “A sufficient number of subsequent studies have evaluated the operating characteristics of the PHQ-9 to allow two diagnostic meta-analyses to be conducted [16,17].”
• The PHQ-8 as a measure of current depression in the general population. (2009, neutral): “Disorders (2008), doi:10.1016/j.jad.2008.06.026 disorders ( Gilbody et al., 2007b ).”
• Diagnosis and Treatment of Polycystic Ovary Syndrome: An Endocrine Society Clinical Practice Guideline (2013, methodology): “Although a history of depression or anxiety may be present in many women and adolescents with PCOS, for those without a prior diagnosis, a simple office screen using a two-item questionnaire such as the PHQ-2 may be helpful (140).”