SynthesisThe British journal of general practice : the journal of the Royal College of General Practitioners2011
Case identification of depression in patients with chronic physical health problems: a diagnostic accuracy meta-analysis of 113 studies.
Synthesis in The British journal of general practice : the journal of the Royal College of General Practitioners, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04039568 (Meditation Versus Education for Improving Depression in Chronic Pain, a Randomized Controlled Trial), which is not on this map. Cited by 55 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Meditation Versus Education for Improving Depression in Chronic Pain, a Randomized Controlled Trial
Who cites it
55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.
- Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis.BMJ (Clinical research ed.) · 2021Pooled it
- Psychological therapies for the treatment of depression in chronic obstructive pulmonary disease.The Cochrane database of systematic reviews · 2019Pooled it
- Pharmacological interventions for the treatment of depression in chronic obstructive pulmonary disease.The Cochrane database of systematic reviews · 2018Pooled it
- The downward spiral of mental disorders and educational attainment: a systematic review on early school leaving.BMC psychiatry · 2014Pooled it
- Sex as a moderator of the association between cardiorespiratory fitness and depressive symptoms in older adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Trial
- A Multi-Site, Randomized, Parallel-Group, Controlled Trial of Virtually-Delivered Sahaj Samadhi Meditation for the Management of Moderate Depressive Symptoms in Chronic Pain.Journal of pain research · 2025Trial
- Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual care.Journal of affective disorders · 2023Trial
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- Stress, Health Behaviors, and Blood Pressure in College Students.Health science reports · 2026Article
- Psychosocial Factors and Disease Localization as Independent Predictors of Sexual Dysfunction in Women with Endometriosis.Journal of clinical medicine · 2025Article
- Psychological Outcomes and Quality of Life After Hysterectomy for Benign Diseases: A Prospective Cohort Study.Cureus · 2024Article
- Depression in healthcare workers during COVID-19 pandemic: results from Czech arm of HEROES Study.Scientific reports · 2023Article
- Psychosocial hazards, posttraumatic stress disorder, complex posttraumatic stress disorder, depression, and anxiety in the U.K. rail industry: A cross-sectional study.Journal of traumatic stress · 2022Article
- Article
- Importance of personality and coping expectancy on patient-reported hearing disability, quality of life and distress level: a study of patients referred to an audiology service.Health and quality of life outcomes · 2021Article
- Global Burden of Anxiety and Depression among Cystic Fibrosis Patient: Systematic Review and Meta-Analysis.International journal of chronic diseases · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDepression is more likely in patients with chronic physical illness, and is associated with increased rates of disability and mortality. Effective treatment of depression may reduce morbidity and mortality. The use of two stem questions for case finding in diabetes and coronary heart disease is advocated in the Quality and Outcomes Framework, and has become normalised into primary care.
aimTo define the most effective tool for use in consultations to detect depression in people with chronic physical illness.
designMeta-analysis.
methodThe following data sources were searched: CENTRAL, CINAHL, Embase, HMIC, MEDLINE, PsycINFO, Web of Knowledge, from inception to July 2009. Three authors selected studies that examined identification tools and used an interview-based ICD (International Classification of Diseases) or DSM (Diagnostic and statistical Manual of Mental Disorders) diagnosis of depression as reference standard. At least two authors independently extracted study characteristics and outcome data and assessed methodological quality.
resultsA total of 113 studies met the eligibility criteria, providing data on 20,826 participants. It was found that two stem questions, PHQ-9 (Patient Health Questionnaire), the Zung, and GHQ-28 (General Health Questionnaire) were the optimal measures for case identification, but no method was sufficiently accurate to recommend as a definitive case-finding tool. Limitations were the moderate-to-high heterogeneity for most scales and the facts that few studies used ICD diagnoses as the reference standard, and that a variety of methods were used to determine DSM diagnoses.
conclusionAssessing both validity and ease of use, the two stem questions are the preferred method. However, clinicians should not rely on the two-questions approach alone, but should be confident to engage in a more detailed clinical assessment of patients who score positively.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.