SynthesisSleep & breathing = Schlaf & Atmung2024
Diagnostic utility of obstructive sleep apnea screening questionnaires: a comprehensive meta-analysis.
Synthesis in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Screening obstructive sleep apnea using clinical questionnaires and the triglyceride-glucose index: a cardiovascular risk-based approach.NPJ primary care respiratory medicine · 2026Article
- Screening for obstructive sleep apnea in an Afro-Caribbean Population: Diagnostic performance of common questionnaires compared with respiratory polygraphy - The MASOS Study A prospective, cross-sectional, descriptive, and analytical study.Sleep & breathing = Schlaf & Atmung · 2026Article
- Article
- Effects of time-restricted eating on weight loss, sleep, and quality of life in obstructive sleep apnea-hypopnea syndrome (OSAHS) patients with obesity: a randomized controlled trial.Frontiers in nutrition · 2026Article
- NoSAS score and the 5-year risk of incident cerebrovascular disease: a retrospective cohort study.Frontiers in medicine · 2026Article
- Obstructive Sleep Apnea Risk and Mental Health Conditions Among Older Canadian Adults in the Canadian Longitudinal Study on Aging.JAMA network open · 2025Article
- Validity and reliability of the Spanish version of the Epworth Sleepiness Scale.Sleep & breathing = Schlaf & Atmung · 2025Article
- The Association of Body Mass Index and Adiposity-Estimating Equations with Measures of Obstructive Sleep Apnea Severity: A Cross-Sectional Study.Nature and science of sleep · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectivesThe main objective of this meta-analysis was to assess the accuracy of the Sleep-Related Breathing Disorder (SRBD) Scale in the diagnosis of obstructive sleep apnea syndrome (OSAS).
methodsA comprehensive review and meta-analysis of observational studies evaluating the diagnostic utility of OSA screening questionnaires were performed. Analyses determined the summary receiver operator characteristic area under the curve (SROC), the pooled sensitivity (Se), and the specificity (Sp). Subgroup analysis investigated and compared the summary sensitivity, specificity, and diagnostic odds ratio (DOR) among the BQ, STOP, and ESS according to the severity of OSA.
results34 studies were included. The Berlin questionnaire had a sensitivity of 0.80 and a specificity of 0.48, while the Epworth sleepiness scale had a sensitivity of 0.48 and a specificity of 0.73. The STOP-BANG scale had a sensitivity and specificity of 0.89 and 0.40, respectively. The diagnostic accuracy of BQ, ESS, NoSAS, and STOP was evaluated based on OSA severity. BQ and STOP had higher sensitivity and specificity, while ESS had lower specificity.
conclusionsThe current meta-analysis indicates that the SRBD scale has acceptable accuracy in detecting patients with OSAS. We propose that the STOP questionnaire could be used as an easy-to-use and accurate screening tool for the identification of patients at risk for OSAS in the general population. ESS had higher specificity, allowing healthcare professionals to prioritize interventions and tailor treatment plans based on OSA severity.
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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.