A Meta-analysis of Clinical Screening Tests for Obstructive Sleep Apnea
Open accessAbstract
The purpose of this meta-analysis is to compare clinical screening tests for obstructive sleep apnea and establish an evidence base for their preoperative use. Diagnostic odds ratios were used as summary measures of accuracy, and false-negative rates were used as measures of missed diagnosis with each screening test in this review. Metaregression revealed that clinical models, logarithmic equations, combined techniques, cephalometry, and morphometry are significant characteristics, whereas body mass index, history of hypertension, and nocturnal choking are significant test elements associated with higher diagnostic accuracy. Test accuracy in repeated validation studies of the same screening test is variable, suggesting an underlying heterogeneity in either the clinical presentation of obstructive sleep apnea or the measured clinical elements of these models. Based on the false-negative rates, it is likely that most of the clinical screening tests will miss a significant proportion of patients with obstructive sleep apnea.
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Cephalometry alone may miss a significant proportion of patients with OSA in low-risk populations.
“Analysis of preoperative clinical screening tests for OSA revealed that cephalometry alone may miss a significant proportion of patients with OSA in low-risk populations.561”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [561]
The Discussion (p. 6) says false-negative rates mean most clinical prediction models may miss a significant proportion of patients with OSA. Study Limitations (p. 11) warns that models tested in high-risk patients can have lower sensitivity in lower-risk populations. The paper does not establish that cephalometry alone has this false-negative rate; it describes a combined clinical-cephalometry model as among the most accurate. (LLM, conf=0.84)
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- Authors
- Ramachandran, S. K., & Josephs, L. A.
- Affiliations
- Michigan Medicine (US)
- Medical Student.
- Venue
- Anesthesiology
- Published
- 2009-04-01
- Volume
- 110
- Issue
- 4
- Pages
- 928-939
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W2090495868
- Semantic Scholar
- 96975f4b61d63ccbe388c7ba3d8462ebdbdbfef0
- Cited by
- 297
- References
- 57
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 12 · 2023: 4 · 2022: 22 · 2021: 23 · 2020: 17 · 2019: 15 · 2018: 25 · 2017: 20 · 2016: 21 · 2015: 21 · 2014: 26 · 2013: 16 · 2012: 22
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Anesthesiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Airway Management and Intubation Techniques
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- obstructive sleep apnea, preoperative screening, diagnostic accuracy, false negative rate, cephalometric analysis, morphometrics, body mass index, hypertension, diagnostic odds ratio, meta-regression
- MeSH terms
- Clinical Protocols, Humans, Predictive Value of Tests, Surveys and Questionnaires, Risk Factors, Body Mass Index, Evidence-Based Medicine, Sleep Apnea, Obstructive
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