Literature DB >> 10875559

Systematic review and meta-analysis of the literature regarding the diagnosis of sleep apnea.

S D Ross1, I A Sheinhait, K J Harrison, M Kvasz, J E Connelly, S A Shea, I E Allen.   

Abstract

To establish the evidence base for the diagnosis of sleep apnea (SA) in adult patients, a systematic review of the literature from 1980 through November 1, 1997 was performed. Diagnostic studies were included if they reported results of any test to establish or support a diagnosis of SA, in comparison to a diagnosis from a full polysomnogram (PSG). Test results were meta-analyzed using fixed effects models and summary receiver operating characteristic curves (ROCs) to examine consistency of tests within and between diagnostics vs. the "gold standard" of PSG. From a total of 937 studies, 249 fit the broad eligibility criteria for inclusion in the clinical trial database and its data were extracted from these reports; useable data for statistical analyses were reported in 71 studies (7,572 patients). The sensitivity and specificity of partial channel and partial time PSGs appeared most promising as replacements for full PSG in patients suspected of obstructive SA. Clinical prediction rules (multivariate models) were also promising. Studies of portable sleep monitors, radiologic or morphologic features, and focused questionnaires were too heterogeneous to be meta-analyzed. In general, the diversity of study designs and objectives were very high and the methodological rigor of these studies as assessments of diagnostic tests was very low. Thus, we are still not in a position to recommend standardization of diagnostic methodology for sleep apnea. Instead, our recommendations for future research include standardization of terms and diagnostic criteria, and consistently reported statistics to enhance the utility of this literature.

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Mesh:

Year:  2000        PMID: 10875559

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  32 in total

1.  Time course of changes in driving simulator performance with and without treatment in patients with sleep apnoea hypopnoea syndrome.

Authors:  P M Turkington; M Sircar; D Saralaya; M W Elliott
Journal:  Thorax       Date:  2004-01       Impact factor: 9.139

Review 2.  Sleep . 3: Clinical presentation and diagnosis of the obstructive sleep apnoea hypopnoea syndrome.

Authors:  D Schlosshan; M W Elliott
Journal:  Thorax       Date:  2004-04       Impact factor: 9.139

3.  Operating characteristics of the negative expiratory pressure technique in predicting obstructive sleep apnoea syndrome in snoring patients.

Authors:  A Van Meerhaeghe; P Delpire; P Stenuit; M Kerkhofs
Journal:  Thorax       Date:  2004-10       Impact factor: 9.139

Review 4.  Lateral teleradiography of the head as a diagnostic tool used to predict obstructive sleep apnea.

Authors:  Juste Armalaite; Kristina Lopatiene
Journal:  Dentomaxillofac Radiol       Date:  2015-08-03       Impact factor: 2.419

5.  The STOP-Bang equivalent model and prediction of severity of obstructive sleep apnea: relation to polysomnographic measurements of the apnea/hypopnea index.

Authors:  Robert J Farney; Brandon S Walker; Robert M Farney; Gregory L Snow; James M Walker
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

6.  Craniofacial profile in Asian and white subjects with obstructive sleep apnoea.

Authors:  B Lam; M S M Ip; E Tench; C F Ryan
Journal:  Thorax       Date:  2005-06       Impact factor: 9.139

7.  To auto-titrate or not auto-titrate: is the question answered?

Authors:  Salma Batool-Anwar; Stuart F Quan
Journal:  J Clin Sleep Med       Date:  2014-12-15       Impact factor: 4.062

Review 8.  Sleep apnoea.

Authors:  Michael Hensley; Cheryl Ray
Journal:  BMJ Clin Evid       Date:  2009-06-04

9.  Design, construction and evaluation of an ambulatory device for screening of sleep apnea.

Authors:  P Tiihonen; A Pääkkönen; E Mervaala; T Hukkanen; J Töyräs
Journal:  Med Biol Eng Comput       Date:  2008-11-05       Impact factor: 2.602

10.  Validation of a New System Using Tracheal Body Sound and Movement Data for Automated Apnea-Hypopnea Index Estimation.

Authors:  Christoph Kalkbrenner; Manuel Eichenlaub; Stefan Rüdiger; Cornelia Kropf-Sanchen; Rainer Brucher; Wolfgang Rottbauer
Journal:  J Clin Sleep Med       Date:  2017-10-15       Impact factor: 4.062

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