Evidence map›Paper›PMID 34027347›Full record

ArticleCJC open2021

Screening for Obstructive Sleep Apnea in an Atrial Fibrillation Population: What's the Best Test?

Samantha Y Starkey, Daniel R Jonasson, Stephanie Alexis, Susan Su, Ravinder Johal, Paul Sweeney, Penelope M A Brasher, John Fleetham, Najib Ayas, Teddi Orenstein and 1 more

Open access · goldAbstract read
In one paragraph

Article in CJC open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity.Advances in experimental medicine and biology · 2022
    Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Samantha Y StarkeyFaculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Daniel R JonassonUniversity of British Columbia, Vancouver, British Columbia, Canada.
Stephanie AlexisFaculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Susan SuVancouver Coastal Health, Vancouver, British Columbia, Canada.
Ravinder JohalVancouver Coastal Health, Vancouver, British Columbia, Canada.
Paul SweeneyVancouver Coastal Health, Vancouver, British Columbia, Canada.
Penelope M A BrasherCentre for Clinical Epidemiology and Evaluation (C2E2), Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada.
John FleethamDepartment of Medicine, Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Najib AyasDepartment of Medicine, Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Teddi OrensteinDepartment of Medicine, Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada.
Iqbal H AhmedDepartment of Medicine, Division of Respiratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
University of British Columbia · CAVancouver Coastal Health · CAVancouver Coastal Health Research Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong individuals with nonvalvular atrial fibrillation (AF), the prevalence of obstructive sleep apnea (OSA) can be as high as 85%. Continuous positive airway pressure treatment for moderate or severe OSA might improve AF outcomes and quality of life, so early identification of OSA might be of value. However, screening questionnaires for OSA are suboptimal because they are weighted toward tiredness and loud snoring, which might be absent in AF patients. NoSAS (

methodsWe prospectively compared the accuracy of the NoSAS, the STOP-BANG questionnaire (

resultsOf 188 participants, 86% had OSA and 49% had moderate or severe OSA. Mean Epworth Sleepiness Scale scores were low; 5.9 (SD, 3.9), indicating that most participants were not sleepy. Receiver operating characteristic curves for comparisons of screening tests with HSAT showed suboptimal accuracy. For moderate plus severe and severe only groups respectively, the area under the curve was 0.50 (95% confidence interval [CI], 0.42-0.58) and 0.42 (95% CI, 0.34-0.52) for AP, 0.65 (95% CI, 0.58-0.73) and 0.63 (95% CI, 0.52-0.74) for the STOP-BANG questionnaire, and 0.68 (95% CI, 0.60-0.75) and 0.69 (95% CI, 0.59-0.80) for the NoSAS.

conclusionsAP and NoSAS are not sufficiently accurate for screening AF patients for OSA. Because of the high rates of OSA in this cohort, the potential benefits of OSA treatment, and the suboptimal accuracy of current screening questionnaires, cardiologists should consider HSAT for AF patients.

Identifiers

PMID34027347
PMCPMC8129472
OpenAlexW3110113358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.