Evidence map›Paper›PMID 33089773›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2021

A population-based estimate of the health care burden of obstructive sleep apnea using a STOP-BAG questionnaire in South Carolina.

Charlie Strange, Chelsea L Richard, Shuxiang Shan, Barbara A Phillips, Sarojini Kanotra, M Bradley Drummond, Lindsay Megenhardt, Chitra Lal, Roy A Pleasants

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 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
1.2field-weighted citation impact, top 21% 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, 16 citations in OpenAlex.

  1. Review
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  7. Comorbidities and quality of life in Australian men and women with diagnosed and undiagnosed high-risk obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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  8. Worsening sleep quality across the lifespan and persistent sleep disturbances in persons with opioid use disorder.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
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  9. Article
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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

9 authors at 7 institutions in 2 countries.

Charlie StrangeDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina.
Chelsea L RichardSouth Carolina Department of Health and Environmental Control, Columbia, South Carolina.
Shuxiang ShanTianjin Baodi Hospital, Tianjin, China.
Barbara A PhillipsDivision of Pulmonary Medicine, University of Kentucky, Lexington, Kentucky.
Sarojini KanotraDivision of Pulmonary Medicine, University of Kentucky, Lexington, Kentucky.
M Bradley DrummondDivision of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Lindsay MegenhardtNova Southeastern University, Broward County, Florida.
Chitra LalDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Medical University of South Carolina, Charleston, South Carolina.
Roy A PleasantsDivision of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Medical University of South Carolina · USUniversity of North Carolina at Chapel Hill · USKentucky Department for Public Health · USNova Southeastern University · USSouth Carolina Department of Health and Environmental Control · USTianjin Hospital · CNUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesPopulation based estimates of obstructive sleep apnea (OSA) frequency and health impact are incomplete. The aim of this study was to determine the prevalence of risk factors for physician and sleep study diagnosed OSA among individuals in a state-based surveillance program.

methodsUsing questions inserted into the 2016 (n = 5,564) and 2017 (n = 10,884) South Carolina Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention, we analyzed the prevalence of physician diagnosed OSA and associated comorbidities. The validated STOP-BANG questionnaire without neck circumference (STOP-BAG) defined populations at moderate risk (score 3-4) and high risk (score 5-7). Statistical analysis using weighted prevalence and means and their 95% confidence intervals (CI) thus reflect population estimates of disease burden.

resultsThe population-based prevalence of physician diagnosed OSA in South Carolina was 9.7% (95% CI: 9.0-10.4). However, the populations with moderate risk (18.5%, 95% CI: 17.3-19.8) and high risk (25.5%, 95% CI: 23.9-27.1) for OSA, as determined by the STOP-BAG questionnaire, were much higher. Compared to those at low risk for OSA, those at high risk were more often diagnosed with coronary heart disease, stroke, asthma, skin cancer, other cancers, chronic obstructive pulmonary disease, arthritis, depression, kidney disease, and diabetes (all P < .001).

conclusionsOSA is common and strongly associated with major comorbidities. As such, this public health crisis warrants more diagnostic and therapeutic attention. The STOP-BAG questionnaire provides a public health platform to monitor this disease.

Indexed as

Sleep Apnea, ObstructiveDelivery of Health CareHumansPolysomnographySouth CarolinaSurveys and Questionnairesobstructive sleep apneaOSAsleep apneaSTOP-BAG

Identifiers

PMID33089773
PMCPMC7927332
OpenAlexW3094042217

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.