Evidence map›Paper›PMID 38890269›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Disparities in polysomnography referral in a high-risk cardiac population.

Kevin R Koss, Devesh Kumar, David R Friedland, Jazzmyne A Adams, Kathryn K Lauer, Ling Tong, Jake Luo, B Tucker Woodson

Abstract read
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

8 authors.

Kevin R KossDepartment of Otolaryngology and Communication Sciences, Medical College of Wisconsin, Milwaukee, WI, US.
Devesh KumarDepartment of Otolaryngology and Communication Sciences, Medical College of Wisconsin, Milwaukee, WI, US.
David R FriedlandDepartment of Otolaryngology and Communication Sciences, Medical College of Wisconsin, Milwaukee, WI, US.
Jazzmyne A AdamsDepartment of Otolaryngology and Communication Sciences, Medical College of Wisconsin, Milwaukee, WI, US.
Kathryn K LauerDepartment of Anesthesiology, Medical College of Wisconsin, Milwaukee, WI, US.
Ling TongDepartment of Health Informatics and Administration, University of Wisconsin, Milwaukee, US.
Jake LuoDepartment of Health Informatics and Administration, University of Wisconsin, Milwaukee, US.
B Tucker WoodsonDepartment of Otolaryngology and Communication Sciences, Medical College of Wisconsin, Milwaukee, WI, US. bwoodson@mcw.edu.ORCID 0000-0003-2396-2926

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
Advancing a Healthier Wisconsin Endowment UL1TR001436NCATS NIH HHS UL1 TR001436
6 · The paper itself

Abstract

purposeObstructive sleep apnea (OSA) is associated with metabolic, cardiovascular, and cerebrovascular comorbidities. Appropriate diagnosis and treatment of OSA might mitigate these comorbidities. This retrospective review sought to assess the impact of sex, age, race, ethnicity, and insurance status on polysomnography (PSG) referral rates.

methodsAn institutional STOP-Bang database of 299,320 patients was filtered for patients admitted to the hospital with an acute cardiac diagnosis between 2015-2020. A cohort of 4,735 patients were risk stratified by STOP-Bang (SB) score and correlations were made between PSG referrals and demographic and clinical variables (sex, age, race, ethnicity, and insurance status).

resultsOf the 25.3% of the cohort with high SB scores (5-8) only 21.3% were referred for PSG. Age and female sex were negatively associated with sleep study referrals (p < 0.001). No correlation was found between sleep study referral rates and race or ethnicity. No correlation was found between sleep study referrals and insurance provider. Admitting cardiac diagnosis significantly influenced sleep study referrals with diagnoses of arrhythmias and myocardial infarction being associated with an increased rate of PSG referrals compared to heart failure patients (p < 0.002).

conclusionsOur study found no significant correlation between PSG referral rates and race, ethnicity, or insurance provider. However, we found low overall rates of PSG referral, with negative correlations between older age and female sex and a high-risk cardiac population. This represents a substantial missed opportunity to identify patients at risk for OSA, obtain a diagnosis, and provider adequate treatment.

Indexed as

PolysomnographyReferral and ConsultationSleep Apnea, ObstructiveAdultAgedAge FactorsCardiovascular DiseasesFemaleHealthcare DisparitiesHeart DiseasesHumansMaleMiddle AgedRetrospective StudiesSex FactorsCardiovascular DiseaseOSAPolysomnographySTOP-Bang

Identifiers

PMID38890269
PMCPMC11456891

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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.