Evidence map›Paper›PMID 30937193›Full record

ArticleSleep disorders2019

Electrocardiographic Associations Seen with Obstructive Sleep Apnea.

Shyam Shankar, Sushilkumar Satish Gupta, Geurys Rojas-Marte, Selma Demir, Abhinav Saxena, Chukwudi Obiagwu, Nidhi Aggarwal, Anand Kumar Rai, Stephan Kamholz, Vijay Shetty and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Sleep disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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.

Shyam ShankarFellow, Department of Pulmonary and Critical Care Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Sushilkumar Satish GuptaFellow, Department of Pulmonary and Critical Care Medicine, Maimonides Medical Center, Brooklyn, New York, USA.ORCID 0000-0002-2594-0694
Geurys Rojas-MarteFellow, Department of Cardiology, Rutgers, New Jersey Medical School, Newark, New Jersey, USA.
Selma DemirAttending, Department of Medicine, Baystate Medical Center, Springfield, Massachusetts, USA.
Abhinav SaxenaFellow, Department of Cardiology, Maimonides Medical Center, Brooklyn, New York, USA.
Chukwudi ObiagwuFellow, Department of Cardiology, Maimonides Medical Center, Brooklyn, New York, USA.
Nidhi AggarwalAttending, Department of Pulmonary and Critical Care, Maimonides Medical Center, Brooklyn, New York, USA.
Anand Kumar RaiFellow, Department of Pulmonary and Critical Care Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Stephan KamholzChairman, Department of Internal Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Vijay ShettyAttending, Department of Cardiology, Maimonides Medical Center, Brooklyn, New York, USA.
Yizhak KupferDirector, Department of Critical Care Medicine, Maimonides Medical Center, Brooklyn, New York, USA.
Maimonides Medical Center · USBaystate Medical Center · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is a chronic respiratory disorder associated with repeated nocturnal partial or complete collapse that is often underdiagnosed and associated with multiple comorbidities. The association between specific features on an electrocardiogram and OSA has not been well studied. This retrospective study attempts to bridge this gap in knowledge.

methodsA total of 265 patients' medical records were reviewed retrospectively. Specific features of their electrocardiograms and their association with the severity of OSA were studied from April 2014 to May 2016. 215 patients were included in the final analysis. Tests of group difference between OSA patients and controls were done using student's t-tests for continuous variables and using chi-square tests for categorical outcomes. Multivariate tests of differences between OSA and control patients were done using logistic regression to control for possible confounding factors.

resultsA total of 215 patients with diagnosed OSA and 41 controls in whom OSA was ruled out using polysomnography were compared. Males were more likely to present with OSA than females (93 % versus 76 %; p < 0.001). OSA patients were also significantly older: 52.18 ± 14.04 versus 44.55 ± 14.64; p = 0.002. Deep S waves in V5-6 (p=0.014) and RS pattern with Deep S waves in leads I and AVF (p=0.017) were both significantly associated with OSA based on univariate comparisons. These findings lost significance in the multivariate analysis.

conclusionThe idea of using an electrocardiogram in aiding in the assessment of OSA is attractive and feasible, as it is a safe, noninvasive, and cost-effective method. Our results can be used for early risk stratification in patients with OSA.

Identifiers

PMID30937193
PMCPMC6415287
OpenAlexW2917617018

What OpenQuestion holds

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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.