Evidence map›Paper›PMID 31916123›Full record

ArticleSleep & breathing = Schlaf & Atmung2020

Diagnostic performance of nocturnal oximetry in the detection of obstructive sleep apnea syndrome: a Brazilian study.

Julio Cezar Rodrigues Filho, Denise Duprat Neves, Luciane Velasque, Analúcia Abreu Maranhão, Maria Helena de Araujo-Melo

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Article
  3. Brazilian Thoracic Association Consensus on Sleep-disordered Breathing.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
  4. Article
  5. Article
  6. 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

5 authors at 2 institutions in 1 country.

Julio Cezar Rodrigues FilhoPPGNEURO UNIRIO, Rio de Janeiro, Brazil. jcrfilho@yahoo.com.ORCID https://orcid.org/0000-0002-6654-5869
Denise Duprat NevesLabSono - Sleep Laboratory of Gaffrée and Guinle University Hospital / UNIRIO, Mariz e Barros Street, 775, Tijuca, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0002-2161-8307
Luciane VelasqueDepartment of Quantitative Methods, Center for Exact and Earth Sciences, Federal University of Rio de Janeiro State, UNIRIO, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-4269-4755
Analúcia Abreu MaranhãoDepartment of Quantitative Methods, Center for Exact and Earth Sciences, Federal University of Rio de Janeiro State, UNIRIO, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-7698-231X
Maria Helena de Araujo-MeloLabSono - Sleep Laboratory of Gaffrée and Guinle University Hospital / UNIRIO, Mariz e Barros Street, 775, Tijuca, Rio de Janeiro, RJ, Brazil.ORCID https://orcid.org/0000-0003-1433-4151
Universidade Federal do Rio de Janeiro · BRHospital Universitário Gaffrée e Guinle · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDue to the increasing prevalence of obstructive sleep apnea (OSA), more practical diagnostic methods than polysomnography (PSG) have become necessary. This research aims to analyze the performance of nocturnal oximetry (NO) in the diagnosis of OSA.

methodsIn this cross-sectional study, we analyzed 41 variables provided by the oximetry of all PSG performed by the LabSono of University Hospital Gaffrée and Guinle, a total of 83 exams. We evaluated the correlation coefficients (Spearman) between these data and the Apnea/Hypopnea Index (AHI) and then calculated the diagnostics performances, by the area under the curve (ROC) (AUC), of the best correlated variables and their respective cutoffs, in the identification of an AHI ≥ 15/h.

resultsVirtually all oximetric data showed good correlations with AHI, except for some temporal data. We chose 5 of them and calculated their diagnostic performances. T < 90% shows AUC of 0.904 (0.835-0.972) and, at cutoff > 19 min, a sensitivity (Sens.) of 75.68% and specificity (Spec.) of 95.65%. DO3/10Total, AUC 0.936 (0.888-0.989), and at the cutoff > 51 has Sens. 97.3% and Spec. 76.09%. ODI3/10/h has AUC 0.932 (0.884-0.988), at the cutoff > 7/h, Sens. 97.3% and Spec. 78.26%. DO4/5Total AUC 0.932 (0.882-0.981), at the cutoff > 64 has Sens. 86.49% and Spec. 82.61% and ODI4/5/h has AUC 0.930 (0.880-0.981), the cutoff > 5.69/h Sens. 97.3% and Spec. 73.91%.

conclusionsOur study concludes that NO is accurate in identifying AHI > 15/h, and provides reliable information on PSG replacement, which could make the diagnosis of OSA cheaper and more comfortable.

Indexed as

AdultBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedOximetryPrognosisROC CurveSleep Apnea, ObstructiveDiagnosticNocturnal oximetryObstructive sleep apneaOSAOximetry

Identifiers

PMID31916123
OpenAlexW2999568200

What OpenQuestion holds

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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.