Evidence map›Paper›PMID 34614114›Full record

ArticleClinics (Sao Paulo, Brazil)2021

Diagnostic accuracy of oximetry for obstructive sleep apnea: a study on older adults in a home setting.

João Carlos Fraga da Rosa, Alessandra Peres, Luciano Gasperin Júnior, Denis Martinez, Vania Fontanella

Open access · goldAbstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

João Carlos Fraga da RosaUniversidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre, RS, BR.ORCID 0000-0003-0503-9169
Alessandra PeresUniversidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre, RS, BR.ORCID 0000-0002-3587-2832
Luciano Gasperin JúniorUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR.ORCID 0000-0003-4431-7723
Denis MartinezUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR.ORCID 0000-0002-3578-0372
Vania FontanellaUniversidade Federal do Rio Grande do Sul, Porto Alegre, RS, BR.ORCID 0000-0001-9183-8447
Universidade Federal do Rio Grande do Sul · BRUniversidade Federal de Ciências da Saúde de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOwing to the fact that obstructive sleep apnea (OSA) is an underreported disease, the strategy used for the diagnosis of OSA has been extensively dissected to devise a simplified process that can be accessed by the public health services. Polysomnography (PSG) type I, the gold standard for the diagnosis of OSA, is expensive and difficult to access by low-income populations. In this study, we aimed to verify the accuracy of the oxyhemoglobin desaturation index (ODI) in comparison to the apnea-hypopnea index (AHI) using a portable monitor.

methodsWe evaluated 94 type III PSG home test results of 65 elderly patients (69.21±6.94 years old), along with information, such as the body mass index (BMI) and sex, using data obtained from a clinical trial database.

resultsA significant linear positive correlation (r=0.93, p<0.05) was observed between ODI and AHI, without any interference from sex, BMI, and positional component. The sensitivity of ODI compared to that of AHI increased with an increase in the severity of OSA, while the specificity of ODI in comparison to that of AHI was high for all degrees of severity. The accuracy of ODI was 80.7% for distinguishing between patients with mild and moderate apnea and 84.4% for distinguishing between patients with moderate and severe apnea.

conclusionThe ODI values obtained in uncontrolled conditions exhibited high sensitivity for identifying severe apnea compared to the AHI values, and correctly identified the severity of OSA in more than 80% of the cases. Thus, oximetry is promising strategy for diagnosing OSA.

Indexed as

Sleep Apnea, ObstructiveAgedBody Mass IndexHumansMiddle AgedOximetryPolysomnography

Identifiers

PMID34614114
PMCPMC8449931
OpenAlexW3199637418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.