Evidence map›Paper›PMID 38469078›Full record

ReviewSleep and biological rhythms2023

Metabolomic approach for obstructive sleep apnea in adults: a systematic review.

Cristina Salles, Maria Clara Freitas, Amancio Souza, Paulo Ribeiro, Cristiane Dias, Michele Rosa, Miguel Meira E Cruz

Erratum issuedOpen access · greenAbstract readReview
In one paragraph

Review in Sleep and biological rhythms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 3 countries.

Cristina SallesInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.ORCID 0000-0001-8514-7631
Maria Clara FreitasInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Amancio SouzaInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Paulo RibeiroInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Cristiane DiasInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Michele RosaInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Miguel Meira E CruzInternational Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil.
Escola Bahiana de Medicina e Saúde Pública · BRUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive Sleep Apnea (OSA) corresponds to episodes of complete or partial upper airway obstruction during sleep. The gold standard for diagnosing OSA is polysomnography; however, metabolomics is an innovative and highly sensitive method that seeks to identify and quantify small molecules in biological systems. Identify the metabolites most frequently associated with obstructive sleep apnea in adults. The search for articles was conducted between October 2020 and August 2021, in electronic databases, such as MEDLINE/PubMed, Scielo, Embase, and Cochrane, through the combination of descriptors: obstructive sleep apnea, metabolomic, adult. This systematic review included all cross-sectional studies published, including human patients aged 18 years or older, of both genders who underwent type I or II polysomnography and metabolomics study. The search strategy selected 3697 surveys, and 4 of them were selected to be a part of this systematic review. Based on the analyzed surveys, it was found that all of them were able to diagnose OSA, reaching a sensitivity of 75-97%, and specificity that ranged from 72 to 100%; besides differentiating patients with OSA (severe, moderate, and mild) from simple snorers with a mean sensitivity of 77.2% and specificity of 66.25%. These findings suggest that, in addition to being used as a screening and diagnostic strategy for OSA, metabolomics has the potential to be used for severity stratification and to monitor the disease's progression.

Indexed as

AdultsMetabolomicObstructive sleep apnea

Identifiers

PMID38469078
PMCPMC10899929
OpenAlexW4319591462

What OpenQuestion holds

Textmetadata
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.