Evidence map›Paper›PMID 25716745›Full record

ReviewSleep & breathing = Schlaf & Atmung2015

What can blood biomarkers tell us about cardiovascular risk in obstructive sleep apnea?

Ivan Guerra de Araújo Freitas, Pedro Felipe Carvalhedo de Bruin, Lia Bittencourt, Veralice Meireles Sales de Bruin, Sérgio Tufik

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sleep & breathing = Schlaf & Atmung, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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  5. Endothelin-1 as a novel target for the prevention of metabolic dysfunction with intermittent hypoxia in male participants.American journal of physiology. Regulatory, integrative and comparative physiology · 2022
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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.

Ivan Guerra de Araújo FreitasDepartment of Medicine, Universidade Federal do Ceará, Rua Prof. Costa Mendes, 1608/4° andar, 60430-140, Fortaleza, CE, Brazil.
Pedro Felipe Carvalhedo de Bruin
Lia Bittencourt
Veralice Meireles Sales de Bruin
Sérgio Tufik
Universidade Federal do Ceará · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite its high prevalence and frequent association with multiple comorbidities, including hypertension, heart disease, and stroke, obstructive sleep apnea (OSA) still lacks appropriate tools for cardiovascular risk assessment and stratification. Circulating biomarkers represent a safe, convenient, and inexpensive possibility, and several studies have been performed to define an ideal marker in this context. Additionally, biomarkers can provide insight into the pathological mechanisms of the disease and suggest new therapeutic approaches.

methodsIn the present review, the authors critically analyze the biomarkers of cardiovascular risk currently available and other potential markers, including brain natriuretic peptide, C-reactive protein, tumor necrosis factor alpha (TNF-alpha), interleukin 6 (IL-6), cysteine, homocysteine, free fatty acids, 8-isoprostane, gamma-glutamyl transferase, glycated hemoglobin, adipokines, and adhesion molecules.

conclusionThe results clearly demonstrate that the relationship between specific biomarkers and OSA is often influenced by age, gender or ethnicity, which has hindered the identification of a unique marker for the evaluation of all patients with OSA. Moreover, given the frequency of comorbidities in OSA, which, by themselves, increase the cardiovascular risk, all confounding factors must be considered in the evaluation of these biomarkers.

Indexed as

BiomarkersCardiovascular DiseasesHumansRisk FactorsSleep Apnea, ObstructiveStatistics as TopicBiomarkers

Identifiers

PMID25716745
OpenAlexW2079393709

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.