Evidence map›Paper›PMID 42765455›Full record

ArticleThe Cochrane database of systematic reviews2026

Diagnostic accuracy of biological markers for detecting obstructive sleep apnoea.

Graziela De Luca Canto, Patricia Pauletto, Cristine M Stefani, Eliete Ns Guerra, Ana Carolina Pereira Nunes Pinto, Nelson Carvas Junior, Carlos Flores Mir, David Gozal, Virginia Fm Trevisani

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In one paragraph

Article in The Cochrane database of systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Graziela De Luca CantoGraduate Program in Evidence-Based Health, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7986-8317
Patricia PaulettoDepartment fo Dentistry, University of the Americas, Quito, Ecuador.ORCID https://orcid.org/0000-0002-1762-7059
Cristine M StefaniDepartment of Dentistry, University of Brasilia, Brasilia, Brazil.ORCID https://orcid.org/0000-0003-4712-9779
Eliete Ns GuerraOral Histopathology Laboratory, Department of Dentistry, University of Brasília, Brasília, Brazil.ORCID https://orcid.org/0000-0002-7622-1550
Ana Carolina Pereira Nunes PintoGraduate Program in Evidence-Based Health, Federal University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-1505-877X
Nelson Carvas JuniorGraduate Program in Evidence-Based Health, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-2168-8927
Carlos Flores MirMike Petryk School of Dentistry, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0002-0887-9385
David GozalDepartment of Pediatrics, Joan C. Edwards School of Medicine, Huntington, West Virginia, USA.ORCID https://orcid.org/0000-0001-8195-6036
Virginia Fm TrevisaniGraduate Program in Evidence-Based Health, Department of Medicine, Federal University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7180-6285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis is a protocol for a Cochrane review (diagnostic). The objectives are as follows: To determine the accuracy of any type of biological marker found in blood, saliva, urine or breath condensation to detect obstructive sleep apnoea (OSA) in adults (> 18 years). Secondary objectives To identify the accuracy of individual biomarkers alone or in combination for detecting OSA. To find the accuracy of biological markers compared to overnight polysomnography (PSG) and home sleep apnoea test (HSAT). To investigate the accuracy of biological markers compared to overnight PSG and to HSAT in people with different degrees of severity of OSA (mild, moderate, severe). To evaluate the accuracy of biomarkers from different sample types to identify OSA.

Indexed as

BiomarkersSleep Apnea, ObstructiveAdultHumansPolysomnographySalivaBiomarkers

Identifiers

PMID42765455
PMCPMC13591557

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.