Evidence map›Paper›PMID 36230943›Full record

Observational studyCells2022

Validating Discriminative Signatures for Obstructive Sleep Apnea in Exhaled Breath.

Bettina Streckenbach, Martin Osswald, Stefan Malesevic, Renato Zenobi, Malcolm Kohler

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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.

Bettina StreckenbachETH Zurich, Department of Chemistry and Applied Biosciences, 8093 Zurich, Switzerland.
Martin OsswaldDepartment of Pulmonology, University Hospital Zürich, 8091 Zurich, Switzerland.
Stefan MalesevicDepartment of Pulmonology, University Hospital Zürich, 8091 Zurich, Switzerland.
Renato ZenobiETH Zurich, Department of Chemistry and Applied Biosciences, 8093 Zurich, Switzerland.
Malcolm KohlerDepartment of Pulmonology, University Hospital Zürich, 8091 Zurich, Switzerland.
University Hospital of Zurich · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and reliable tools for the diagnosis and monitoring of obstructive sleep apnea (OSA) are currently lacking. Prior studies using a chemical analysis of exhaled breath have suggested the existence of an OSA-specific metabolic signature. Here, we validated this diagnostic approach and the proposed marker compounds, as well as their potential to reliably diagnose OSA. In this cross-sectional observational study, exhaled breath was analyzed using secondary electrospray ionization high-resolution mass spectrometry. The study cohort included untreated OSA patients, OSA patients treated with continuous positive airway pressure and healthy subjects. The robustness of previously reported OSA markers was validated based on detectability, significant differences between groups (Mann-Whitney U test) and classification performance. The breath analysis of 118 participants resulted in 42 previously reported markers that could be confirmed in this independent validation cohort. Nine markers were significantly increased in untreated OSA compared to treated OSA, with a subset of them being consistent with a previous validation study. An OSA prediction based on the confirmed OSA signature performed with an AUC of 0.80 (accuracy 77%, sensitivity 73% and specificity 80%). As several breath markers were clearly found to be repeatable and robust in this independent validation study, these results underscore the clinical potential of breath analysis for OSA diagnostics and monitoring.

Indexed as

ExhalationSleep Apnea, ObstructiveBiomarkersBreath TestsContinuous Positive Airway PressureCross-Sectional StudiesHumansBiomarkersbiomarkersbreath analysismass spectrometryobstructive sleep apneaSESI-HRMSvalidation

Identifiers

PMID36230943
PMCPMC9563926
OpenAlexW4297151163

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.