Evidence map›Paper›PMID 36479147›Full record

ArticleiScience2022

An interoperability framework for multicentric breath metabolomic studies.

Amanda Gisler, Kapil Dev Singh, Jiafa Zeng, Martin Osswald, Mo Awchi, Fabienne Decrue, Felix Schmidt, Noriane A Sievi, Xing Chen, Jakob Usemann and 4 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. ACS central science · 2026
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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

14 authors at 3 institutions in 2 countries.

Amanda GislerUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Kapil Dev SinghUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Jiafa ZengUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Martin OsswaldUniversity Hospital Zurich USZ, 8091 Zurich, Switzerland.
Mo AwchiUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Fabienne DecrueUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Felix SchmidtUniversity Hospital Zurich USZ, 8091 Zurich, Switzerland.
Noriane A SieviUniversity Hospital Zurich USZ, 8091 Zurich, Switzerland.
Xing ChenInstitute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
Jakob UsemannUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Urs FreyUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Malcolm KohlerUniversity Hospital Zurich USZ, 8091 Zurich, Switzerland.
Xue LiInstitute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
Pablo SinuesUniversity Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
University of Basel · CHUniversity Hospital of Zurich · CHJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exhaled breath contains valuable information at the molecular level and offers promising potential for precision medicine. However, few breath tests transition to routine clinical practice, partly because of the missing validation in multicenter trials. Therefore, we developed and applied an interoperability framework for standardized multicenter data acquisition and processing for breath analysis with secondary electrospray ionization-high resolution mass spectrometry. We aimed to determine the technical variability and metabolic coverage. Comparison of multicenter data revealed a technical variability of ∼20% and a core signature of the human exhaled metabolome consisting of ∼850 features, corresponding mainly to amino acid, xenobiotic, and carbohydrate metabolic pathways. In addition, we found high inter-subject variability for certain metabolic classes (e.g., amino acids and fatty acids), whereas other regions such as the TCA cycle were relatively stable across subjects. The interoperability framework and overview of metabolic coverage presented here will pave the way for future large-scale multicenter trials.

Indexed as

clinical findingfinding by sitehealth information managementHealth sciencesmedical information practitioner

Identifiers

PMID36479147
PMCPMC9720009
OpenAlexW4309339022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.