Evidence map›Paper›PMID 35458579›Full record

ArticleMolecules (Basel, Switzerland)2022

Modelling of Breath and Various Blood Volatilomic Profiles-Implications for Breath Volatile Analysis.

Paweł Mochalski, Julian King, Chris A Mayhew, Karl Unterkofler

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Paweł MochalskiInstitute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria.ORCID 0000-0002-6934-1562
Julian KingInstitute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria.ORCID 0000-0003-3648-9787
Chris A MayhewInstitute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria.ORCID 0000-0002-5014-7241
Karl UnterkoflerInstitute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria.ORCID 0000-0002-1078-9645
Universität Innsbruck · ATJan Kochanowski University · PL

Funding

European Union's Horizon~2020 research and innovation programme 824986
6 · The paper itself

Abstract

Researchers looking for biomarkers from different sources, such as breath, urine, or blood, frequently search for specific patterns of volatile organic compounds (VOCs), often using pattern recognition or machine learning techniques. However, they are not generally aware that these patterns change depending on the source they use. Therefore, we have created a simple model to demonstrate that the distribution patterns of VOCs in fat, mixed venous blood, alveolar air, and end-tidal breath are different. Our approach follows well-established models for the description of dynamic real-time breath concentration profiles. We start with a uniform distribution of end-tidal concentrations of selected VOCs and calculate the corresponding target concentrations. For this, we only need partition coefficients, mass balance, and the assumption of an equilibrium state, which avoids the need to know the volatiles' metabolic rates and production rates within the different compartments.

Indexed as

Body FluidsVolatile Organic CompoundsBiomarkersBreath TestsBiomarkersVolatile Organic Compoundsbloodbreathend-tidal airfatmodellingpartition coefficientsVOCsvolatilome

Identifiers

PMID35458579
PMCPMC9028376
OpenAlexW4224230702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.