Evidence map›Paper›PMID 34616836›Full record

ArticleERJ open research2021

Exhaled volatile organic compounds and lung microbiome in COPD: a pilot randomised controlled trial.

Divya Mohan, Holly R Keir, Hollian Richardson, David Mayhew, Joseph Boyer, Marc P van der Schee, Max D Allsworth, Bruce E Miller, Ruth Tal-Singer, James D Chalmers

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2021. 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
0.7field-weighted citation impact, top 34% 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, 11 citations in OpenAlex.

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

10 authors at 3 institutions in 2 countries.

Divya MohanGSK R&D, Collegeville, PA, USA.ORCID https://orcid.org/0000-0001-9153-2683
Holly R KeirNinewells Clinical Research Centre, University of Dundee, Dundee, UK.
Hollian RichardsonNinewells Clinical Research Centre, University of Dundee, Dundee, UK.
David MayhewGSK R&D, Collegeville, PA, USA.
Joseph BoyerGSK R&D, Collegeville, PA, USA.
Marc P van der ScheeOwlstone Medical, Cambridge, UK.
Max D AllsworthOwlstone Medical, Cambridge, UK.
Bruce E MillerGSK R&D, Collegeville, PA, USA.ORCID https://orcid.org/0000-0003-3904-3182
Ruth Tal-SingerGSK R&D, Collegeville, PA, USA.ORCID https://orcid.org/0000-0002-5275-8062
James D ChalmersNinewells Clinical Research Centre, University of Dundee, Dundee, UK.
GlaxoSmithKline (United States) · USUniversity of Dundee · GBOwlstone Medical (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreath analysis is a burgeoning field, with interest in volatile organic compounds (VOCs) as a noninvasive diagnostic tool or an outcome measure, but no randomised controlled trials (RCTs) have yet evaluated this technology in a clinical trial longitudinally. In a pilot RCT, our exploratory objectives were feasibility of measuring VOCs

method43 participants had VOCs and sputum biomarkers evaluated. VOCs and induced sputum were collected after 6 h of fasting at screening and at days 1, 7 and 14. VOCs were analysed

resultsA joint-effects model demonstrated a modest relationship between four exhaled VOCs and

conclusionsVOC measurement in clinical trials to identify subsets of COPD is feasible, but assessment of new VOC technologies must include concurrent GC-MS validation. Further work to standardise collection of VOCs and measuring a background or "housekeeper" VOC is required to understand and normalise individual VOC quantities.

Identifiers

PMID34616836
PMCPMC8488227
OpenAlexW3198451455

What OpenQuestion holds

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Registered trials

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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.