Evidence map›Paper›PMID 25542036›Full record

ArticlePloS one2014

Exhaled breath analysis using electronic nose in cystic fibrosis and primary ciliary dyskinesia patients with chronic pulmonary infections.

Odin Joensen, Tamara Paff, Eric G Haarman, Ib M Skovgaard, Peter Ø Jensen, Thomas Bjarnsholt, Kim G Nielsen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Frontiers in immunology · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Motile ciliopathies.Nature reviews. Disease primers · 2020
    Review
  14. Article
  15. Sensors for detecting pulmonary diseases from exhaled breath.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  16. Review
  17. Review
  18. Article
  19. Review
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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

7 authors at 3 institutions in 2 countries.

Odin JoensenDepartment of International Health, Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Tamara PaffDepartment of Pulmonary Diseases, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
Eric G HaarmanDepartment of Pulmonary Diseases, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
Ib M SkovgaardDepartment of Mathematical Sciences at Copenhagen University, Copenhagen, Denmark.
Peter Ø JensenDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Thomas BjarnsholtDepartment of International Health, Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Kim G NielsenDanish Paediatric Pulmonary Service, Rigshospitalet, Copenhagen, Denmark.
Rigshospitalet · DKAmsterdam UMC Location VUmc · NLUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current diagnostic work-up and monitoring of pulmonary infections may be perceived as invasive, is time consuming and expensive. In this explorative study, we investigated whether or not a non-invasive exhaled breath analysis using an electronic nose would discriminate between cystic fibrosis (CF) and primary ciliary dyskinesia (PCD) with or without various well characterized chronic pulmonary infections. We recruited 64 patients with CF and 21 with PCD based on known chronic infection status. 21 healthy volunteers served as controls. An electronic nose was employed to analyze exhaled breath samples. Principal component reduction and discriminant analysis were used to construct internally cross-validated receiver operator characteristic (ROC) curves. Breath profiles of CF and PCD patients differed significantly from healthy controls p = 0.001 and p = 0.005, respectively. Profiles of CF patients having a chronic P. aeruginosa infection differed significantly from to non-chronically infected CF patients p = 0.044. We confirmed the previously established discriminative power of exhaled breath analysis in separation between healthy subjects and patients with CF or PCD. Furthermore, this method significantly discriminates CF patients suffering from a chronic pulmonary P. aeruginosa (PA) infection from CF patients without a chronic pulmonary infection. Further studies are needed for verification and to investigate the role of electronic nose technology in the very early diagnostic workup of pulmonary infections before the establishment of a chronic infection.

Indexed as

AdolescentAdultBreath TestsCase-Control StudiesChildCross-Sectional StudiesCystic FibrosisElectronic NoseExhalationFemaleHumansKartagener SyndromeMalePrincipal Component AnalysisPseudomonas InfectionsROC Curve

Identifiers

PMID25542036
PMCPMC4277311
OpenAlexW2051827296

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.