Evidence map›Paper›PMID 23259710›Full record

SynthesisRespiratory research2012

Clinical use of exhaled volatile organic compounds in pulmonary diseases: a systematic review.

Kim D G van de Kant, Linda J T M van der Sande, Quirijn Jöbsis, Onno C P van Schayck, Edward Dompeling

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Respiratory research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06528418 (Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath), which is not on this map. Cited by 95 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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.

NCT06528418 recruitingnot on this mapstarted 2024, after this paper: background citation

Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath

TypeobservationalSponsorChromX HealthRan2024 to 2027Enrolled10,000ConditionsLung Cancer, Lung Infection, COPD, BronchitisArmsGas chromatography-mass spectrometry(GC-MS) and micro Gas Chromatography-photoionisation detector (μGC-PID) system
3 · Its place in the literature

Who cites it

95 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing.IEEE reviews in biomedical engineering · 2025
    Review
  18. Review
  19. Observational
  20. Article

35 more citing papers are in PubMed but not listed here.

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.

Kim D G van de KantDepartment of Pediatric Pulmonology, School for Public Health and Primary Care (CAPHRI), Maastricht University Medical Center (MUMC), P,O, Box 5800, 6202, AZ, Maastricht, the Netherlands. kim.vande.kant@mumc.nl
Linda J T M van der Sande
Quirijn Jöbsis
Onno C P van Schayck
Edward Dompeling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing interest in the potential of exhaled biomarkers, such as volatile organic compounds (VOCs), to improve accurate diagnoses and management decisions in pulmonary diseases. The objective of this manuscript is to systematically review the current knowledge on exhaled VOCs with respect to their potential clinical use in asthma, lung cancer, chronic obstructive pulmonary disease (COPD), cystic fibrosis (CF), and respiratory tract infections. A systematic literature search was performed in PubMed, EMBASE, Cochrane database, and reference lists of retrieved studies. Controlled, clinical, English-language studies exploring the diagnostic and monitoring value of VOCs in asthma, COPD, CF, lung cancer and respiratory tract infections were included. Data on study design, setting, participant characteristics, VOCs techniques, and outcome measures were extracted. Seventy-three studies were included, counting in total 3,952 patients and 2,973 healthy controls. The collection and analysis of exhaled VOCs is non-invasive and could be easily applied in the broad range of patients, including subjects with severe disease and children. Various research groups demonstrated that VOCs profiles could accurately distinguish patients with a pulmonary disease from healthy controls. Pulmonary diseases seem to be characterized by a disease specific breath-print, as distinct profiles were found in patients with dissimilar diseases. The heterogeneity of studies challenged the inter-laboratory comparability. In conclusion, profiles of VOCs are potentially able to accurately diagnose various pulmonary diseases. Despite these promising findings, multiple challenges such as further standardization and validation of the diverse techniques need to be mastered before VOCs can be applied into clinical practice.

Indexed as

ExhalationBiomarkersBreath TestsHumansLung DiseasesPrevalenceReproducibility of ResultsSensitivity and SpecificityVolatile Organic CompoundsBiomarkersVolatile Organic Compounds

Identifiers

PMID23259710
PMCPMC3549749

What OpenQuestion holds

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Registered trials

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.