SynthesisRespiratory research2012
Clinical use of exhaled volatile organic compounds in pulmonary diseases: a systematic review.
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.
What it found
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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.
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.
Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath
Who cites it
95 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Exhaled Volatile Organic Compounds Detection in Pneumonia Screening: A Comprehensive Meta-analysis.Lung · 2024Pooled it
- Pooled it
- Diagnostic Performance of Electronic Noses in Cancer Diagnoses Using Exhaled Breath: A Systematic Review and Meta-analysis.JAMA network open · 2022Pooled it
- Exhaled volatile organic compounds analysis in clinical pediatrics: a systematic review.Pediatric research · 2021Pooled it
- Breath biomarkers in idiopathic pulmonary fibrosis: a systematic review.Respiratory research · 2019Pooled it
- Breath based volatile organic compounds in the detection of breast, lung, and colorectal cancers: A systematic review.Cancer biomarkers : section A of Disease markers · 2017Pooled it
- Exhaled breath condensate profiles of U.S. Navy divers following prolonged hyperbaric oxygen (HBO) and nitrogen-oxygen (Nitrox) chamber exposures.Journal of breath research · 2023Trial
- Trial
- Article
- Electronic nose technology in bronchial asthma diagnosis and management.Multidisciplinary respiratory medicine · 2026Article
- Harnessing breath biomarkers for pneumonia diagnosis and prognosis.Expert review of respiratory medicine · 2026Review
- An AI-enhanced evidence-mapping framework for exhaled breathomics in cancer diagnostics: integrating multiple large language models (2005-early 2025).Discover oncology · 2026Article
- A baseline study of interpretable machine learning using GC-MS breath VOCs for classifying asthma, bronchiectasis, and COPD.Scientific reports · 2025Article
- Breath-based lung cancer detection using an ML-driven low-cost sensor array.Scientific reports · 2025Article
- Integrated Exhaled VOC and Clinical Biomarker Profiling for Predicting Bronchodilator Responsiveness in Asthma and COPD Patients.Diagnostics (Basel, Switzerland) · 2025Article
- Uncovering Non-Invasive Biomarkers in Paediatric Severe Acute Asthma Using Targeted Exhaled Breath Analysis.Metabolites · 2025Article
- Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing.IEEE reviews in biomedical engineering · 2025Review
- Research hotspots and frontiers of application of mass spectrometry breath test in respiratory diseases.Frontiers in medicine · 2025Review
- Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study.Cancer medicine · 2025Observational
- Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis.Biomedicines · 2024Article
35 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.