ReviewMetabolites2015
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview.
Review in Metabolites, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03787160 (Determining the Effect of Probiotics on Microbiome and Volatile Organic Compounds in Patients After Surgical Repair of Congenital Diaphragmatic Hernia), which is not on this map. Cited by 74 papers, 1 of them a synthesis that pooled 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.
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.
Determining the Effect of Probiotics on Microbiome and Volatile Organic Compounds in Patients After Surgical Repair of Congenital Diaphragmatic Hernia
Who cites it
74 citing papers in PubMed, 1 synthesis or guideline pooled it, 293 citations in OpenAlex.
- Exhaled volatile organic compounds analysis in clinical pediatrics: a systematic review.Pediatric research · 2021Pooled it
- Comparing patterns of volatile organic compounds exhaled in breath after consumption of two infant formulae with a different lipid structure: a randomized trial.Scientific reports · 2019Trial
- Asbestos mineral fibre exposure significantly affects volatile organic compound profiles of mesothelial cell lines in vitro.Scientific reports · 2026Article
- Real-Time Breath Diagnostics: Linking Molecular Pathways, Measurement Technologies, and Clinical Translation.International journal of molecular sciences · 2026Review
- Breath by Breath: Navigating the Landscape of Exhaled Breath in Clinical Research and Prospects for the Future.Journal of analytical methods in chemistry · 2026Review
- The Development of Laboratory-made NTD Sensor Systems for the Analysis of Volatile Organic Compounds (VOCs) in Synthetic Breath Samples.Thoracic research and practice · 2025Article
- Non-Invasive Detection of Nasopharyngeal Carcinoma Using Volatile Organic Compounds.Metabolites · 2025Article
- Harnessing Surface-Enhanced Raman Spectroscopy for Breath-Based Diagnostics.Analytical chemistry · 2025Article
- Ligand spin immobilization in metal-organic frameworks enables high-performance chemispintronic detection of radical gas molecules.Science advances · 2025Article
- Metal-organic framework-based SERS probes with enrichment capability for trace detection: applications in biomarkers and pollutants.Mikrochimica acta · 2025Review
- Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis.Biomedicines · 2024Article
- An inexpensive UV-LED photoacoustic based real-time sensor-system detecting exhaled trace-acetone.Photoacoustics · 2024Article
- Article
- Breathomics Detect the Cardiovascular Disease: Delusion or Dilution of the Metabolomic Signature.Current cardiology reviews · 2024Review
- Exhaled volatile organic compounds for diagnosis and monitoring of asthma.World journal of clinical cases · 2023Review
- Data-driven design of a multiplexed, peptide-sensitized transistor to detect breath VOC markers of COVID-19.Biosensors & bioelectronics · 2023Article
- Differences in the Volatilomic Urinary Biosignature of Prostate Cancer Patients as a Feasibility Study for the Detection of Potential Biomarkers.Current oncology (Toronto, Ont.) · 2023Article
- Volatile Markers for Cancer in Exhaled Breath-Could They Be the Signature of the Gut Microbiota?Molecules (Basel, Switzerland) · 2023Article
- A sub-ppbv-level Acetone and Ethanol Quantum Cascade Laser Based Photoacoustic Sensor - Characterization and Multi-Component Spectra Recording in Synthetic Breath.Photoacoustics · 2023Article
- UHPLC-MS/MS-Based Identity Confirmation of Amino Acids Involved in Response to and Side Effects from Antiseizure Medications.Journal of proteome research · 2023Article
14 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
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases.
Identifiers
What OpenQuestion holds
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.