SynthesisBMC anesthesiology2014
Glucose prediction by analysis of exhaled metabolites - a systematic review.
Synthesis in BMC anesthesiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 38 citations in OpenAlex.
- First-principles study of diabetes-associated VOCs detection from breath using nitride nanotubes.RSC advances · 2026Article
- Room-temperature isopropanol detection using plasmonic optical fiber gas sensor with platinum-doped zinc oxide nanoparticles.iScience · 2026Article
- Breathomics in Diabetes Management: A Noninvasive Approach for Precision Health Monitoring.Journal of diabetes research · 2026Review
- Recent Advances in Biosensor Technologies for Meat Production Chain.Foods (Basel, Switzerland) · 2025Review
- Artificial Neural Processing-Driven Bioelectronic Nose for the Diagnosis of Diabetes and Its Complications.Advanced healthcare materials · 2023Article
- Low-Cost ZnO Spray-Coated Optical Fiber Sensor for Detecting VOC Biomarkers of Diabetes.Sensors (Basel, Switzerland) · 2023Article
- Innovations in Cattle Farming: Application of Innovative Technologies and Sensors in the Diagnosis of Diseases.Animals : an open access journal from MDPI · 2023Review
- Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities.Biosensors · 2021Review
- Quantification of Volatile Acetone Oligomers Using Ion-Mobility Spectrometry.Journal of analytical methods in chemistry · 2021Article
- The Effects of Prebiotic Supplementation with OMNi-LOGiCNutrients · 2020Article
- Volatile organic compound profiles in outlet air from extracorporeal life-support devices differ from breath profiles in critically ill patients.ERJ open research · 2019Article
- Diagnosis of acute respiratory distress syndrome by exhaled breath analysis.Annals of translational medicine · 2018Review
- Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus.Journal of medical and biological engineering · 2016Review
- Hypo- and Hyperglycemic Alarms: Devices and Algorithms.Journal of diabetes science and technology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn critically ill patients, glucose control with insulin mandates time- and blood-consuming glucose monitoring. Blood glucose level fluctuations are accompanied by metabolomic changes that alter the composition of volatile organic compounds (VOC), which are detectable in exhaled breath. This review systematically summarizes the available data on the ability of changes in VOC composition to predict blood glucose levels and changes in blood glucose levels.
methodsA systematic search was performed in PubMed. Studies were included when an association between blood glucose levels and VOCs in exhaled air was investigated, using a technique that allows for separation, quantification and identification of individual VOCs. Only studies on humans were included.
resultsNine studies were included out of 1041 identified in the search. Authors of seven studies observed a significant correlation between blood glucose levels and selected VOCs in exhaled air. Authors of two studies did not observe a strong correlation. Blood glucose levels were associated with the following VOCs: ketone bodies (e.g., acetone), VOCs produced by gut flora (e.g., ethanol, methanol, and propane), exogenous compounds (e.g., ethyl benzene, o-xylene, and m/p-xylene) and markers of oxidative stress (e.g., methyl nitrate, 2-pentyl nitrate, and CO).
conclusionThere is a relation between blood glucose levels and VOC composition in exhaled air. These results warrant clinical validation of exhaled breath analysis to monitor blood glucose levels.
Indexed as
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.