ReviewJournal of diabetes research2026
Breathomics in Diabetes Management: A Noninvasive Approach for Precision Health Monitoring.
Review in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Breathomics in Diabetes Management: A Noninvasive Approach for Precision Health Monitoring.Journal of diabetes research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rising prevalence of diabetes necessitates accurate, noninvasive methods for early detection and personalized management. Breathomics, the investigation of exhaled volatile organic compounds (VOCs), offers a promising approach for evaluating glycemic control, oxidative stress, and metabolic alterations associated with diabetes. Specific VOCs, such as acetone, isoprene, and ethanol, reflect glucose fluctuations, lipid oxidation, and insulin sensitivity, linking metabolic changes to real-time physiological states. Recent analytical advancements in gas chromatography-mass spectrometry, proton transfer reaction-mass spectrometry, and electronic nose technologies have enhanced the reliability and clinical applicability of breath-based assessments. The investigations focus on integrating VOC-based metabolic signatures with lifestyle and behavioral factors to establish a precision, noninvasive framework for diabetes management. This review also discusses key challenges that remain in standardizing breath analysis techniques, interpreting complex breath data, and implementing breath-based technology into personalized diabetes management. Breathomics provides a novel pathway for dynamic real-time assessment of metabolic health, bridging physiological biomarkers with lifestyle responses to enable individualized diabetes management.
Indexed as
Identifiers
What Socratic 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 Socratic graph.