Evidence map›Paper›PMID 25691653›Full record

ArticleJournal of diabetes science and technology2015

A Negative Correlation Between Blood Glucose and Acetone Measured in Healthy and Type 1 Diabetes Mellitus Patient Breath.

Artur Rydosz

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05541484 (Ketone Monitoring in T1D), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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.

NCT05541484 phase4completedstarted 2022, after this paper: background citation

Ketone Monitoring in T1D: Effect of SGLT2i During Usual Care and With Insulin Deficiency

Ran2022Enrolled21Registered outcomes3Posted comparisons1ConditionsDiabetes Mellitus, Type 1ArmsBiosense Breath Ketone Analyzer, SGLT2 inhibitor
Open the trial in the graph
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Nanowire Array Breath Acetone Sensor for Diabetes Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  3. Review
  4. Two-Dimensional TiBiosensors · 2022
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
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

1 author.

Artur RydoszDepartment of Electronics, AGH University of Science and Technology, Krakow, Poland artur.rydosz@agh.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExhaled acetone analysis has long been recognized as a supplementary tool for diagnosis and monitoring diabetes, especially type 1 diabetes. It is essential, therefore to determine the relationship between exhaled acetone concentration and glucose in blood. Usually, a direct linear correlation between this both compounds has been expected. However, in some cases we can observe a reverse correlation. When blood glucose was increasing, breath acetone declined.

methodsThe breath analysis as a supplementary tool for diagnosing and monitoring diabetes makes sense only in case of utilization of portable analyzers. This need has created a market for gas sensors. However, commercially available acetone gas sensors are developed for measuring samples at several tens part per million. The exhaled acetone concentration was measured using commercial acetone gas sensor (TGS 822, 823 Figaro, Arlington Heights, IL, USA Inc) with micropreconcentrator in low temperature cofired ceramics. The reference analyzer-mass spectrometry (HPR-20 QIC, Hiden Analytical, Warrington, UK) was used.

resultsTwenty-two healthy volunteers with no history of any respiratory disease participated in the research, as did 31 patients diagnosed with type 1 diabetes. Respectively, 3 healthy volunteer and 5 type 1 diabetes mellitus subjects with reverse trend were selected. The linear fitting coefficient various from 0.1139 to 0.9573. Therefore, it is necessary to determine the correlation between blood glucose concentrations and under different conditions, for example, insulin levels, as well as correlate the results with clinical tests, for example, Hb1Ac.

conclusionsIt is well known that the concentration of acetone is strongly influenced by diet, insulin treatment, and so on. Therefore, much more complex analysis with long-term measurements are required. Thus, presented results should be regarded as tentative, and validation studies with the analysis of clinical test and in a large number of patients, including control groups, need to be carried out.

Indexed as

Breath TestsExhalationAcetoneAdultBlood GlucoseDiabetes Mellitus, Type 1FemaleGlucose Tolerance TestHealthy VolunteersHumansMaleReproducibility of ResultsRespirationAcetoneBlood Glucoseacetone sensorbreath acetone detectionmicropreconcentratortype 1 diabetes mellitus patient

Identifiers

PMID25691653
PMCPMC4525665

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.