The DOI matches its Crossref record.
Dynamic Electrochemistry: A Step in the Right Direction
Open accessAbstract
Variation in hematocrit is a serious but underappreciated interference to accurate point-of-care glucose measurement. Using a meter employing new technology of dynamic electrochemistry, Musholt and colleagues present in vitro data in this issue of Journal of Diabetes Science and Technology demonstrating improved glucose accuracy over a wide range of hematocrits. Although this may have some importance for patients testing in the home environment, the essential application of this new technology will be in the critical care and perioperative environment, where wide swings in hematocrit are common. Because these meters are in use with great frequency in the hospital where accurate glucose measurement is vital, mitigating this interference is a welcome addition to our diagnostic armamentarium.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Clinical value of blood glucose monitoring systems is associated with measurement accuracy.
“Nowadays, a broad variety of BGMS is available on the market and it is understood that clinical value is associated with measurement accuracy.”
From System accuracy evaluation of 18 CE-marked current-generation blood glucose monitoring systems based on EN ISO 15197:2015 (2020) · cites this paper as [10]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 13
- 10.1177/193229681100500520 · DOI
- 10.1177/193229681000400118 · DOI · Paper page
- 10.2337/diacare.10.5.622 · DOI · Paper page
- 10.1177/193229680900300606 · DOI
- 10.1007/s11325-009-0284-0 · DOI
- 10.1016/j.exphem.2007.10.003 · DOI
- 10.1016/S0272-6386(96)90163-8 · DOI
- Röcker L, 1980, Klin Wochenschr., 58, 769, 10.1007/BF01478285 · DOI
- 10.2337/dc06-1679 · DOI
- 10.1016/S0003-4975(96)01044-2 · DOI
- 10.1097/00006123-200002000-00015 · DOI
- 10.1177/000313480507100215 · DOI
- Wu P, Anesth Analg.
Cited by
Sorted by citations
Freckmann, G., Schmid, C., Baumstark, A., Pleus, S., Link, M., & Haug, C. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600510 · Cited by 237
The Accuracy of Point-of-Care Glucose Measurements
Rebel, A., Rice, M. A., & Fahy, B. G. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600228 · Cited by 144
Self-citationPleus, S., Baumstark, A., Jendrike, N., Mende, J., Link, M., Zschornack, E., Haug, C., & Freckmann, G. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001067 · Cited by 63
Point-of-Care Blood Testing: The Technology Behind the Numbers
Siegrist, K. K., & Rice, M. J. (2019) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004149 · Cited by 11
Self-citationDimitrov, D. V. (2013) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-94-007-5971-8_15 · Cited by 1
“Dynamic Electrochemistry is an innovative technology which extracts a spectrum of information from the blood that is inaccessible to traditional electrochemical methods [ 8 ].”
BackgroundInterfering Factors in Quality of Glucose Measurement
Hellman, R. (2014) · Frontiers in diabetes · doi:10.1159/000363475
Metadata
- Authors
- Rice, M. J.
- Affiliations
- University of Florida Health (US)
- Corresponding author
- Rice, Mark J.
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2011-09
- Volume
- 5
- Issue
- 5
- Pages
- 1176-1178
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC3208876
- OpenAlex
- W2103733870
- Cited by
- 7
- References
- 0
- Citations by year
- 2020: 1 · 2019: 1 · 2015: 1 · 2014: 1 · 2013: 1 · 2012: 2
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Keywords
- hematocrit interference, blood glucose meters, measurement accuracy
- MeSH terms
- Blood Glucose, Humans, Blood Glucose Self-Monitoring, Electrochemical Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review