ArticleJournal of diabetes science and technology2009
A semilogarithmic scale for glucose provides a balanced view of hyperglycemia and hypoglycemia.
Article in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Profiles of Intraday Glucose in Type 2 Diabetes and Their Association with Complications: An Analysis of Continuous Glucose Monitoring Data.Diabetes technology & therapeutics · 2021Article
- Interpreting blood GLUcose data with R package iglu.PloS one · 2021Article
- Informative graphing of continuous safety variables relative to normal reference limits.BMC medical research methodology · 2018Article
- Modeling Inpatient Glucose Management Programs on Hospital Infection Control Programs: An Infrastructural Model of Excellence.Joint Commission journal on quality and patient safety · 2015Article
- Escaping the Hemoglobin A1c-Centric World in Evaluating Diabetes Mellitus Interventions.Journal of diabetes science and technology · 2015Article
- Statistical transformation and the interpretation of inpatient glucose control data from the intensive care unit.Journal of diabetes science and technology · 2014Article
- Multiplicative surrogate standard deviation: a group metric for the glycemic variability of individual hospitalized patients.Journal of diabetes science and technology · 2013Article
- Glycemic variability in hospitalized patients: choosing metrics while awaiting the evidence.Current diabetes reports · 2013Review
- Glucose Fluctuations during Gestation: An Additional Tool for Monitoring Pregnancy Complicated by Diabetes.International journal of endocrinology · 2013Article
- Functional characterization of peroxisome proliferator-activated receptor-β/δ expression in colon cancer.Molecular carcinogenesis · 2011Article
- Design of a decision support system to help clinicians manage glycemia in patients with type 2 diabetes mellitus.Journal of diabetes science and technology · 2011Article
- Display of glucose distributions by date, time of day, and day of week: new and improved methods.Journal of diabetes science and technology · 2009Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIt would be desirable to improve the ability of physicians and patients to identify hypoglycemic episodes when viewing displays of glucose by date, time of day, or day of the week. RESEARCH DESIGN AND
methodsA logarithmic scale is utilized for display of glucose versus date and time of day using a range of 40 to 400 mg/dl. Several plausible alternatives are considered for transformation of the glucose data.
resultUse of a semilogarithmic plot triples the percentage of the vertical axis allocated to hypoglycemia (e.g., 40-80 mg/dl) from 10% to 30.1% while compressing the hyperglycemic region. The log scale improves the symmetry of the glucose distribution. Transformations were evaluated corresponding to the Schlichtkrull M(100) value, the high blood glucose index/low blood glucose index of Kovatchev and associates, an index of glycemic control developed by the present author, and the GRADE score of Hill and coworkers. Results are similar for all four transformations. This approach is applicable both to self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM). Based on preliminary results, it is proposed that the log transform could potentially facilitate analysis of glucose patterns and may facilitate rapid and consistent detection and appreciation of the severity and consistency of hypoglycemic episodes, even in the presence of complex overlapping patterns commonly observed in both SMBG and CGM glucose profiles.
conclusionDisplay of glucose on a logarithmic scale can potentially improve the accuracy of analysis and interpretation of popular methods for graphic display of glucose values. Device manufacturers should consider including options for semilogarithmic display of glucose on SMBG meters, CGM sensors, and software for retrospective analyses of glucose data.
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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.