Utilizing continuous glucose monitoring in primary care practice: What the numbers mean
Primary Care Diabetes, ISSN: 1751-9918, Vol: 15, Issue: 2, Page: 199-207
2021
- 20Citations
- 33Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations20
- Citation Indexes19
- 19
- CrossRef1
- Policy Citations1
- Policy Citation1
- Captures33
- Readers33
- 33
Review Description
Use of continuous glucose monitoring (CGM) has been shown to improve glycemia control, reduce hypoglycemia, lower glycemic variability and enhance quality of life for individuals with type 1 diabetes and type 2 diabetes. However, many primary care physicians may be unfamiliar with the how CGM data can interpreted and acted upon. As adoption of this technology continues to grow, primary care physicians will be challenged to integrate CGM into their clinical practices. This article is intended to provide clinicians with practical guidance in interpreting and utilizing CGM data with their patients.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1751991820303119; http://dx.doi.org/10.1016/j.pcd.2020.10.013; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85097063390&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33257275; https://linkinghub.elsevier.com/retrieve/pii/S1751991820303119; https://dx.doi.org/10.1016/j.pcd.2020.10.013
Elsevier BV
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