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1 results on '"Statistical hypothesis testing"'

1. Association Between Change in A1C and Use of Professional Continuous Glucose Monitoring in Adults With Type 2 Diabetes on Noninsulin Therapies: A Real-World Evidence Study.

Author

Nemlekar, Poorva M., Hannah, Katia L., and Norman, Gregory J.

Subjects
*GLYCOSYLATED hemoglobin, *BLOOD sugar monitoring, *GLYCEMIC control, *RETROSPECTIVE studies, *HYPOGLYCEMIC agents, *BLOOD sugar, *TYPE 2 diabetes, *TREATMENT effectiveness, *T-test (Statistics), *HEALTH behavior, *DESCRIPTIVE statistics, *CHI-squared test, *STATISTICAL hypothesis testing, *DATA analysis software, *ODDS ratio, *LONGITUDINAL method, *BEHAVIOR modification, *COMORBIDITY, *ADULTS
Abstract

This retrospective analysis examined the association between change in A1C and professional continuous glucose monitoring (p-CGM) use in patients with type 2 diabetes and poor glycemic control who were not using insulin. Data from 15,481 eligible patients (p-CGM users n = 707 and p-CGM nonusers n = 14,774) showed a greater decrease in A1C from baseline to the end of follow-up for p-CGM users, and differences favored p-CGM users regardless of whether they started insulin therapy during the follow-up period. These findings suggest that people with type 2 diabetes who have poor glycemic control using multiple noninsulin therapies may benefit from p-CGM, which can reduce A1C over a 6-month period compared with usual care. [ABSTRACT FROM AUTHOR]

Published
2023
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