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People with type 2 diabetes who aren't dependent on insulin may still benefit from regular at-home use of blood glucose monitoring, according to a recently reported meta-analysis.
When part of a multi-component diabetes management regimen, self-monitoring of blood glucose (SMBG) results in almost twice the reduction in glycated hemoglobin (A1C) compared with levels for patients on a regimen that doesn't include SMBG, according to Nemencio A. Nicodemus, Jr., MD, and colleagues at the University of the Philippines and Manila-based Applied Research Consultancy, Inc.
"We found an additional 45% reduction in A1C from self-monitoring," says Nicodemus, who presented the group's findings at the American Academy of Family Physicians (AAFP) Scientific Assembly held in Orlando, Fla.
Although SMBG is usually practiced by patients with diabetes who require insulin, some, including the American Diabetes Association, suggest that self-monitoring ought to be a useful guide for those who manage their disease with diet, exercise, and oral hypoglycemic agents.
A smattering of studies suggest that SMBG is associated with better glycemic control, but "one prior meta-analysis showed no benefit," explains Nicodemus. "We were puzzled by that."1
The group conducted a meta-analysis of its own, searching databases and the literature to find eight randomized, controlled clinical trials on adult patients with noninsulin-treated type 2 diabetes that compared A1C reduction with and without SMBG.
The eight trials comprised a total of 1,307 patients. Although the self-monitoring strategies ranged in frequency from 3 to 12 times per week, the authors say that heterogeneity among the studies was not statistically significant.
SMBG by itself does not improve glycemic control, but works best as part of multi-component diabetes management, says epidemiologist and statistician Jesus N. Sarol, Jr., lead investigator of the meta-analysis.
Sarol says that it's too soon to recommend SMBG to patients not using
insulin. "Personally, I would like to see more studies specifically on
cost-benefit and optimal strategies for self-monitoring," he says.
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