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Year Number of Results
2009 2
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2011 3
2012 2
2013 2
2021 0
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Page 1
Use of an automated decision support tool optimizes clinicians' ability to interpret and appropriately respond to structured self-monitoring of blood glucose data.
Rodbard HW, Schnell O, Unger J, Rees C, Amstutz L, Parkin CG, Jelsovsky Z, Wegmann N, Axel-Schweitzer M, Wagner RS. Rodbard HW, et al. Among authors: jelsovsky z. Diabetes Care. 2012 Apr;35(4):693-8. doi: 10.2337/dc11-1351. Epub 2012 Feb 16. Diabetes Care. 2012. PMID: 22344611 Free PMC article. Clinical Trial.
A structured self-monitoring of blood glucose approach in type 2 diabetes encourages more frequent, intensive, and effective physician interventions: results from the STeP study.
Polonsky WH, Fisher L, Schikman CH, Hinnen DA, Parkin CG, Jelsovsky Z, Axel-Schweitzer M, Petersen B, Wagner RS. Polonsky WH, et al. Among authors: jelsovsky z. Diabetes Technol Ther. 2011 Aug;13(8):797-802. doi: 10.1089/dia.2011.0073. Epub 2011 May 13. Diabetes Technol Ther. 2011. PMID: 21568751 Clinical Trial.
Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: results from the Structured Testing Program study.
Polonsky WH, Fisher L, Schikman CH, Hinnen DA, Parkin CG, Jelsovsky Z, Petersen B, Schweitzer M, Wagner RS. Polonsky WH, et al. Among authors: jelsovsky z. Diabetes Care. 2011 Feb;34(2):262-7. doi: 10.2337/dc10-1732. Diabetes Care. 2011. PMID: 21270183 Free PMC article. Clinical Trial.
The value of episodic, intensive blood glucose monitoring in non-insulin treated persons with Type 2 Diabetes: design of the Structured Testing Program (STeP) study, a cluster-randomised, clinical trial [NCT00674986].
Polonsky W, Fisher L, Schikman C, Hinnen D, Parkin C, Jelsovsky Z, Amstutz L, Schweitzer M, Wagner R. Polonsky W, et al. Among authors: jelsovsky z. BMC Fam Pract. 2010 May 18;11:37. doi: 10.1186/1471-2296-11-37. BMC Fam Pract. 2010. PMID: 20482765 Free PMC article. Clinical Trial.