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Items: 10

1.

Impact of remote management of diabetes via computer: the 360 study--a proof-of-concept randomized trial.

Leichter SB, Bowman K, Adkins RA, Jelsovsky Z.

Diabetes Technol Ther. 2013 May;15(5):434-8. doi: 10.1089/dia.2012.0323. Epub 2013 Mar 28.

PMID:
23537419
2.

Changes in A1C levels are significantly associated with changes in levels of the cardiovascular risk biomarker hs-CRP: results from the SteP study.

Schnell O, Amann-Zalan I, Jelsovsky Z, Moritz A, Bermejo JL, Parkin CG, Schweitzer MA, Fisher L, Polonsky WH.

Diabetes Care. 2013 Jul;36(7):2084-9. doi: 10.2337/dc12-1711. Epub 2013 Feb 22.

3.

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.

Diabetes Care. 2012 Apr;35(4):693-8. doi: 10.2337/dc11-1351. Epub 2012 Feb 16.

4.

The impact of structured blood glucose testing on attitudes toward self-management among poorly controlled, insulin-naïve patients with type 2 diabetes.

Fisher L, Polonsky WH, Parkin CG, Jelsovsky Z, Petersen B, Wagner RS.

Diabetes Res Clin Pract. 2012 May;96(2):149-55. doi: 10.1016/j.diabres.2011.12.016. Epub 2012 Jan 20.

PMID:
22265215
5.

The impact of blood glucose monitoring on depression and distress in insulin-naïve patients with type 2 diabetes.

Fisher L, Polonsky W, Parkin CG, Jelsovsky Z, Amstutz L, Wagner RS.

Curr Med Res Opin. 2011 Nov;27 Suppl 3:39-46. doi: 10.1185/03007995.2011.619176. Epub 2011 Sep 14.

PMID:
21916532
6.

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.

Diabetes Technol Ther. 2011 Aug;13(8):797-802. doi: 10.1089/dia.2011.0073. Epub 2011 May 13.

PMID:
21568751
7.

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.

Diabetes Care. 2011 Feb;34(2):262-7. doi: 10.2337/dc10-1732.

8.

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.

BMC Fam Pract. 2010 May 18;11:37. doi: 10.1186/1471-2296-11-37.

9.

Genes that contribute to cancer fusion genes are large and evolutionarily conserved.

Narsing S, Jelsovsky Z, Mbah A, Blanck G.

Cancer Genet Cytogenet. 2009 Jun;191(2):78-84. doi: 10.1016/j.cancergencyto.2009.02.004.

PMID:
19446742
10.

Primary care physicians identify and act upon glycemic abnormalities found in structured, episodic blood glucose monitoring data from non-insulin-treated type 2 diabetes.

Polonsky WH, Jelsovsky Z, Panzera S, Parkin CG, Wagner RS.

Diabetes Technol Ther. 2009 May;11(5):283-91. doi: 10.1089/dia.2008.0087.

PMID:
19425876

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