Literature DB >> 21525497

Comment on: Polonsky et al. 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. Diabetes Care 2011;34:262-267.

Jeffrey W Stephens, Julie E Carman, Caroline J Brooks, Ronan A Lyons, David V Ford, David E Price, Stephen C Bain.   

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Year:  2011        PMID: 21525497      PMCID: PMC3114498          DOI: 10.2337/dc11-0258

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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We read with interest the article by Polonsky et al. (1) reporting that self-monitoring of blood glucose (SMBG) improves glycemic control in noninsulin-treated type 2 diabetes. In the U.K., SMBG is recommended for insulin-treated diabetes (2), and controversy exists in relation to treatment with lifestyle advice or oral hypoglycemic agents (OHAs). A Cochrane review concluded that there is insufficient evidence to support the use of SMBG in noninsulin-treated type 2 diabetes (3). Furthermore, a health technology assessment review suggests that SMBG has limited clinical effectiveness in improving glycemic control in noninsulin-treated type 2 diabetes (4). In view of the widespread use of SMBG, cost implications, and the fact that U.K. management algorithms are based on HbA1c targets (2), clarity is required on the role of SMBG. We used the SAIL (Secure Anonymised Information Linkage) databank (5) to examine glucose strip prescribing in relation to HbA1c in groups treated with diet, OHAs, and insulin. SAIL contains patient data from 35 primary care systems for the Swansea area (n = 250,086). We examined the diabetes population aged 18–70 years with an HbA1c performed between January 2006 and January 2008 (n = 6,223) who were prescribed testing strips within the previous 6 months (n = 1,674 with 4,608 prescriptions). The number of glucose strips issued per patient in the past 6 months were grouped by diabetes therapy (insulin, OHAs, diet) and HbA1c (<6%, 6.0–7.9%, 8.0–9.9%, ≥10.0%). Median and interquartile ranges are described. We observed that strip prescribing for the diet and OHAs groups was similar, and as expected, insulin was associated with greater prescribing. Of the 1,674 patients, 25% (414) were treated with insulin, 58% (970) with oral agents, and 17% (286) with diet alone. For the insulin group, there was a reverse association between the HbA1c group (<6%, 6.0–7.9%, 8.0–9.9%, ≥10.0%) and strip use (300 [50-350], 250 [100-400], 200 [100-400], 100 [51-204]), P = 0.01. In the OHAs group, the respective values were 50 (50–150), 100 (50–100), 100 (50–200), 100 (50–177), P < 0.01. No clear pattern was seen in the diet group. In those treated with insulin, better HbA1c was associated with greater strip prescribing. Conversely, for those treated with OHAs, greater strip prescribing was associated with a worse HbA1c. There are limitations in our study that need to be highlighted. Firstly, this is an observational study; however, it is reflective of current local practice. Secondly, we examined strip prescribing over a 6-month period, and this does not equate to actual SMBG. Nevertheless, our study in routine clinical care is in line with previous prospective studies and clinical trials (3,4) and different to that described by Polonsky et al. (1).
  4 in total

Review 1.  Self-monitoring of blood glucose in patients with type 2 diabetes mellitus who are not using insulin.

Authors:  L M C Welschen; E Bloemendal; G Nijpels; J M Dekker; R J Heine; W A B Stalman; L M Bouter
Journal:  Cochrane Database Syst Rev       Date:  2005-04-18

Review 2.  Self-monitoring of blood glucose in type 2 diabetes: systematic review.

Authors:  C Clar; K Barnard; E Cummins; P Royle; N Waugh
Journal:  Health Technol Assess       Date:  2010-03       Impact factor: 4.014

3.  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.

Authors:  William H Polonsky; Lawrence Fisher; Charles H Schikman; Deborah A Hinnen; Christopher G Parkin; Zhihong Jelsovsky; Bettina Petersen; Matthias Schweitzer; Robin S Wagner
Journal:  Diabetes Care       Date:  2011-02       Impact factor: 19.112

4.  The SAIL Databank: building a national architecture for e-health research and evaluation.

Authors:  David V Ford; Kerina H Jones; Jean-Philippe Verplancke; Ronan A Lyons; Gareth John; Ginevra Brown; Caroline J Brooks; Simon Thompson; Owen Bodger; Tony Couch; Ken Leake
Journal:  BMC Health Serv Res       Date:  2009-09-04       Impact factor: 2.655

  4 in total
  4 in total

1.  Deficiency in prohormone convertase PC1 impairs prohormone processing in Prader-Willi syndrome.

Authors:  Lisa C Burnett; Charles A LeDuc; Carlos R Sulsona; Daniel Paull; Richard Rausch; Sanaa Eddiry; Jayne F Martin Carli; Michael V Morabito; Alicja A Skowronski; Gabriela Hubner; Matthew Zimmer; Liheng Wang; Robert Day; Brynn Levy; Ilene Fennoy; Beatrice Dubern; Christine Poitou; Karine Clement; Merlin G Butler; Michael Rosenbaum; Jean Pierre Salles; Maithe Tauber; Daniel J Driscoll; Dieter Egli; Rudolph L Leibel
Journal:  J Clin Invest       Date:  2016-12-12       Impact factor: 14.808

Review 2.  Self-monitoring of blood glucose in type 2 diabetes: recent studies.

Authors:  Oliver Schnell; Hasan Alawi; Tadej Battelino; Antonio Ceriello; Peter Diem; Anne-Marie Felton; Wladyslaw Grzeszczak; Kari Harno; Peter Kempler; Ilhan Satman; Bruno Vergès
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

Review 3.  Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines.

Authors:  Taridzo Chomutare; Luis Fernandez-Luque; Eirik Arsand; Gunnar Hartvigsen
Journal:  J Med Internet Res       Date:  2011-09-22       Impact factor: 5.428

4.  Blood Glucose Monitoring and Its Determinants in Diabetic Patients: A Cross-Sectional Study in Shandong, China.

Authors:  Abdul Marouf Raoufi; Xue Tang; Zhengyue Jing; Xinyi Zhang; Qiongqiong Xu; Chengchao Zhou
Journal:  Diabetes Ther       Date:  2018-09-11       Impact factor: 2.945

  4 in total

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