Comparable efficacy of self-monitoring of quantitative urine glucose with self-monitoring of blood glucose on glycaemic control in non-insulin-treated type 2 diabetes

Lü, Jing; Bu, Ruifang; Sun, Zilin; Lu, Qing-Bo; Jin, Hui; Wang, Y.; Wang, S.H.; Li, L.; Xie, Zuolin; Yang, Bingquan

doi:10.1016/j.diabres.2011.04.012

Cited by 49 publications

(33 citation statements)

References 20 publications

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“…The strength of the evidence for short-term mortality was graded as moderate, given that results were precise, direct, and had low risk of bias (Table 2). Table 7), 4,21,49,61,62,69,[72][73][74][75][76][77][78][79][80][81][82][83] showing no clear differences between groups in hypoglycemia. The strength of evidence was graded as low, given the inconsistency and imprecision of the results (Table 2).…”

Section: Safetymentioning

confidence: 99%

“…Most studies reported hypoglycemia as total hypoglycemic events [75][76][77] (N=5) or p a r t i c i p a n t s e x p e r i e n c i n g h y p o g l y c e m i a ( N = 8). 61,62,69,73,74,78,80,82 Hypoglycemic outcomes were defined heterogeneously, with some studies based on self report 4,21,62,72,73,77,82 and others on glucose readings. 74,76,78 Twelve of the 18 studies reported measures of variability.…”

Section: Safetymentioning

confidence: 99%

“…74,76,78 Twelve of the 18 studies reported measures of variability. 4,49,61,62,69,72,73,74,76,78,80,82 Most (66 %) of these studies showed no statistically significant differences between groups (N=8) 49,61,69,73,74,78,80,82 ; however, studies had limited power due to small numbers of events. Three of the remaining four studies showed significantly less hypoglycemia in the intervention groups, 4,72,76 while one study showed significantly less hypoglycemia in the usual care group.…”

Section: Safetymentioning

confidence: 99%

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Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

et al. 2014

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BACKGROUND: Patient activation interventions (PAIs) engage patients in care by promoting increased knowledge, confidence, and/or skills for disease self-management. However, little is known about the impact of these interventions on a wide range of outcomes for adults with type 2 diabetes (DM2), or which of these interventions, if any, have the greatest impact on glycemic control. METHODS: Electronic databases were searched from inception through November 2011. Of 16,290 citations, two independent reviewers identified 138 randomized trials comparing PAIs to usual care/control groups in adults with DM2 that reported intermediate or longterm outcomes or harms. For meta-analyses of continuous outcomes, we used a random-effects model to derive pooled weighted mean differences (WMD). For allcause mortality, we calculated the pooled odds ratio (OR) using Peto's method. We assessed statistical heterogeneity using the I 2 statistic and conducted meta-regression using a random-effects model when I 2 >50 %. A priori meta-regression primary variables included: intervention strategies, intervention leader, baseline outcome value, quality, and study duration. RESULTS: PAIs modestly reduced intermediate outcomes [A1c: WMD 0.37 %, CI 0.28-0.45 %, I 2 83 %; SBP: WMD 2.2 mmHg, CI 1.0-3.5 mmHg, I 2 72 %; body weight: WMD 2.3 lbs, CI 1.3-3.2 lbs, I 2 64 %; and LDLc: WMD 4.2 mg/dL, CI 1.5-6.9 mg/dL, I 2 64 %]. The evidence was moderate for A1c, low/very low for other intermediate outcomes, low for long-term mortality and very low for complications. Interventions had no effect on hypoglycemia (evidence: low) or short-term mortality (evidence: moderate). Higher baseline A1c, pharmacistled interventions, and longer follow-up were associated with larger A1c improvements. No intervention strategy outperformed any other in adjusted meta-regression. CONCLUSIONS: PAIs modestly improve A1c in adults with DM2 without increasing short-term mortality. These results support integration of these interventions into primary care for adults with uncontrolled glycemia, and provide evidence to insurers who do not yet cover these programs. INTRODUCTIONType 2 diabetes is common and contributes to excess morbidity, mortality, and health care costs, accounting for approximately one in five U.S. health care dollars. 1,2 Behavioral interventions are one important way to improve patient outcomes, 3 yet less is known about a subset of novel behavioral interventions focused on engaging patients in care 4-6 (often termed "patient activation" 7,8 ). Hibbard et al. 7,9 have described patient activation interventions as those that promote motivation, knowledge, and disease self-management skills. 7,9 Despite the growing evidence suggesting improved patient outcomes by engaging patients, 4-6,10 these interventions are often not integrated into practice due to uncertainty about benefit, lack of resources needed for integration, lack of health insurance coverage across insurers, and lack of clarity on the best strategies to incorporate. 11,12 Understanding the imp...

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Section: Safetymentioning

confidence: 99%

Section: Safetymentioning

confidence: 99%

Section: Safetymentioning

confidence: 99%

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Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

et al. 2014

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“…Glucose, one of the essential metabolic intermediates, is an important medical analyte which is the indicator of various diseases, such as glucose metabolism disorders and islet cell carcinoma [1,2,3,4]. Normally, the concentration of glucose in human blood stream is in the range of 3.8–6.9 mM.…”

Section: Introductionmentioning

confidence: 99%

A Review on Microfluidic Paper-Based Analytical Devices for Glucose Detection

Liu

2016

Sensors

107

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Glucose, as an essential substance directly involved in metabolic processes, is closely related to the occurrence of various diseases such as glucose metabolism disorders and islet cell carcinoma. Therefore, it is crucial to develop sensitive, accurate, rapid, and cost effective methods for frequent and convenient detections of glucose. Microfluidic Paper-based Analytical Devices (μPADs) not only satisfying the above requirements but also occupying the advantages of portability and minimal sample consumption, have exhibited great potential in the field of glucose detection. This article reviews and summarizes the most recent improvements in glucose detection in two aspects of colorimetric and electrochemical μPADs. The progressive techniques for fabricating channels on μPADs are also emphasized in this article. With the growth of diabetes and other glucose indication diseases in the underdeveloped and developing countries, low-cost and reliably commercial μPADs for glucose detection will be in unprecedentedly demand.

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“…For example, the use of urine glucose monitoring has been linked to greater persistence as a strategy compared to SMBG, though quality of life was rated no differently than in the SMBG group (Lu et al, 2011). Alternative strategies should be considered in those with difficulty engaging in SMBG.…”

Section: Controllabilitymentioning

confidence: 99%

Self-regulation theory and self-monitoring of blood glucose behavior in type 2 diabetes mellitus.

Ward

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Comparable efficacy of self-monitoring of quantitative urine glucose with self-monitoring of blood glucose on glycaemic control in non-insulin-treated type 2 diabetes

Cited by 49 publications

References 20 publications

Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

Effectiveness and Safety of Patient Activation Interventions for Adults with Type 2 Diabetes: Systematic Review, Meta-Analysis, and Meta-regression

A Review on Microfluidic Paper-Based Analytical Devices for Glucose Detection

Self-regulation theory and self-monitoring of blood glucose behavior in type 2 diabetes mellitus.

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