Diabetes research and clinical practice
-
Diabetes Res. Clin. Pract. · Aug 2010
Validating ICD coding algorithms for diabetes mellitus from administrative data.
To assess validity of diabetes International Classification of Disease (ICD) 9 and 10 coding algorithms from administrative data using physicians' charts as the 'gold standard' across time periods and geographic regions. ⋯ Diabetes could be accurately identified in administrative data using the following case definition "2 physician claims within 2 years or 1 hospital discharge abstract record with diagnosis codes 250.xx or E10.x-E14.x".
-
Diabetes Res. Clin. Pract. · Jul 2010
Meta AnalysisEffect of transcutaneous electrical nerve stimulation on symptomatic diabetic peripheral neuropathy: a meta-analysis of randomized controlled trials.
To evaluate the effectiveness of transcutaneous electrical nerve stimulation (TENS) on diabetic peripheral neuropathy (DPN). ⋯ TENS therapy may be an effective and safe strategy in treatment of symptomatic DPN. Due to small sample and short-term treatment duration, large multi-centre RCTs are needed to further evaluate the long-term effect of TENS on DPN.
-
Diabetes Res. Clin. Pract. · May 2010
Conducting cost-effectiveness analyses of type 2 diabetes in low- and middle-income countries: can locally generated observational study data overcome methodological limitations?
In low- and middle-income countries, the high personal and economic burden of type 2 diabetes is further compounded by inadequate resources for diabetes care when compared with high-income countries. Health technology assessments (HTAs) aim to inform policy decision makers in their efforts to achieve more effective allocation of resources by providing evidence-based input on new technologies. Within the hierarchy of evidence, randomized controlled trials (RCTs) remain the 'gold standard' used to inform HTAs, but are limited by poor external validity (ie, generalizability to real-world populations). ⋯ However, it is increasingly recognized that observational studies can complement RCTs by supporting and extending efficacy findings from RCTs to real-world clinical practice, particularly across geographical populations. They can also provide locally relevant baseline and disease natural history data to populate health economic models. Thus, observational data are likely to be of considerable informative value to policy makers in developing countries reaching decisions on diabetes care within an environment of scarce resources.
-
Diabetes Res. Clin. Pract. · Mar 2010
Using anthropometric indices to predict cardio-metabolic risk factors in Australian indigenous populations.
To compare the predictive power of anthropometric indices (BMI, waist circumference (WC), waist-to-hip ratio (WHpR) and waist-to-height ratio (WHtR)) for diabetes, hypertension and dyslipidemia in Australian Aboriginal and Torres Strait Islander (TSI) adults. ⋯ BMI was not a good discriminator of cardio-metabolic risk factors in Australian Indigenous populations compared with other anthropometric indices. WHpR is more closely associated with the risk of cardio-metabolic in these high-risk populations.
-
Diabetes Res. Clin. Pract. · Mar 2010
Vital sign triage to rule out diabetic ketoacidosis and non-ketotic hyperosmolar syndrome in hyperglycemic patients.
To develop a prediction algorithm to rule out diabetic ketoacidosis (DKA) and non-ketotic hyperosmolar syndrome (NKHS) based on vital signs for early triage of patients with diabetes. ⋯ Our algorithm may help DKA/NKHS triage and patients with normal vital signs can be initially triaged as low risk for DKA/NKHS.