This review provides insight into the methodological issues specifically related to the development and validation of prediction models for diabetes complications (Diabetologia)
Diabetes News
Tag: complications
The many faces of diabetes. Is there a need for re-classification? A narrative review
This review aims to examine the physiological mechanisms in diabetes, risks for complications, the effects of bariatric and metabolic surgery and will shed light on whether diabetes should be reclassified (BMC Endocrine Disorders)
Resurgence in Diabetes-Related Complications
In an unanticipated new challenge to improvements, a resurgence of diabetes complications has appeared in national statistics and in the epidemiology literature (JAMA)
Expectations and fear of diabetes-related long-term complications in people with type 2 diabetes at primary care level
Prevalence of diabetes-related long-term complications was overestimated in people with diabetes type 2. Approximately one third of the participants showed even great fear. Patient expectation and fear about diabetes-associated complications did not correspondent with data on clinical reality (Acta Diabetologica)
National Diabetes Audit, 2015-16 Report 2: Complications and Mortality
This report from the National Diabetes Audit (NDA) covers complications of diabetes. It does not include diabetic eye disease or hypoglycaemia because presently there are no reliable records of these that the NDA can access. Most other cardiovascular and diabetes specific complications are included Download (HQIP)
The changing face of diabetes complications
The combination of decreasing mortality and increasing diabetes prevalence has increased the overall mean years lived with diabetes and could lead to a diversification of diabetes morbidity, including continued high rates of renal disease, ageing-related disability, and cancers (The Lancet Diabetes & Endocrinology)
Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data
Data-mining analyses of the DCCT/EDIC data allow the identification of accurate predictive models for diabetes-related complications. We also present initial evidences that these models can be applied on a more recent, European population (Journal of Diabetes and Its Complications)
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