A comprehensive analysis of diabetic patient data before and during the COVID-19 pandemic - Lessons from the MÉRY diabetes database (MDD).

Aims: Our study examined changes in average blood glucose levels (ABG), measurement frequency (MF), and data uploading (DU) before and during the COVID-19 pandemic in 882-day spans, which were divided into further 20-week intervals to highlight the pandemic's impact.

Methods: T-Tests assessed the statistical significance of blood glucose data from 26,655/20,936 patients and 19.5/16.

How to evaluate over 60 million blood glucose data - The design of the MÉRY Diabetes Database.

Aims: The aim of the article is to describe the method for creating a close to ideal diabetes database. The MÉRY Diabetes Database (MDD) consists of a large quantity of reliable, well-maintained, precise and up-to-date data suited for clinical research with the intention to improve diabetes care in terms of maintaining targeted blood glucose levels, avoiding hypoglycemic episodes and complications and improving patient compliance and quality of life.

Methods: Based on the analysis of the databases found in the literature and the experience of our research team, nine important characteristics were identified as critical to an ideal diabetes database.

Morbidity and mortality of patients with diabetic neuropathy treated with pathogenetically oriented alpha-lipoic acid versus symptomatic pharmacotherapies - A nationwide database analysis from Hungary.

Aims: Diabetic neuropathy is associated with increased risk of morbidity and all-cause mortality. It is unclear whether these outcomes differ in patients with diabetic neuropathy treated with pathogenetically oriented vs symptomatic pharmacotherapies.

Methods: We performed a retrospective (2009-2019) database analysis of patients treated with pathogenetically oriented alpha-lipoic acid (ALA) or symptomatic pharmacotherapies for diabetic neuropathy.

Changes in mortality rates and ratios in people with pharmacologically treated type 2 diabetes mellitus between 2001 and 2016 in Hungary.

Aims: Type 2 diabetes mellitus (T2DM) is associated with a higher risk of all-cause mortality; however, detailed analyses of subgroups are rare. In this study we analyzed the changes of age- and gender-specific all-cause mortality rates and ratios in T2DM subjects (aged > 40 years) in Hungary between 2001 and 2016.

Methods: We used the central database of the National Institute of Health Insurance Fund.

Decreasing incidence of pharmacologically treated Type 2 diabetes in Hungary from 2001 to 2016: A nationwide cohort study.

Aims: Incidence and prevalence of Type 2 diabetes mellitus (T2DM) vary in different regions. Long-term nationwide epidemiological data are useful to assess trends over time. The aim of the study was to analyze the epidemiological changes of pharmacologically treated T2DM among people aged over 18 years in Hungary between 2001 and 2016.

Large increase in the prevalence of self-reported diabetes based on a nationally representative survey in Hungary.

Aims: To estimate and compare the prevalence of self-reported diabetes based on nationally representative surveys of the Hungarian adult population in 2002 (published data - Hungarostudy) and a survey in 2012.

Methods: A cross-sectional computer-assisted telephone interview survey on a stratified representative sample of community-dwelling adults (n=1000) in 2012. To describe self-reported diabetes prevalence and its temporal changes generalized linear models were used and results were compared to figures from Hungarostudy.