Welcome to BioMed Central's Diabetes Gateway, featuring articles from our journals within this field as well as useful resources and news items.
DNA methylation-derived age measures are heritable and can be used to predict individual mortality, irrespective of health, lifestyle and genetics
Current methods to identify pathogens causing diabetic foot infections (DFIs) are inadequate, so Anne Spichler and colleagues suggest that developing new molecular techniques to better understand DFI microbiology will lead to better management of this complex disease.
Interviews with trial staff during an investigation concerning trial recruitment and adherence revealed the underreported emotional aspects of trial work, including emotional stresses in meeting recruitment targets and the need for emotional management of oneself, patients and colleagues.
As quality of reporting clinical prediction models is often poor, Gary Collins and colleagues have developed the TRIPOD statement, which provides authors and editors with a 22-item checklist to ensure all key elements of a multivariable prediction model can be adequately reported.
Evidence from a meta-analysis suggests that there are sex differences in risk factors for mortality after myocardial infarction (MI), providing information that should inform prediction models to improve risk assessment for men and women.
Authors of BioMed Central diabetes-related articles, by location
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