Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on affected individuals and health-care systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes. Methods and Analysis: Primary care data from the Clinical Practice Research Datalink (CPRD), linked hospitalisation and mortality records between April-2007 and March-2017 for T2DM patients in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts...
Abstract Background The increasing burden of type 2 diabetes mellitus makes the continuous surveilla...
OBJECTIVES:UK Biobank is a UK-wide cohort of 502,655 people aged 40-69, recruited from National Heal...
Abstract Background Electronic medical records contai...
Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on a...
Objective Clinically applicable diabetes severity measures are lacking, with no previous studies com...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Aims: To identify and critically appraise measures that use clinical data to grade the severity of T...
Aims To identify and critically appraise measures that use clinical data to grade the severity of T...
Background/Aims: The assessment of disease severity in people with diabetes enables identification o...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
BACKGROUND: Electronic diabetes registers promote structured care and enable identification of undia...
PURPOSE:The University of Surrey-Lilly Real World Evidence (RWE) diabetes cohort has been establishe...
Objectives: To identify all patients with diabetes in a community using electronic record linkage of...
Aims: To investigate the rates and risk of hospitalisations in patients with type 2 diabetes (T2D) m...
Objectives: UK Biobank is a UK-wide cohort of 502,655 people aged 40–69, recruited from National Hea...
Abstract Background The increasing burden of type 2 diabetes mellitus makes the continuous surveilla...
OBJECTIVES:UK Biobank is a UK-wide cohort of 502,655 people aged 40-69, recruited from National Heal...
Abstract Background Electronic medical records contai...
Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on a...
Objective Clinically applicable diabetes severity measures are lacking, with no previous studies com...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Aims: To identify and critically appraise measures that use clinical data to grade the severity of T...
Aims To identify and critically appraise measures that use clinical data to grade the severity of T...
Background/Aims: The assessment of disease severity in people with diabetes enables identification o...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
BACKGROUND: Electronic diabetes registers promote structured care and enable identification of undia...
PURPOSE:The University of Surrey-Lilly Real World Evidence (RWE) diabetes cohort has been establishe...
Objectives: To identify all patients with diabetes in a community using electronic record linkage of...
Aims: To investigate the rates and risk of hospitalisations in patients with type 2 diabetes (T2D) m...
Objectives: UK Biobank is a UK-wide cohort of 502,655 people aged 40–69, recruited from National Hea...
Abstract Background The increasing burden of type 2 diabetes mellitus makes the continuous surveilla...
OBJECTIVES:UK Biobank is a UK-wide cohort of 502,655 people aged 40-69, recruited from National Heal...
Abstract Background Electronic medical records contai...