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IDF Diabetes Atlas
3 Results
- Research Article
IDF Diabetes Atlas estimates of 2014 global health expenditures on diabetes
Diabetes Research and Clinical PracticeVol. 117p48–54Published online: April 26, 2016- Joao da Rocha Fernandes
- Katherine Ogurtsova
- Ute Linnenkamp
- Leonor Guariguata
- Till Seuring
- Ping Zhang
- and others
Cited in Scopus: 201Diabetes mellitus imposes high human, social and economic costs worldwide. Since the publication of the first International Diabetes Federation (IDF) Diabetes Atlas in 2000, successive editions have provided consistent evidence of the continuing growth of diabetes incidence and prevalence rates. - IDF Diabetes Atlas
Diabetes in the young – a global view and worldwide estimates of numbers of children with type 1 diabetes
Diabetes Research and Clinical PracticeVol. 103Issue 2p161–175Published online: December 12, 2013- Chris Patterson
- Leonor Guariguata
- Gisela Dahlquist
- Gyula Soltész
- Graham Ogle
- Martin Silink
Cited in Scopus: 273This paper describes the methodology, results and limitations of the 2013 International Diabetes Federation (IDF) Atlas (6th edition) estimates of the worldwide numbers of prevalent cases of type 1 diabetes in children (<15 years). The majority of relevant information in the published literature is in the form of incidence rates derived from registers of newly diagnosed cases. Studies were graded on quality criteria and, if no information was available in the published literature, extrapolation was used to assign a country the rate from an adjacent country with similar characteristics. - IDF Diabetes Atlas
Global estimates of undiagnosed diabetes in adults
Diabetes Research and Clinical PracticeVol. 103Issue 2p150–160Published online: December 3, 2013- Jessica Beagley
- Leonor Guariguata
- Clara Weil
- Ayesha A. Motala
Cited in Scopus: 359The prevalence of diabetes is rapidly increasing worldwide. Type 2 diabetes may remain undetected for many years, leading to severe complications and healthcare costs. This paper provides estimates of the prevalence of undiagnosed diabetes mellitus (UDM), using available data from high quality representative population-based sources.