Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition.
Pouya Saeedi,Inga Petersohn,Paraskevi Salpea,Belma Malanda,Suvi Karuranga,Nigel Unwin,Stephen Colagiuri,Leonor Guariguata,Ayesha A. Motala,Katherine Ogurtsova,Jonathan E. Shaw,Dominic Bright,Rhys Williams +12 more
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TLDR
Just under half a billion people are living with diabetes worldwide and the number is projected to increase by 25% in 2030 and 51% in 2045, with the prevalence higher in urban than rural areas, and in high-income than low-income countries.About:
This article is published in Diabetes Research and Clinical Practice.The article was published on 2019-09-10 and is currently open access. It has received 4865 citations till now.read more
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Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan.
TL;DR: In this article, the authors applied a highly interpretable AI method, random forest (RF), to large-scale health check-up data and examined whether there was an advantage over a conventional prediction model.
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A Blood Glucose Control Framework Based on Reinforcement Learning With Safety and Interpretability: In Silico Validation
TL;DR: In this paper, a soft actor-critic network was used to determine insulin dosing in the early phase, and an adaptive safe actor with suspension and additional insulin dose was incorporated.
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Blueberry as an Attractive Functional Fruit to Prevent (Pre)Diabetes Progression
TL;DR: Preclinical data from in vitro assays, animal models and human studies are revisited, aiming to disclose the potential mechanisms by which blueberries may be a fruitful source of phytochemicals able to prevent (pre)diabetes progression.
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Chemical Profile of Launaea nudicaulis Ethanolic Extract and Its Antidiabetic Effect in Streptozotocin-Induced Rats
Samah A El-Newary,Sherif M. Afifi,Mohamed S. A. Aly,Rania F. Ahmed,Abd El-Nasser G. El Gendy,Ahmed M. Abd-ElGawad,Mohamed A. Farag,Mohamed A. Farag,Abdelbaset M Elgamal,Abdelsamed I. Elshamy +9 more
TL;DR: In this paper, the authors assessed the antidiabetic activity of L. nudicaulis ethanolic extract and its effect on diabetic complications in streptozotocin-induced hyperglycemic rats.
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Can Smart Pens Help Improve Diabetes Management
Sarah L. Sy,Sarah L. Sy,Sarah L. Sy,Medha M. Munshi,Medha M. Munshi,Medha M. Munshi,Elena Toschi,Elena Toschi +7 more
TL;DR: These devices have the potential to transform diabetes management for clinicians, and patients with type 1 and type 2 diabetes on insulin therapy by improving adherence, glycemic control, and addressing barriers to diabetes management.
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TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
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Global, regional, and national incidence, prevalence, andyears lived with disability for 354 diseases and injuries for195 countries and territories, 1990–2017: a systematicanalysis for the Global Burden of Disease Study 2017
Gbd Disease,Injury Incidence,Lorenzo Monasta,Luca Ronfani,Ettore Beghi,Giorgia Giussani,Boris Bikbov,Norberto Perico,Cristina Bosetti,Monica Cortinovis,Silvano Gallus,Giuseppe Remuzzi +11 more
TL;DR: All-cause age-standardised YLD rates decreased by 3·9% from 1990 to 2017; however, the all-age YLD rate increased by 7·2% while the total sum of global YLDs increased from 562 million (421–723) to 853 million (642–1100).
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Decision making with the analytic hierarchy process
TL;DR: The Analytic Hierarchy Process (AHP) is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales that measure intangibles in relative terms.
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Decision Making with the Analytic Hierarchy Process
TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a theory of measurement through pairwise comparisons and relies on the judgements of experts to derive priority scales, these scales are these scales that measure intangibles in relative terms.
Journal ArticleDOI
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.
Nam H. Cho,Nam H. Cho,Jonathan E. Shaw,Suvi Karuranga,Yadi Huang,J. D. da Rocha Fernandes,A.W. Ohlrogge,Belma Malanda +7 more
TL;DR: The new estimates of diabetes prevalence, deaths attributable to diabetes and healthcare expenditure due to diabetes present a large social, financial and health system burden across the world.