scholarly journals Heart failure among people with Type 2 diabetes mellitus: real‐world data of 289 954 people from a diabetes database

2019 ◽  
Vol 37 (8) ◽  
pp. 1291-1298
Author(s):  
D. Stoyanova ◽  
B. Stratmann ◽  
A. Schwandt ◽  
N. Heise ◽  
S. Mühldorfer ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Real World Data ◽  
World Data

Real world data of Type 2 Diabetes Mellitus (T2DM) obese patients using another GLP1 receptor agonist (GLP1–RA) and switching to Semaglutide in Spain

2020 ◽  
Author(s):  
Jersy Cardenas ◽  
Gomez Nancy Sanchez ◽  
Sierra Poyatos Roberto Miguel ◽  
Luca Bogdana Luiza ◽  
Mostoles Naiara Modroño ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Receptor Agonist ◽  
Obese Patients ◽  
Real World Data ◽  
World Data

scholarly journals Using real-world data to estimate the changing trends in the prevalence and incidence of type 2 diabetes mellitus in Xiamen of China from 2014 to 2019

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weiwei He ◽  
Qiushi Xu ◽  
Lili Han ◽  
Ting Wu ◽  
Xiulin Shi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Floating Population ◽  
Real World Data ◽  
World Data ◽  
Changing Trends ◽  
Incident Cases

Abstract Background The prevalence of diabetes is increasing worldwide. Our study aimed to estimate the changing trends in the prevalence and incidence of diagnosed type 2 diabetes mellitus (T2DM) among Xiamen residents and the floating population using real-world data. Method We used real-world data from the System of Xiamen Citizens Health Information from 2014 to 2019 to estimate the changing trends in the prevalence and incidence of diagnosed T2DM. The System included the diagnosis of diabetes and the prescription of hypoglycemic drugs. Prevalent cases of T2DM were individuals who were diagnosed with T2DM and/or using hypoglycemic drugs. Incident cases were individuals with diagnosed T2DM and/or using hypoglycemic drugs in 2014 or 2019 who had not been diagnosed and/or did not use hypoglycemic drugs in the past. Results In 2014 and 2019, the prevalence of T2DM in Xiamen was 4.04 and 4.84%, respectively. In 2014 and 2019, the incidence rate of T2DM in Xiamen was 14.1 per 1000 person-year and 15.0 per 1000 person-year, respectively. There was a significant increase in both the prevalence (Prevalence difference: 0.80, 95%CI 0.76–0.83%, P < 0.001) and the incidence of T2DM (Incidence difference: 0.9, 95%CI 0.7–1.1, P < 0.001). in Xiamen. The prevalence and incidence of T2DM in people aged 18–39 increased significantly (P < 0.001), while the prevalence and incidence of T2DM in people aged 40–69 reduced significantly (P < 0.001). Conclusions There was a significant increase in the prevalence and incidence of T2DM in Xiamen from 2014 to 2019 especially among those with younger age.

scholarly journals Using Real-World Data to Estimate the Changing Trends in the Prevalence and Incidence of Type 2 Diabetes Mellitus in Xiamen of China, 2014-2019

2020 ◽  
Author(s):  
Weiwei He ◽  
Qiushi Xu ◽  
Lili Han ◽  
Ting Wu ◽  
Xiulin Shi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Floating Population ◽  
Real World Data ◽  
World Data ◽  
Changing Trends ◽  
Incident Cases

Abstract Background: The prevalence of diabetes is increasing worldwide. Our study aimed to estimate the changing trends in the prevalence and incidence of diagnosed type 2 diabetes mellitus (T2DM) among Xiamen residents and the floating population using real-world data.Methods: We used real-world data from the System of Xiamen Citizens Health Information from 2014 to 2019 to estimate the changing trends in prevalence and incidence of diagnosed T2DM. The systems included the diagnosis of diabetes and the prescription of hypoglycemic drugs. Prevalent cases of T2DM were individuals who diagnosed T2DM and/or using hypoglycemic drugs. Incident cases were individuals with diagnosed T2DM and/or using hypoglycemic drugs in 2014 who had not diagnosed and/or no used one in the past.Results: In 2014 and 2019, the prevalence of T2DM in Xiamen was 4.04% (95% CI 4.02-4.06) and 4.84% (95% CI 4.81-4.86), respectively. In 2014 and 2019, the incidence of T2DM in Xiamen was 1.41% (95% CI 1.39-1.42) and 1.50% (95% CI 1.48-1.51), respectively. There was an increase significant in the total of the prevalence and incidence of T2DM in Xiamen from 2014 to 2019 (0.80% (95% CI 0.76%-0.83%, P <0.001; 0.09% (95% CI 0.07-0.11), P<0.001, respectively). The prevalence and incidence of T2DM in people aged 18-39 years increased significantly from 2014 to 2019, while the prevalence and incidence of T2DM in people aged 40-69 years reduced significantly from 2014 to 2019. Conclusion: We found that there was an increasingly significant in the total of the prevalence and incidence of T2DM in Xiamen from 2014 to 2019. The prevalence and incidence of T2DM in people aged 18-39 years increased significantly, while that in people aged 40-69 years reduced significantly indicating that the prevalence and incidence of T2DM in Xiamen were significantly increased and showed a trend of younger age.

1508-P: Trends in Treatment Initiation and Management of Type 2 Diabetes Mellitus: Analysis of 20 Years of Real-World Data

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1508-P ◽  
Author(s):  
CHELI MELZER COHEN ◽  
VARDA SHALEV ◽  
GABRIEL CHODICK
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Treatment Initiation ◽  
Real World Data ◽  
World Data

scholarly journals Real-World Data Collection Regarding Titration Algorithms for Insulin Glargine in Patients With Type 2 Diabetes Mellitus

2016 ◽  
Vol 10 (5) ◽  
pp. 1122-1129 ◽  
Author(s):  
Andreas Pfützner ◽  
Bernd Stratmann ◽  
Klaus Funke ◽  
Harald Pohlmeier ◽  
Ludger Rose ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Data Collection ◽  
Insulin Glargine ◽  
Real World ◽  
Real World Data ◽  
World Data

scholarly journals Using Real-world data to Estimate the Changing Trends in the Prevalence and Incidence of type 2 Diabetes Mellitus in Xiamen of China,2014-2019

2020 ◽  
Author(s):  
Weiwei He ◽  
Qiushi Xu ◽  
Lili Han ◽  
Ting Wu ◽  
Xiulin Shi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Real World ◽  
Floating Population ◽  
Real World Data ◽  
World Data ◽  
Changing Trends ◽  
Incident Cases

Abstract Background: The prevalence of diabetes is increasing worldwide. Our study aimed to estimate the changing trends in the prevalence and incidence of diagnosed type 2 diabetes mellitus (T2DM) among Xiamen residents and the floating population using real-world data. Method: We used real-world data from the System of Xiamen Citizens Health Information from 2014 to 2019 to estimate the changing trends in prevalence and incidence of diagnosed T2DM. The systems included the diagnosis of diabetes and the prescription of hypoglycemic drugs. Prevalent cases of T2DM were individuals who diagnosed T2DM and/or using hypoglycemic drugs. Incident cases were individuals with diagnosed T2DM and/or using hypoglycemic drugs in 2014 who had not diagnosed and/or no used one in the past. Results: In 2014 and 2019, the prevalence of T2DM in Xiamen was 4.04% and 4.84%, respectively. In 2014 and 2019, the incidence of T2DM in Xiamen was 1.41% and 1.50%, respectively. There was an increase significant in the total of the prevalence and incidence of T2DM in Xiamen (0.80% (95% CI 0.76%-0.83%, P <0.001; 0.09% (95% CI 0.07-0.11), P<0.001, respectively). The prevalence and incidence of T2DM in people aged 18-39 increased significantly, while the prevalence and incidence of T2DM in people aged 40-69 reduced significantly. Conclusions: We found that there was an increasingly significant in the total of the prevalence and incidence of T2DM in Xiamen from 2014 to 2019. The prevalence and incidence of T2DM in Xiamen were significantly increased and showed a trend of younger age.

scholarly journals Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 326
Author(s):  
Ming-Yen Lin ◽  
Jia-Sin Liu ◽  
Tzu-Yang Huang ◽  
Ping-Hsun Wu ◽  
Yi-Wen Chiu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Markov Model ◽  
Prediction Model ◽  
Real World ◽  
Small Range ◽  
Real World Data ◽  
World Data

(1) Background: A disease prediction model derived from real-world data is an important tool for managing type 2 diabetes mellitus (T2D). However, an appropriate prediction model for the Asian T2D population has not yet been developed. Hence, this study described construction details of the T2D Holistic Care model via estimating the probability of diabetes-related complications and the time-to-occurrence from a population-based database. (2) Methods: The model was based on the database of a Taiwan pay-for-performance reimbursement scheme for T2D between November 2002 and July 2017. A nonhomogeneous Markov model was applied to simulate multistate (7 main complications and death) transition probability after considering the sequential and repeated difficulties. (3) Results: The Markov model was constructed based on clinical care information from 163,452 patients with T2D, with a mean follow-up time of 5.5 years. After simulating a cohort of 100,000 hypothetical patients over a 10-year time horizon based on selected patient characteristics at baseline, a good predicted complication and mortality rates with a small range of absolute error (0.3–3.2%) were validated in the original cohort. Better and optimal predictabilities were further confirmed compared to the UKPDS Outcomes model and applied the model to other Asian populations, respectively. (4) Contribution: The study provides well-elucidated evidence to apply real-world data to the estimation of the occurrence and time point of major diabetes-related complications over a patient’s lifetime. Further applications in health decision science are encouraged.

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