The Effect of Metformin on Colorectal Carcinoma in Type 2 Diabetes Mellitus Patients: A Markov Model Analysis

2017 ◽  
Vol 06 (02) ◽  
Author(s):  
Tianhong Su ◽  
Yihao Liu ◽  
Weifeng Liu ◽  
Shuling Chen ◽  
Qian Zhou ◽  
...  
PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246635
Author(s):  
Juyoung Kim ◽  
Seok-Jun Yoon ◽  
Min-Woo Jo

Background The burden of diabetes is considerable not only globally but also nationally within Korea. The Global Burden of Disease study derived the disability-adjusted life years (DALYs) of diabetes depending on its complications as individual severity using prevalence-based approach from 2017. Conversely, the Korean National Burden of Disease study based on an incidence-based approach does not incorporate the severity of diseases. This study aimed to simulate incidence-based DALYs of type 2 diabetes mellitus (T2DM), given diabetic complications as disease severity using a Markov model. Methods We developed a model with six Markov states, including incident and existing prevalent cases of diabetes and its complications and death. We assumed that diabetes and its complications would not be cured. The cycle length was one year, and the endpoint of the simulation was 100 years. A 5% discount rate was adopted in the analysis. Transition cases were counted by 5-year age groups above 30 years of age. Age- and sex-specific transition probabilities were calculated based on the incident rate. Results The total DALY estimates of T2DM were 5,417 and 3,934 per 100,000 population in men and women, respectively. The years of life lost in men were relatively higher than those in women in most age groups except the 80–84 age group. The distribution of years lived with disability by gender and age group showed a bell shape, peaking in the 55–59 age group in men and 65–69 age group in women. Conclusions The burden of T2DM considering its complications was larger compared to the outcomes from previous studies, with more precise morbid duration using the Markov model.


2020 ◽  
Author(s):  
Antonio Herrera ◽  
Andrés León ◽  
Fátima M. Rodríguez ◽  
Elisa M. Sepúlveda ◽  
Lizbeth Guilbert ◽  
...  

2009 ◽  
Vol 41 (9) ◽  
pp. 924-929 ◽  
Author(s):  
A. E. DURHAM ◽  
K. J. HUGHES ◽  
H. J. COTTLE ◽  
D. I. RENDLE ◽  
R. C. BOSTON

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 326
Author(s):  
Ming-Yen Lin ◽  
Jia-Sin Liu ◽  
Tzu-Yang Huang ◽  
Ping-Hsun Wu ◽  
Yi-Wen Chiu ◽  
...  

(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.


2015 ◽  
Vol 21 ◽  
pp. 280-281
Author(s):  
Medha Munshi ◽  
Jasvinder Gill ◽  
Jason Chao ◽  
Elena Nikonova ◽  
Andreas Stuhr ◽  
...  

2015 ◽  
Vol 21 ◽  
pp. 106
Author(s):  
Franco Grimaldi ◽  
Laura Tonutti ◽  
Claudia Cipri ◽  
Cecilia Motta ◽  
Maria Antonietta Pellegrini ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document