scholarly journals Neutral effect of Exenatide on Serum Testosterone in Men with Type 2 Diabetes Mellitus: a Prospective Cohort

Andrology ◽  
2021 ◽  
Author(s):  
Sky Graybill ◽  
Jennifer Hatfield ◽  
Maria Kravchenko ◽  
Darrick Beckman ◽  
Joshua Tate ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Prospective Cohort ◽  
Serum Testosterone ◽  
Neutral Effect

scholarly journals Incidence of type 2 diabetes mellitus and prediabetes in Kerala, India: results from a 10-year prospective cohort

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Gadadharan Vijayakumar ◽  
Sreeja Manghat ◽  
Revathi Vijayakumar ◽  
Leena Simon ◽  
Liss Maria Scaria ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Prospective Cohort

scholarly journals Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Qingqing Liu ◽  
Jie Yuan ◽  
Maerjiaen Bakeyi ◽  
Jie Li ◽  
Zilong Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Prospective Cohort ◽  
Training Set ◽  
Obese Adults ◽  
Validation Set

Background. The twin epidemic of overweight/obesity and type 2 diabetes mellitus (T2DM) is a major public health problem globally, especially in China. Overweight/obese adults commonly coexist with T2DM, which is closely related to adverse health outcomes. Therefore, this study aimed to develop risk nomogram of T2DM in Chinese adults with overweight/obesity. Methods. We used prospective cohort study data for 82938 individuals aged ≥20 years free of T2DM collected between 2010 and 2016 and divided them into a training (n = 58056) and a validation set (n = 24882). Using the least absolute shrinkage and selection operator (LASSO) regression model in training set, we identified optimized risk factors of T2DM, followed by the establishment of T2DM prediction nomogram. The discriminative ability, calibration, and clinical usefulness of nomogram were assessed. The results were assessed by internal validation in validation set. Results. Six independent risk factors of T2DM were identified and entered into the nomogram including age, body mass index, fasting plasma glucose, total cholesterol, triglycerides, and family history. The nomogram incorporating these six risk factors showed good discrimination regarding the training set, with a Harrell’s concordance index (C-index) of 0.859 [95% confidence interval (CI): 0.850–0.868] and an area under the receiver operating characteristic curve of 0.862 (95% CI: 0.853–0.871). The calibration curves indicated well agreement between the probability as predicted by the nomogram and the actual probability. Decision curve analysis demonstrated that the prediction nomogram was clinically useful. The consistent of findings was confirmed using the validation set. Conclusions. The nomogram showed accurate prediction for T2DM among Chinese population with overweight and obese and might aid in assessment risk of T2DM.

scholarly journals Understanding the Relationship between Type 2 Diabetes Mellitus and Falls in Older Adults: A Prospective Cohort Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e67055 ◽  
Author(s):  
Tine Roman de Mettelinge ◽  
Dirk Cambier ◽  
Patrick Calders ◽  
Nele Van Den Noortgate ◽  
Kim Delbaere
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Older Adults ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Falls In Older Adults ◽  
The Relationship
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