Risk of Breast Cancer in Patients diagnosed with Type 2 Diabetes (T2DM): An Observational Study using the UK General Practitioner Research Database (GPRD)

2021 ◽  
Author(s):  
Maryann Attah
Keyword(s):  
Breast Cancer ◽  
Type 2 Diabetes ◽  
General Practitioner ◽  
Observational Study ◽  
Practitioner Research ◽  
Research Database ◽  
The Uk

scholarly journals The Performance of Different Artificial Intelligence Models in Predicting Breast Cancer among Individuals Having Type 2 Diabetes Mellitus

Cancers ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1751 ◽  
Author(s):  
Meng-Hsuen Hsieh ◽  
Li-Min Sun ◽  
Cheng-Li Lin ◽  
Meng-Ju Hsieh ◽  
Chung Hsu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Characteristic Curve ◽  
Small Population ◽  
Research Database ◽  
Artificial Intelligence Models ◽  
Artificial Neural Network Ann

Objective: Early reports indicate that individuals with type 2 diabetes mellitus (T2DM) may have a greater incidence of breast malignancy than patients without T2DM. The aim of this study was to investigate the effectiveness of three different models for predicting risk of breast cancer in patients with T2DM of different characteristics. Study design and methodology: From 2000 to 2012, data on 636,111 newly diagnosed female T2DM patients were available in the Taiwan’s National Health Insurance Research Database. By applying their data, a risk prediction model of breast cancer in patients with T2DM was created. We also collected data on potential predictors of breast cancer so that adjustments for their effect could be made in the analysis. Synthetic Minority Oversampling Technology (SMOTE) was utilized to increase data for small population samples. Each datum was randomly assigned based on a ratio of about 39:1 into the training and test sets. Logistic Regression (LR), Artificial Neural Network (ANN) and Random Forest (RF) models were determined using recall, accuracy, F1 score and area under the receiver operating characteristic curve (AUC). Results: The AUC of the LR (0.834), ANN (0.865), and RF (0.959) models were found. The largest AUC among the three models was seen in the RF model. Conclusions: Although the LR, ANN, and RF models all showed high accuracy predicting the risk of breast cancer in Taiwanese with T2DM, the RF model performed best.

scholarly journals Attendance, weight and waist circumference outcomes of patients with type 2 diabetes receiving Medicare-subsidised dietetic services

2014 ◽  
Vol 20 (3) ◽  
pp. 291 ◽  
Author(s):  
Lisa Spencer ◽  
Marie-Claire O'Shea ◽  
Lauren Ball ◽  
Ben Desbrow ◽  
Michael Leveritt
Keyword(s):  
Type 2 Diabetes ◽  
Body Mass Index ◽  
General Practitioner ◽  
Waist Circumference ◽  
Observational Study ◽  
Health Outcomes ◽  
Private Practice ◽  
Prospective Observational Study ◽  
Team Care

The aim of the present study was to investigate the participation and weight and waist circumference outcomes of patients with type 2 diabetes (T2D) receiving Medicare-subsidised dietetic services. A prospective observational study was conducted between January and September 2011 involving three private practice dietitians who provided services at 11 medical centres in south-east Queensland. All patients with T2D who were referred by their general practitioner (GP) to one of the dietitians as part of their team care arrangements were asked to participate. Participants’ attendance at consultations was recorded for the study duration. The dietitian collected weight and waist circumference measures at each consultation. In all, 129 participants (mean age 58.9 ± 15.7 years; mean body mass index 32.2 ± 5.6 kg m–2) were included in the study. The most frequent number of consultations allocated to a dietitian was two. Small, but significant reductions in bodyweight (1.9 ± 2.9 kg; P ≤ 0.05) and waist circumference (2.0 ± 4.8 cm; P ≤ 0.05) were observed from the initial to final consultation. Participants who attended more than two consultations lost significantly more weight than those who attended two consultations only (3.7 ± 4.2 vs 1.1 ± 1.6 kg, respectively; P ≤ 0.05). Almost one-third of participants (n = 38; 29%) did not complete the allocated number of consultations available through their referral. Modest weight and waist circumference reductions are achievable for patients with T2D receiving Medicare-subsidised dietetic services. The clinical significance of these reductions requires further investigation. Patients who attend more consultations with a dietitian may experience further improvements in weight and waist circumference outcomes. However, many patients do not complete the number of consultations allocated. Further research is required to explore the determinants of attendance at consultations in order to maximise potential improvements in health outcomes for patients receiving Medicare-subsidised dietetic services.

scholarly journals Risk of stroke in people with type 2 diabetes in the UK: a study using the General Practice Research Database

Diabetologia ◽  
2006 ◽  
Vol 49 (12) ◽  
pp. 2859-2865 ◽  
Author(s):  
H. E. Mulnier ◽  
H. E. Seaman ◽  
V. S. Raleigh ◽  
S. S. Soedamah-Muthu ◽  
H. M. Colhoun ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
General Practice ◽  
General Practice Research Database ◽  
Practice Research ◽  
Research Database ◽  
The Uk
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