Cause-specific mortality in endometrioid endometrial cancer patients with type 2 diabetes using metformin or other types of antidiabetic medication

AbstractEarly reports indicate that metformin, a clinical drug administered to treat type 2 diabetes mellitus (T2DM), was found to be associated with a better prognosis of cancer. The objective of this study was retrospectively analyzed the effect of metformin on the outcomes of Chinese breast cancer patients with T2DM. A total of 3757 primary invasive breast cancer patients who underwent surgery from January 2010 to December 2013 were enrolled. According to the medication treatment, all the patients were divided as non-diabetes group, metformin group and insulin group. The follow-up data for disease-free survival (DFS) and overall survival (OS) were obtained from 3553 patients (median follow up of 85 months) and estimated with the Kaplan–Meier method followed by a log-rank test. Multivariate Cox proportional hazards regression model was applied. The results showed that there was a significant survival difference among non-diabetes group, metformin group and insulin group, 5-year DFS was 85.8%, 96.1%, 73.0%, and 5-year OS was 87.3%, 97.1%, 73.3% respectively (P < 0.05). Prognostic analysis showed metformin was significantly associated with better DFS and OS. Our results suggested that metformin may have a good effect on the survival of invasive breast cancer patients with T2DM.

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Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank

10.2337/figshare.16965199 ◽

2021 ◽

Author(s):

Han Han ◽

Yaying Cao ◽

Chengwu Feng ◽

Yan Zheng ◽

Klodian Dhana ◽

...

Keyword(s):

Type 2 Diabetes ◽

Respiratory Disease ◽

Digestive Disease ◽

Diabetes Management ◽

Healthy Lifestyle ◽

Population Attributable Risk ◽

Uk Biobank ◽

All Cause Mortality ◽

Specific Mortality

<a>Objective: </a><a></a><a></a><a></a><a></a><a>To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes.</a> Research Design and Methods: This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of CVD or cancer. Lifestyle information was collected through a baseline questionnaire. <a>Results: During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease.</a><a> In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality and hazard ratios (95% CIs) associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable-risk analysis, 27.1% (95% CI: 16.1, 38.0%) death was attributable to a poor lifestyle (scoring 0-5). </a><a>The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication)</a>. Conclusions: <a></a><a></a>A healthy lifestyle was associated with a lower risk of mortality due to all-cause, CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes.

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Long-term survival of endometrioid endometrial cancer patients

Archives of Medical Science ◽

10.5114/aoms.2010.19305 ◽

2010 ◽

Vol 6 ◽

pp. 937-944 ◽

Cited By ~ 23

Author(s):

Leszek Gottwald ◽

Piotr Pluta ◽

Janusz Piekarski ◽

Michał Spych ◽

Katarzyna Hendzel ◽

...

Keyword(s):

Endometrial Cancer ◽

Cancer Patients ◽

Term Survival ◽

Long Term Survival ◽

Endometrioid Endometrial Cancer

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MA06.07 Impact of Type 2 Diabetes Mellitus and Its Metabolic Control on Prognosis of Unresectable Non-Small Cell Lung Cancer Patients

Journal of Thoracic Oncology ◽

10.1016/j.jtho.2016.11.420 ◽

2017 ◽

Vol 12 (1) ◽

pp. S373

Author(s):

Milana Bergamino Sirvén ◽

Aj Rullan ◽

Maria Saigi ◽

Inmaculada Peiró ◽

Eduard Montanya ◽

...

Keyword(s):

Diabetes Mellitus ◽

Lung Cancer ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Small Cell ◽

Small Cell Lung ◽

Lung Cancer Patients

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Medication Regimen Complexity and A1C Goal Attainment in Underserved Adults With Type 2 Diabetes

Annals of Pharmacotherapy ◽

10.1177/1060028016673652 ◽

2016 ◽

Vol 51 (2) ◽

pp. 111-117 ◽

Cited By ~ 10

Author(s):

Alicia Yeh ◽

Bijal Shah-Manek ◽

Kajua B. Lor

Keyword(s):

Type 2 Diabetes ◽

Glycemic Control ◽

Smoking Status ◽

Medication Regimen ◽

Antidiabetic Medication ◽

Patient Level ◽

Medication Regimen Complexity ◽

Regimen Complexity ◽

Specific Medication

Background: From 2009 to 2012, 51.8% of American adults with diabetes had a hemoglobin A1C (A1C) >7.0%. The complexity of antidiabetic medication regimens may have an impact on glycemic control. Objective: The primary objective was to test the hypothesis that higher diabetes-specific medication regimen complexity index (MRCI) was associated with lower attainment of A1C goal <7.0% in an underserved, predominantly Hispanic population of adults with type 2 diabetes. Secondary analyses included less stringent A1C goals of <8.0% and <9.0% and overall patient-level MRCI. Methods: This study was a retrospective, observational, cross-sectional study of individuals with type 2 diabetes from January 2011 to January 2016. Data was obtained from the electronic medical record and MRCI was calculated using the 65-item validated Microsoft Access Version 1.0 medication regimen complexity electronic data capture tool. Logistic regression was used to compute unadjusted and adjusted odds ratios. Results: A total of 368 patients were included in the analysis. High diabetes-specific MRCI was associated with lower attainment of A1C goal <7.0% (adjusted OR = 0.09; 95% CI = 0.04-0.18) controlling for age, gender, ethnicity, insurance, body mass index, smoking status, hypertension, and hyperlipidemia. Similar results were obtained for the less stringent A1C goals. However, results for overall patient-level MRCI were mixed. Conclusions: Higher diabetes-specific medication regimen complexity was associated with poorer glycemic control. Simplifying antidiabetic medication regimens, especially where the treatment guidelines give no preference, could be a step toward achieving treatment goals.

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