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The Role Of Pre-Existing Type 2 Diabetes Mellitus In Colorectal Cancer Stage And Survival In Elderly Americans: A Seer-Medicare Population-Based Study 2002-~2011, Sanae El Ibrahimi Dec 2017

The Role Of Pre-Existing Type 2 Diabetes Mellitus In Colorectal Cancer Stage And Survival In Elderly Americans: A Seer-Medicare Population-Based Study 2002-~2011, Sanae El Ibrahimi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Diabetes is a common comorbid condition among colorectal cancer (CRC) patients, yet its effects in CRC outcomes, particularly stage at diagnosis, risk of death and variations by diabetes severity (complications vs no complications) and Hispanic ethnicity have not been adequately studied. The purpose of this study was to investigate the association between pre-existing T2DM and advanced stage at diagnosis in elderly patients with CRC; to examine whether diabetes is an independent predictor of poor survival from all-cause and CRC-specific mortality; to assess whether variations exist by diabetes severity and to analyze the outcomes for the Hispanic group.

The Surveillance Epidemiology …


Application Of The Misclassification Simulation Extrapolation (Mc-Simex) Procedure To Log-Logistic Accelerated Failure Time (Aft) Models In Survival Analysis, Varadan Sevilimedu Jan 2017

Application Of The Misclassification Simulation Extrapolation (Mc-Simex) Procedure To Log-Logistic Accelerated Failure Time (Aft) Models In Survival Analysis, Varadan Sevilimedu

Electronic Theses and Dissertations

Survival analysis is the study of time to event outcomes. Accelerated Failure Time models (AFT) serve as a useful tool in survival analysis to study the time of occurrence of an event and its relation to the covariates of interest. The accuracy of estimation of parameters in a model depends upon the correct measurement of covariates. Considering that perfect measurement of covariates is highly unlikely, it is imperative that the performance of the existing bias-correction methods be analyzed in AFT models. However, certain areas of bias-correction in AFT models still remain unexplored. One of these unexplored areas, is a situation …


Effects Of A Mindfulness Based Intervention On Diurnal Cortisol In Cancer Survivors, Susannah Small Jan 2017

Effects Of A Mindfulness Based Intervention On Diurnal Cortisol In Cancer Survivors, Susannah Small

Theses and Dissertations

Background. There are approximately 15.5 million individuals alive today in the U.S. with a personal history of cancer. For this large and growing population, ill effects associated with cancer diagnosis and treatment include both physical and psychosocial symptoms adversely affecting quality of life. One low-risk alternative to conventional pharmaceutical use in treating these symptoms is mindfulness practice. Research on self-reported measures provides strong evidence that this type of intervention improves quality of life for cancer survivors, but evidence of impact on objective measures is limited. Cortisol, the body’s primary stress hormone, is one relatively easy to measure indicator that …


Association Between Diabetes And Cancer In Indian And Us Populations Using Longitudinal Study Design, Shraddha S. Vyas Jan 2017

Association Between Diabetes And Cancer In Indian And Us Populations Using Longitudinal Study Design, Shraddha S. Vyas

Theses and Dissertations

Background: There is growing evidence of association between diabetes and cancer. No studies have been conducted in India evaluating this association. With the current epidemiologic, nutritional and economic transition in India, it becomes extremely important to examine this association in an Indian population. Additionally, difference in association exists based on different cancer subtypes. Research has shown that diabetes is associated with an increased risk of colorectal cancer. However most of these studies suggest detection bias to be one of the probable reasons for this association. Additionally, the common risk factors shared by both these conditions are considered to one of …