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Full-Text Articles in Public Health
Meta-Analysis: Racial Disparities In Prostate Cancer Survival And Case-Control Study: Association Between Family History Of Cancers, Obesity And Prostate Cancer, Gayathri Sridhar
Meta-Analysis: Racial Disparities In Prostate Cancer Survival And Case-Control Study: Association Between Family History Of Cancers, Obesity And Prostate Cancer, Gayathri Sridhar
Theses and Dissertations
This is a compilation of 3 abstracts for the three manuscripts included in this dissertation. I. Meta-Analysis: Racial Disparities in Prostate Cancer Survival: Prostate cancer is the second leading cause of cancer-related mortality in men. Previous studies have drawn inconsistent conclusions on racial differences in prostate cancer survival. This meta-analysis was conducted to investigate the relationship between race and survival from prostate cancer. A systematic review of published articles from 1968 to 2007 assessing survival from prostate cancer among African American and White men was conducted. The search yielded 20 eligible published manuscripts. Analysis of unadjusted studies showed African American …
Life Expectancy And Years Of Life Lost In Chronic Obstructive Pulmonary Disease: Findings From The Nhanes Iii Follow-Up Study, Robert M. Shavelle, David R. Paculdo, Scott J. Kush, David M. Mannino, David J. Strauss
Life Expectancy And Years Of Life Lost In Chronic Obstructive Pulmonary Disease: Findings From The Nhanes Iii Follow-Up Study, Robert M. Shavelle, David R. Paculdo, Scott J. Kush, David M. Mannino, David J. Strauss
David M. Mannino
Rationale
Previous studies have demonstrated that chronic obstructive pulmonary disease (COPD) causes increased mortality in the general population. But life expectancy and the years of life lost have not been reported.
Objectives
To quantify mortality, examine how it varies with age, sex, and other risk factors, and determine how life expectancy is affected.
Methods
We constructed mortality models using the Third National Health and Nutrition Examination Survey, adjusting for age, sex, race, and major medical conditions. We used these to compute life expectancy and the years of life lost.
Measurements and main results
Pulmonary function testing classified patients as having …