Breast cancer screening, incidence, and mortality in West Virginia.

W V Med J

Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, WV, USA.

Published: October 2009

Situated entirely in the Appalachian region, West Virginia (WV) as a state is characterized by a diverse population, with a major portion of the population residing in rural areas. Breast cancer is the most commonly diagnosed cancer among women residents of the state. Using different data sources, we have reported the most recent screening, incidence, and mortality information associated with breast cancer in WV. In 2006, roughly one-fourth of women > or =40 years of age had not had a mammogram in the past two years. Sociodemographic factors were found to be associated with lack of mammography screening among these women. The leveling off of the increase in the in-situ breast cancer incidence rates in WV since 1999 is closely associated with the bottoming out of the proportion of women without mammography that has been seen since early this decade. Counties in southern and northern part of the state generally have higher invasive breast cancer incidence rates than those in the central part. Breast cancer-related mortality is higher among southern counties in comparison to counties in northern and central part of the state, with mortality rates higher than the national average in McDowell, Mingo, Wayne, and Mason Counties. There is a compelling need to increase access to mammography screening among women residents in the state.

Download full-text PDF

Source

Publication Analysis

Top Keywords

breast cancer
20
screening incidence
8
incidence mortality
8
west virginia
8
women residents
8
residents state
8
mammography screening
8
screening women
8
cancer incidence
8
incidence rates
8

Similar Publications

No evidence that breast cancer occurs at higher rates among young Arab women.

East Mediterr Health J

December 2024

Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.

Background: Breast cancer is often thought to occur at a younger age among Arab women based on the mean or median age at diagnosis, or the proportion of women diagnosed with breast cancer at a young age.

Objective: To compare age-specific breast cancer incidence rates among women from selected Arab countries with selected high- and middle-income countries.

Methods: We examined population-based, age-specific, national or regional breast cancer incidence data for 2008-2012 and 2013-2017 from Australia, Brazil, Canada, Germany, Japan, United Kingdom, and United States of America, and compared them with data from Algeria, Bahrain, Jordan, Kuwait, Morocco, Qatar, and Saudi Arabia.

View Article and Find Full Text PDF

In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.

View Article and Find Full Text PDF

Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.

Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.

View Article and Find Full Text PDF

Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!