[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-330931-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-330931-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","unraveling-the-influence-of-social-economic-and-demographic-factors-in-texas-on-breast-cancer","Unraveling the Influence of Social, Economic, and Demographic Factors in Texas on Breast Cancer","","Research investigates why breast cancer survival differs among patients in Texas by analyzing a 16-year cohort survival dataset and applying log-rank, survival-time regression, and Cox proportional hazards models. The study evaluates patient and disease characteristics, identifying stage, grade, primary cancer site, number of cancers, histology, age, race, and income as key determinants of survival time. Results highlight disparities by race and suggest actionable policy priorities for earlier screening and improved support for older and low-income patients.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/unraveling-the-influence-of-social-economic-and-demographic-factors-in-texas-on-breast-cancer/330931/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/unraveling-the-influence-of-social-economic-and-demographic-factors-in-texas-on-breast-cancer/330931.png","ImageObject",300,407,{"name":42,"@type":43},"Aria","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",5,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What data and study period are used to analyze breast cancer survival in Texas?","Question",{"text":63,"@type":64},"The study uses a 16-year cohort of breast cancer survival data in Texas. Patients diagnosed in 2004 and 2005 are followed up to 2020.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which statistical methods are applied in the survival analysis?",{"text":68,"@type":64},"Analyses include the log-rank test, survival time regression, and Cox proportional hazards regression.",{"name":70,"@type":61,"acceptedAnswer":71},"What factors are identified as main determinants of survival time?",{"text":72,"@type":64},"Stage, grade, primary cancer site, number of cancers, histology, age, race, and income are reported among the main variables influencing survival time.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},330931,1790810983,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":55,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","University of Texas Rio Grande Valley  \nUniversity of Texas Rio Grande Valley  \nISU, University of Texas Rio Grande Valley  \nISU, University of Texas Rio Grande Valley  \nBreast Cancer, Survival Analysis, Cox Proportional Hazard, Racial Equity  June 25th, 2024  \n [https://doi.org/10.21203/rs.3.rs-4535192/v1](https://doi.org/10.21203/rs.3.rs-4535192/v1)  \n 􀁱 􀅏 This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License  No competing interests reported.  \nAccording to the Centers for Disease Control (CDC), breast cancer is the second most common cancer among women in the United States. Affected people are ¦nancially challenged due to the high out-of-pocket cost of breast cancer treatment, as it is the most expensive treatment. Using a 16-year cohort study of breast cancer survival data in Texas, we investigate the factors that might explain why some breast cancer patients live longer than others.  \nPerforming a survival analysis consisting of the log-rank test, a survival time regression, and Cox proportional hazards regression, we explore the breast cancer survivors’ speci¦c attributes to identify the main determinants of survival time.  \nAnalyses show that the factors: stage, grade, primary site of the cancer, number of cancers each patient has, histology of the cancer, age, race, and income are among the main variables that enlighten why some breast cancer survivors live much longer than others. For instance, compared to White non-Hispanics, Black non-Hispanics have a shorter length of survival with a hazard ratio of (1 .282) . The best prognostic for White non-Hispanics, Hispanics (all races), and Black non-Hispanics is a woman aged between 40 to 49 years old, diagnosed with localized stage and grade one with Axillary tail of breast as a primary site with only one cancer and with a household income of 75,000 .00 and over.  \nPolicymakers should promote early diagnosis and screening and better assist the older and the poor to improve the survival time for breast cancer patients.  \nAccording to the American Cancer Society (ACS) 2024 statistics and Centers for Disease Control and Prevention (CDC), breast cancer is the second most common cancer after skin cancer among women in the United States across all races and ethnicities. In fact, in 2024, 313,510 women will be diagnosed with breast cancer, and 42,780 women in the United States are expected to die from breast cancer[1, 2] . In the United States of America, one in every eight women will be diagnosed with invasive breast cancer during her lifetime, according to the National Cancer Institute. Breast cancer national expenditures in the USA were estimated at $29.8 billion in 2020 [3] . Furthermore,[4], who compared the treatment costs for breast cancer by tumor stage using a sample size of 8,360 women, found that the average costs per patient allowed by the insurance company in the year after diagnosis were $60,637 for stage 0, $82,121 for stage I and II, $129,387 for stage III and $134,682 for stage IV. Therefore, Breast cancer is a burden to taxpayers; it is a public health issue, and breast cancer mortality is associated with huge productivity loss.  \nIn this study, we focus on the state of Texas. Breast cancer is the most diagnosed cancer in Texas women and the second leading cause of cancer death in Texan women[5] . In 2022, DSHS estimated that 19,921 women were diagnosed with breast cancer in Texas, with a death toll of 3,415 women.  \nCancer is a disease in which cells in the body grow out of control. When cancer starts in the breast, it is called breast cancer. It can spread outside the breast through blood vessels and lymph vessels. When breast cancer spreads to other  \nparts of the body, it is said to have metastasized. The most common kinds of breast cancer are invasive ductal carcinoma and Invasive lobular carcinoma (CDC) . The seed and soil theory in metastasis, proposed by Stephen Paget in 1889, likens the spread of cancer ","cbCaicMTN3kceH2I","https://ap.wps.com/l/cbCaicMTN3kceH2I","pdf",3516074,31,"English","# Research Focus\n## Data Source and Cohort Design\n## Survival Analysis Methods\n# Key Determinants and Findings\n## Demographic and Clinical Variables\n## Race-Related Survival Differences\n# Policy Implications and Recommendations\n## Screening and Support Strategies","[{\"question\":\"What data and study period are used to analyze breast cancer survival in Texas?\",\"answer\":\"The study uses a 16-year cohort of breast cancer survival data in Texas. Patients diagnosed in 2004 and 2005 are followed up to 2020.\"},{\"question\":\"Which statistical methods are applied in the survival analysis?\",\"answer\":\"Analyses include the log-rank test, survival time regression, and Cox proportional hazards regression.\"},{\"question\":\"What factors are identified as main determinants of survival time?\",\"answer\":\"Stage, grade, primary cancer site, number of cancers, histology, age, race, and income are reported among the main variables influencing survival time.\"}]","Unraveling the Influence of Social, Economic, and Demographic Factors in Texas on Breast Cancer | PDF",1789990771,78]