{"title":"非白种人妇科癌症的病因生存分析:基于 SEER 的研究。","authors":"Subhadra Priyadarshini, Prafulla Kumar Swain, Sourav Padhee, Khushi Agarwal","doi":"10.1093/aje/kwae161","DOIUrl":null,"url":null,"abstract":"<p><p>Gynecological cancers are the most prevalent cancers in women, making them a major public health concern for decades. Health disparities and inequalities in access to care among different racial groups have been a major concern in the US healthcare system. This study was aimed at investigating cause-specific survival rates among non-White women with gynecological cancer and to identify risk factors associated with gynecological cancer mortality by race. The Kaplan-Meier method was used to calculate 5-year survival estimates and various risk factors for gynecological cancer among non-White women were analyzed using Cox proportional hazard model. The findings of this study highlight the need for targeted interventions to improve access to care and reduce health disparities for non-White women with gynecological cancer. This article is part of a Special Collection on Gynecological Cancer.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":"95-102"},"PeriodicalIF":5.0000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cause-specific survival analysis of gynecological cancers among a non-White population: a SEER-based study.\",\"authors\":\"Subhadra Priyadarshini, Prafulla Kumar Swain, Sourav Padhee, Khushi Agarwal\",\"doi\":\"10.1093/aje/kwae161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Gynecological cancers are the most prevalent cancers in women, making them a major public health concern for decades. Health disparities and inequalities in access to care among different racial groups have been a major concern in the US healthcare system. This study was aimed at investigating cause-specific survival rates among non-White women with gynecological cancer and to identify risk factors associated with gynecological cancer mortality by race. The Kaplan-Meier method was used to calculate 5-year survival estimates and various risk factors for gynecological cancer among non-White women were analyzed using Cox proportional hazard model. The findings of this study highlight the need for targeted interventions to improve access to care and reduce health disparities for non-White women with gynecological cancer. This article is part of a Special Collection on Gynecological Cancer.</p>\",\"PeriodicalId\":7472,\"journal\":{\"name\":\"American journal of epidemiology\",\"volume\":\" \",\"pages\":\"95-102\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/aje/kwae161\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/aje/kwae161","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Cause-specific survival analysis of gynecological cancers among a non-White population: a SEER-based study.
Gynecological cancers are the most prevalent cancers in women, making them a major public health concern for decades. Health disparities and inequalities in access to care among different racial groups have been a major concern in the US healthcare system. This study was aimed at investigating cause-specific survival rates among non-White women with gynecological cancer and to identify risk factors associated with gynecological cancer mortality by race. The Kaplan-Meier method was used to calculate 5-year survival estimates and various risk factors for gynecological cancer among non-White women were analyzed using Cox proportional hazard model. The findings of this study highlight the need for targeted interventions to improve access to care and reduce health disparities for non-White women with gynecological cancer. This article is part of a Special Collection on Gynecological Cancer.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.