scholarly journals P3.324 A Population-Based Assessment of Racial/Ethnic Disparities in Gonorrhoea Rates

2013 ◽  
Vol 89 (Suppl 1) ◽  
pp. A250.2-A250
Author(s):  
Y Ransome ◽  
D Nash
2018 ◽  
Vol 29 (10) ◽  
pp. 927-936 ◽  
Author(s):  
Madina Agénor ◽  
Sarah Abboud ◽  
Jazmine Garcia Delgadillo ◽  
Ashley E. Pérez ◽  
Sarah M. Peitzmeier ◽  
...  

2018 ◽  
Vol 110 (11) ◽  
pp. 1259-1269 ◽  
Author(s):  
Christopher Pham ◽  
Tse-Ling Fong ◽  
Juanjuan Zhang ◽  
Lihua Liu

AbstractBackgroundHepatocellular carcinoma (HCC) is characterized by disparate risk patterns by race/ethnicity. We examined HCC incidence patterns and temporal trends among detailed racial/ethnic populations, including disaggregated Asian-American subgroups.MethodsUsing data from the population-based California Cancer Registry, we identified 41 929 invasive HCC cases diagnosed during 1988–2012. Patients were grouped into mutually exclusive racial/ethnic groups of non-Hispanic (NH) white, NH black, Hispanic, and NH Asian/Pacific Islander (API), as well as Asian subgroups of Chinese, Filipino, Japanese, Korean, Vietnamese, Cambodian, Laotian, and South Asian. Age-adjusted and age-specific incidence rates by sex, race/ethnicity, and time period were calculated. The average annual percent change (AAPC) in incidence rates was estimated using joinpoint regression. All estimates were provided with the 95% confidence intervals (CIs).ResultsAggregated NH API had higher HCC risk than NH whites, NH blacks, and Hispanics. When disaggregated, Southeast Asians (Vietnamese, Cambodians, and Laotians) had overall HCC incidence rates eight to nine times higher than NH whites and more than twice that of other ethnic Asians. Statistically significant rising temporal trends of HCC were found in NH whites, NH blacks, and Hispanics, especially those older than age 50 years. Overall HCC risk declined in Chinese males (AAPC = –1.3%, 95% CI = –2.0 to –0.6), but rose in Filipino (AAPC = +1.2%, 95% CI = 0.3 to 2.1) and Japanese males (AAPC = +3.0%, 95% CI = 0.4 to 5.6) and Vietnamese (AAPC = +4.5%, 95% CI = 0.7 to 8.5) and Laotian (+3.4%, 95% CI = 0.1 to 6.8) females.ConclusionsOur findings provide valuable information for the identification of at-risk ethnic subgroups of Asian Americans while underscoring the importance of disaggregating ethnic populations in cancer research.


Stroke ◽  
2020 ◽  
Vol 51 (11) ◽  
pp. 3406-3416 ◽  
Author(s):  
Mitchell S.V. Elkind ◽  
Lynda Lisabeth ◽  
Virginia J. Howard ◽  
Dawn Kleindorfer ◽  
George Howard

Disparities are differences in health outcomes among groups that originate from sources including historically experienced social injustice and broadly defined environmental exposures. Large health disparities exist, defined by many factors including race/ethnicity, sex, age, geography, and socioeconomic status. Studying disparities relies on measures of disease burden. Traditional measures, such as mortality, may be less applicable to neurological disorders, which often lead to substantial morbidity and lower quality of life, without necessarily causing death. Measures such as disability-adjusted life-years or healthy life expectancy may be more appropriate for assessing neurological disease and permit comparisons across diseases and communities. There are many approaches that can be used to study disparities. Analyses of population-based observational studies, patient registries, and administrative data all contribute to the understanding of disparities in humans. Animal and other experimental designs, including clinical trials, may be used to identify mechanisms and strategies to reduce disparities. All of these approaches have strengths and weaknesses. Ultimately, understanding and mitigating disparities will require use of all of these methods. Crucially, a focus on not only improving outcomes among all individuals in society but minimizing or eliminating differences between those with better outcomes and those who have historically been disadvantaged should drive the ongoing investigations into disparities. This review is focused on epidemiological approaches to examining the depth and determinants of racial-ethnic disparities in the United States related to stroke, stroke care, and stroke outcomes.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 3-3
Author(s):  
John L Vaughn ◽  
Ana C. Xavier ◽  
Narendranath Epperla

Introduction: Racial and ethnic disparities have been described for patients with aggressive non-Hodgkin lymphomas (NHLs), but few studies have investigated racial disparities in patients with indolent NHLs. Indolent NHLs are a large group of lymphoid neoplasms that include follicular lymphoma (FL), marginal zone lymphoma (MZL), mantle cell lymphoma (MCL), and Waldenstrom macroglobulinemia (WM). Differences in biologic factors (e.g., metabolism of drugs), health disparities (e.g., enrollment in clinical trials), individual factors (e.g., comorbid conditions), and structural barriers (e.g., access to novel therapies) may lead to racial and ethnic disparities in these patients. We aimed to determine whether racial and ethnic disparities exist in the survival of patients with indolent NHLs in the United States. Method: We used the population-based Surveillance, Epidemiology, and End Results (SEER)-18 database. We included adult patients with FL, MZL, MCL, and WM diagnosed between 2000-2017 who were 18-84 years old at the time of diagnosis. We excluded patients with a history of prior malignancies, missing survival times, central nervous system involvement, and unknown race/ethnicity. Race/ethnicity were categorized as Non-Hispanic White (NHW), Non-Hispanic Black (NHB), Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native. Marginal relative survival (RS) was estimated using the Pohar-Perme method, which estimates net survival within a relative survival framework. Expected survival was determined by matching patients to individuals in the general population by age, sex, race/ethnicity, and year. RS was modeled using Poisson regression where the effect of follow-up time was included as restricted cubic spline with 5 knots. The primary exposure variable in our model was race/ethnicity. Interactions between the main effect and significant covariates were examined (in particular disease histology). All tests of differences were performed at a two-sided alpha of 0.05. Results: There were a total of 63,855 patients included in our study. Among these patients, 35,466 had FL, 18,188 had MZL, 7,005 had MCL, and 3,196 had WM. Table 1 shows the baseline characteristics stratified based on the race/ethnicity. The median age for all patients was 63 years (IQR = 54-72 years). The majority of patients were NHW (75%). Median length of follow-up was 5.4 years (IQR = 2.2-9.7 years). As shown in Figure 1, RS (unadjusted) for patients with indolent NHL varied according to race and ethnicity. American Indians/Alaska Natives had the lowest survival at 10 years. Estimated 10-year RS (95% CI) was 78% (77-79%) for NHW, 76% (73-79%) for NHB, 79% (77-81%) for Hispanics, 79% (76-81%) for Asians/Pacific Islanders, and 69% (59-76%) for American Indians/Alaska Natives. On multivariable Poisson regression after adjusting for differences in age, sex, stage, median household income, and disease histology, racial/ethnic minorities had significantly increased hazard for excess mortality (NHB=1.37, Hispanic=1.14, Asians/Pacific Islanders=1.20, American Indians/Alaska Natives=1.75) compared to NHW patients (Table 2). There was no significant interaction between race and disease histology (likelihood ratio test p=0.21). Conclusion: In this large population-based analysis of patients with indolent NHL in the US, we found that racial and ethnic minorities had inferior survival over the past two decades after adjusting for other confounding variables. American Indians and Alaska Natives had the highest mortality followed by NHB, Asians/Pacific Islanders, and Hispanics. One of the plausible explanations for this trend could be related to decreased access to healthcare. Our study emphasizes the need for additional research into racial/ethnic disparities for lymphoma patients. Disclosures Epperla: Verastem Oncology: Speakers Bureau; Pharmacyclics: Honoraria.


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