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Mediation analysis allows the examination of effects of a third variable in the pathway between an exposure and an outcome. The general multiple mediation analysis method, proposed by Yu et al, improves traditional methods (eg, estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. In this paper, we extend the method for time-to-event outcomes and apply the method to explore the racial disparity in breast cancer survivals. Breast cancer is the most common cancer and the second leading cause of cancer death among women of all races. Despite improvement of survival rates of breast cancer in the US, a significant difference between white and black women remains. Previous studies have found that more advanced and aggressive tumors and less than optimal treatment may explain the lower survival rates for black women as compared to white women. Due to limitations of current analytic methods and the lack of comprehensive data sets, researchers have not been able to differentiate the relative effect each factor contributes to the overall racial disparity. We use the CDC-funded Patterns of Care study to examine the determinants of racial disparities in breast cancer survival using a novel multiple mediation analysis. Using the proposed method, we applied the Cox hazard model and multiple additive regression trees as predictive models and found that all racial disparity in survival among Louisiana breast cancer patients were explained by factors included in the study. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the incidence and prevalence of autoimmune encephalitis and compare it to that of infectious encephalitis.Methods: We performed a population-based comparative study of the incidence and prevalence of autoimmune and infectious encephalitis in Olmsted County, Minnesota. Autoimmune encephalitis diagnosis and subgroups were defined by 2016 diagnostic criteria, and infectious encephalitis diagnosis required a confirmed infectious pathogen. Age- and sex-adjusted prevalence and incidence rates were calculated. Patients with encephalitis of uncertain etiology were excluded.Results: The prevalence of autoimmune encephalitis on January 1, 2014 of 13.7/100,000 was not significantly different from that of all infectious encephalitides (11.6/100,000; p = 0.63) or the viral subcategory (8.3/100,000; p = 0.17). The incidence rates (1995-2015) of autoimmune and infectious encephalitis were 0.8/100,000 and 1.0/100,000 person-years, respectively (p = 0.58). The number of relapses or recurrent hospitalizations was higher for autoimmune than infectious encephalitis (p = 0.03). The incidence of autoimmune encephalitis increased over time from 0.4/100,000 person-years (1995-2005) to 1.2/100,000 person-years (2006-2015; p = 0.02), attributable to increased detection of autoantibody-positive cases. The incidence (2.8 vs 0.7/100,000 person-years, p = 0.01) and prevalence (38.3 vs 13.7/100,000, p = 0.04) of autoimmune encephalitis was higher among African Americans than Caucasians. The prevalence of specific neural autoantibodies was as follows: myelin oligodendrocyte glycoprotein, 1.9/100,000; glutamic acid decarboxylase 65, 1.9/100,000; unclassified neural autoantibody, 1.4/100,000; leucine-rich glioma-inactivated protein 1, 0.7/100,000; collapsin response-mediator protein 5, 0.7/100,000; N-methyl-D-aspartate receptor, 0.6/100,000; antineuronal nuclear antibody type 2, 0.6/100,000; and glial fibrillary acidic protein α, 0.6/100,000.Interpretation: This study shows that the prevalence and incidence of autoimmune encephalitis are comparable to infectious encephalitis, and its detection is increasing over time. Ann Neurol 2018;83:166-177. [ABSTRACT FROM AUTHOR]

Background: Few studies comment on the association between fibroids and symptoms among pregnant women. These studies generally are retrospective and do not to assess the influence of number of tumours or their volume on risk of symptoms.Methods: Right from the Start is a prospective cohort that enrolled pregnant women from the southeastern USA between 2000 and 2012. In the first trimester, all participants had standardised ultrasounds to determine the presence or absence of fibroids. Symptoms were queried in a telephone survey. We used polytomous logistic regression to model odds of bleeding, pain, or both symptoms in relation to increasing total fibroid number and volume among white and black women.Results: Among 4509 participants, the prevalence of fibroids was 11%. Among those reporting symptoms (70%), 11% reported only bleeding, 59% reported only pain, and 30% reported both symptoms. After adjusting for age, race, parity, hypertension, smoking, alcohol use, and study site, increasing number of fibroids was associated with pain [odds ratio (OR) 1.16, 95% confidence interval (CI) 1.00, 1.33] and both symptoms [OR 1.25, 95% CI 1.08, 1.45] but not with bleeding among all women. Fibroid volume was not associated with symptoms among black women, but white women with the smallest fibroid volumes were more likely to report both symptoms than those without fibroids [OR 1.79, 95% CI 1.17, 2.72].Conclusions: Very large tumours are not requisite for experiencing symptoms, as small fibroids and increasing number of tumours are associated with pain and both symptoms. [ABSTRACT FROM AUTHOR]