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Introduction The main purpose of this work is to study the malignant neoplasms of the breast and the incidence of strokes in the United States and to find not only statistically significant predictors for cancer, but also a possible association between breast cancer and stroke. Material and methods The statistical methods used to derive the results of this work are χ 2 and one-way analysis of variance (ANOVA) tests, in order to check the statistical significance of breast cancer in relation to socio-economic factors of patients. In addition, a multivariate logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors for breast cancer. The Pearson correlation coefficient was used to find the relationship between breast cancer and stroke. Results According to multiple logistic regression analysis, widowed women have 11 times higher risk developing breast cancer, while white women who are unemployed but have worked previously have two times higher risk for the occurrence of this type of cancer. In addition, a statistically significant relationship was found between the number of cases of breast cancer and stroke. Conclusions Our results describe for the first time the importance of deprivation (of work and partner) as a primary prognostic risk factor for cancer. Moreover, we found a link between breast cancer diagnosis and stroke.

Introduction The primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk. Material and methods The statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease. Results According to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48–1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01–51.6) from Hubei (OR = 7.73; 95% CI: 5.71–10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47–3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68–2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition “cardiovascular disease” (OR = 13.6; 95% CI: 10.3–17.9). Conclusions The results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019.

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Introduction The main purpose of this work is to study prostate cancer and stroke in the United States during the years 2007–2017 and to find not only statistically significant predictors for cancer, but also a possible association between prostate cancer and stroke. Material and methods The statistical methods used to derive the results of this work are χ 2 test and one-way analysis of variance (ANOVA), in order to check the statistical significance of prostate cancer in relation to socio-economic factors of patients. In addition, a multivariate logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors for both prostate cancer and stroke. Results According to multiple logistic regression analysis, males who are unemployed but have worked previously have 16 times higher risk of developing prostate cancer, while widowed men have five times higher risk for the occurrence of this type of cancer. In addition, marital status and employment proved to be also prognostic risk factors for stroke. Conclusions Our results describe for the first time the importance of deprivation (of work and partner) as a primary prognostic risk factor for cancer. Moreover, the same factor proved to be the primary prognostic risk factor for stroke as well as for prostate cancer, a fact that implies a possible link between cancer and stroke.