Background: Primary cardiac sarcomas (PCS) are extremely rare malignant tumors involving the heart. Only isolated case reports have been described in the literature over different periods of time. This pathology has been associated with a dismal prognosis and given its rarity; treatment options are very limited. Furthermore, there are contrasting data about the effectiveness of current treatment modalities in improving the survival of patients with PCS, including surgical resection which is the mainstay of therapy. There is a paucity of data on the epidemiological characteristics of PCS. This study has the objective of investigating the epidemiologic characteristics, survival outcomes, and independent prognostic factors of PCS. Methods: A total of 362 patients were ultimately registered in our study from the Surveillance, Epidemiology, and End Results (SEER) database. The study period was from 2000 to 2017. Demographics such as clinical characteristics, overall mortality (OM), and PCS-specific mortality (CSM) were taken into account. A p value of <0.1 in the univariate analysis leads to the incorporation of the variable into multivariate analysis adjusting for covariates. Adverse prognostic factors were represented by a Hazard Ratio (HR) greater than one. The five-year survival analysis was carried out using the Kaplan–Meier method and the log-rank test was used to compare survival curves. Results: Crude analysis revealed a high OM in age 80+ (HR = 5.958, 95% CI 3.357–10.575, p < 0.001), followed by age 60–79 (HR = 1.429, 95% CI 1.028–1.986, p = 0.033); and PCS with distant metastases (HR = 1.888, 95% CI 1.389–2.566, p < 0.001). Patients that underwent surgical resection of the primary tumor and patients with malignant fibrous histiocytomas (HR = 0.657, 95% CI 0.455–0.95, p = 0.025) had a better OM (HR = 0.606, 95% CI 0.465–0.791, p < 0.001). The highest cancer-specific mortality was observed in age 80+ (HR = 5.037, 95% CI 2.606–9.736, p < 0.001) and patients with distant metastases (HR = 1.953, 95% CI 1.396–2.733, p < 0.001). Patients with malignant fibrous histiocytomas (HR = 0.572, 95% CI 0.378–0.865, p = 0.008) and those who underwent surgery (HR = 0.581, 95% CI 0.436–0.774, p < 0.001) had a lower CSM. Patients in the age range 80+ (HR = 13.261, 95% CI 5.839–30.119, p < 0.001) and advanced disease with distant metastases (HR = 2.013, 95% CI 1.355–2.99, p = 0.001) were found to have a higher OM in the multivariate analyses adjusting for covariates). Lower OM was found in patients with rhabdomyosarcoma (HR = 0.364, 95% CI 0.154–0.86, p = 0.021) and widowed patients (HR = 0.506, 95% CI 0.263–0.977, p = 0.042). Multivariate cox proportional hazard regression analyses of CSM also revealed higher mortality of the same groups, and lower mortality in patients with Rhabdomyosarcoma. Conclusion: In this United States population-based retrospective cohort study using the SEER database, we found that cardiac rhabdomyosarcoma was associated with the lowest CSM and OM. Furthermore, as expected, age and advanced disease at diagnosis were independent factors predicting poor prognosis. Surgical resection of the primary tumor showed lower CSM and OM in the crude analysis but when adjusted for covariates in the multivariate analysis, it did not significantly impact the overall mortality or the cancer-specific mortality. These findings allow for treating clinicians to recognize patients that should be referred to palliative/hospice care at the time of diagnosis and avoid any surgical interventions as they did not show any differences in mortality. Surgical resection, adjuvant chemotherapy, and/or radiation in patients with poor prognoses should be reserved as palliative measures rather than an attempt to cure the disease.

Purpose: Although surgical resection is the main modality of treatment for breast cancer, some patients elect to refuse the recommended surgery. We assessed racial and ethnic differences in women 40 years and older who received or refused to receive surgical treatment for breast cancer in the USA and whether racial disparities in mortality were affected by their differences in the prevalence of refusal for surgical treatment. Methods: We studied 277,127 women with breast cancer using the Surveillance, Epidemiology, and End Results (SEER) data and performed multivariable logistic regressions to investigate the association between surgery status of breast cancer and race/ethnicity. Additionally, we performed Cox regression analyses to determine the predictors of mortality outcomes. Results: Of 277,127 patients with breast cancer, 1468 (0.53%) refused to receive the recommended surgical treatment in our cohort. Non-Hispanic Black women were 112% more likely to refuse the recommended surgical treatment for breast cancer compared to their non-Hispanic White counterparts [adjusted odds ratio: 2.12, 95% confidence interval (CI) 1.82–2.47]. Women who underwent breast-conserving surgery [hazards ratio (HR) 0.15, 95% CI 0.13–0.16] and mastectomy (HR 0.21, 95% CI 0.18–0.23) had lower hazard ratios of mortality as compared to women who refused the recommended treatment after adjusting for covariates. Conclusion: Race/ethnicity was associated with refusal for the recommended surgery, especially among non-Hispanic Black women. Also, surgery refusal was associated with a higher risk of all-cause and breast cancer-related mortality. These disparities stress the need to tailor interventions aimed at raising awareness of the importance of following physician recommendations among minorities.

Background: Mobile digital wellness and health apps play a significant role in optimizing health and aiding in cancer management and decision-making. Objective: This study aims to identify the factors influencing the use of mobile health and wellness apps among cancer information seekers in the United States. Methods: We conducted a cross-sectional study using data from the Health Information National Trends Survey. Our analysis focused on 4770 participants who sought cancer information. We performed weighted univariate and multivariable logistic regression to determine the association between the use of health and wellness apps and socioeconomic factors, medical history and conditions, and lifestyle and behavioral factors. Results: A total of 4770 participants who sought cancer information were included in the final analysis. Of these, 80.9% (n=2705) were health and wellness app users, while 19.1% (n=793) were nonusers. In the final adjusted model, participants with household incomes ≥US $50,000 had 49% higher adjusted odds of using these apps than those with incomes <US $50,000 (adjusted odds ratio [aOR]=1.49, 95% CI 1.02-2.14). College graduates and those with higher educational levels were avid users compared to those with a high school diploma or less (aOR=1.87, 95% CI 1.30-2.67). Internet users had over 3 times the odds of using these apps compared to nonusers (aOR=3.28, 95% CI 1.70-6.33). Participants within the age group 18-34 years were 3.70 times more likely (aOR=3.70, 95% CI 1.90-7.23) to use a health and wellness app compared to participants within the age group of 75 years and older. Conclusions: Age, education, household income, and use of the internet are the major determinants of the adoption of digital health and wellness apps among seekers of cancer information. Hence, public health programs could be directed toward addressing these factors to improve cancer diagnosis, treatment, and management using these apps.