Epidemiology provides an avenue for deciphering disease pathogenesis. By determining incidence across socioeconomic and demographic variables in the context of benign cerebral meningiomas (BCM), epidemiologic data may aid in elucidating and addressing healthcare inequalities. To investigate BCM incidence (per 100,000) with respect to sex, age, income, residence, and race/ethnicity, we queried the largest United States (US) administrative dataset (1997-2016), the National (Nationwide) Inpatient Sample (NIS), which surveys 20% of US discharges. Annual national BCM incidence was 5.01. Females had an incidence of 6.78, higher (p = 0.0000038) than males at 3.14. Amongst age groups incidence varied (p = 1.65 × 10) and was highest amongst those 65-84 (16.71) and 85+ (18.32). Individuals with middle/high income had an incidence of 5.27, higher (p = 0.024) than the 4.91 of low income patients. Depending on whether patients lived in urban, suburban, or rural communities, incidence varied (χ = 8.22, p = 0.016) as follows, respectively: 5.23; 4.96; 5.51. Amongst race/ethnicity (p = 8.15 × 10), incidence for Whites, Blacks, Asian/Pacific Islanders, Hispanics, and Native Americans were as follows, respectively: 5.05; 4.59; 4.22; 2.99; 0.55. In the US, BCM annual incidence exhibited disparities amongst socioeconomic and demographic subsets. Disproportionately, incidence was greatest for patients who were White, Black, female, 65 and older, and middle/high income.
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http://dx.doi.org/10.1016/j.jocn.2021.01.023 | DOI Listing |
JACC Adv
January 2025
Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA. Electronic address:
Background: HIV induced endothelial dysfunction (ED) contributes to cardiovascular disease (CVD) in women with HIV (WWH). Although psychosocial stress has been implicated in the development of CVD in HIV, its impact on ED in WWH remains unknown.
Objectives: The authors hypothesized that posttraumatic stress disorder (PTSD) and HIV interact to contribute to ED in WWH.
Ann Intern Med
January 2025
Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, and Department of Hematology, Karolinska University Hospital, Stockholm, Sweden.
J Med Internet Res
January 2025
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Current literature is unclear on the safety and optimal timing of delivery for pregnant individuals with gestational diabetes mellitus, which inspired our study team to conduct a web-based survey study exploring patient and provider opinions on delivery options. However, an incident of fraudulent activity with survey responses prompted a shift in the focus of the research project. Unfortunately, despite the significant rise of web-based surveys used in medical research, there remains very limited evidence on the implications of and optimal methods to handle fraudulent web-based survey responses.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
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