Background: Although cancer incidence and mortality is declining, cancer remains among the leading causes of death in the United States. Research shows that cancer morbidity and mortality can be reduced by early detection. Yet, both cancer risks and screening behavior remain understudied in the homeless population.
Methods: Researchers conducted a cross-sectional survey of homeless individuals (n = 201). The analysis describes the demographic, psychosocial, and behavioral associations with cancer screenings and knowledge of the lung cancer screening recommendation.
Results: Participants' mean age was 51.7 years (SD 13.6); the group was largely African American (77.3%) and male (67.9%). Among women, the breast and cervical cancer screening rates were 46.5% and 85.1%. Among men the prostate cancer screening rate was 34.2%. Among all participants, the colon cancer screening rate was 44%. Cancer risk behaviors were high. Lung cancer screening knowledge was low (23.0%). Some cancer screening behaviors were associated with age, income, health status, obesity, tobacco use, and physical activity.
Discussion: Despite higher cancer risk behaviors, knowledge and general participation rates for cancer screenings were below national benchmarks.
Conclusion: To improve cancer survival among disparate populations, sustained community outreach is necessary to increase awareness of screening recommendations, identify high-risk individuals, and navigate them to resources.
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http://dx.doi.org/10.1111/phn.12391 | DOI Listing |
Int J Surg
January 2025
Carcinoma Department of Traditional Chinese Medicine, Dianjiang People's Hospital of Chongqing, Chongqing, PR China.
The widespread adoption of high-resolution computed tomography (CT) screening has led to increased detection of small pulmonary nodules, necessitating accurate localization techniques for surgical resection. This review examines the evolution, efficacy, and safety of various localization methods for small pulmonary nodules. Studies focusing on localization techniques for pulmonary nodules ≤30 mm in diameter were included, with emphasis on technical success rates and complication profiles.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Epidemiology and Biostatistics, University of California, San Francisco.
Importance: Incidence of distant stage prostate cancer is increasing in the United States. Research is needed to understand trends by social and geographic factors.
Objective: To examine trends in prostate cancer incidence and mortality rates in California by stage, age, race and ethnicity, and region.
Cancer Epidemiol Biomarkers Prev
January 2025
Peking University Cancer Hospital, Beijing, China.
Background: Esophageal squamous cell carcinoma (ESCC) exhibits a long latency period and has a significant geographical disparity in incidence, which underscores the need for models predicting the long-term absolute risk adaptable to regional disease burden.
Methods: 31,883 participants in a large-scale population-based screening trial (Hua County, China) were enrolled to develop the model. Severe dysplasia and above (SDA) identified at screening or follow-up were defined as the outcome.
Curr Opin Oncol
January 2025
DIOPP, Gustave Roussy Cancer Campus, Villejuif, France.
Purpose Of Review: Monitoring the side effects of treatments in cancer patients is a key challenge in clinical practice, especially with the development of oral therapies.The impact on patients is multifaceted: morbidity or even life-threatening risks in the case of severe side effects; deterioration in quality of life and functional abilities; lower adherence to treatments; reduced dose intensity, which can affect the efficacy of therapies.
Recent Findings: The availability of digital tools for remote patient monitoring is transforming our ability to track these patients effectively.
J Intern Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Harvard Institutes of Medicine (HIM), Boston, Massachusetts, USA.
Background: Steatotic liver disease (SLD) is a potentially reversible condition but often goes unnoticed with the risk for end-stage liver disease.
Purpose: To opportunistically estimate SLD on lung screening chest computed tomography (CT) and investigate its prognostic value in heavy smokers participating in the National Lung Screening Trial (NLST).
Material And Methods: We used a deep learning model to segment the liver on non-contrast-enhanced chest CT scans of 19,774 NLST participants (age 61.
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