Disasters can hinder access to health information among cancer patients. However, little is known regarding overall health information exposure (HIE), its barriers and its impacts on attitudes toward healthcare among cancer patients in the long-term aftermath of disasters. The aims of this study were threefold: assess the extent of HIE; identify associations between family composition and a non-engagement with HIE; and examine the effects of HIE on attitudes toward healthcare among local cancer patients-5 years after the 2011 triple disaster (earthquake, tsunami, and nuclear disaster) in Fukushima, Japan. We conducted self-administered surveys with all cancer and non-cancer surgery department outpatients at Minamisoma Municipal General Hospital (MMGH), Minamisoma City, from October 2016 to January 2017. In total, 404 patients (263 cancer patients and 141 non-cancer patients) voluntarily participated in the study. The results revealed that a regular level of HIE occurred among 90.5% of the cancer patients. In cancer patients, family composition was not significantly associated with HIE, and HIE was not associated with attitude toward healthcare. In conclusion, most cancer patients visiting the MMGH surgical department were regularly engaged in HIE.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/1460458221996420 | DOI Listing |
Neuro Oncol
January 2025
Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Background: Central nervous system (CNS) tumors lead to cancer-related mortality in children. Genetic ancestry-associated cancer prevalence and outcomes have been studied, but is limited.
Methods: We performed genetic ancestry prediction in 1,452 pediatric patients with paired normal and tumor whole genome sequencing from the Open Pediatric Cancer (OpenPedCan) project to evaluate the influence of reported race and ethnicity and ancestry-based genetic superpopulations on tumor histology, molecular subtype, survival, and treatment.
Pain
January 2025
Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States.
Rapid declines in opioid analgesics dispensed in American communities since 2011 raise concerns about inadequate access to effective pain management among patients for whom opioid therapies are appropriate, especially for those living in racial/ethnic minority and socioeconomically deprived communities. Using 2011 to 2021 national data from the Automated Reports and Consolidated Ordering System and generalized linear models, this study examined quarterly per capita distribution of oxycodone, hydrocodone, and morphine (in oral morphine milligram equivalents [MMEs]) by communities' racial/ethnic and socioeconomic profiles. Communities (defined by 3-digit-zip codes areas) were classified as "majority White" (≥50% self-reported non-Hispanic White population) vs "majority non-White.
View Article and Find Full Text PDFJ Clin Invest
January 2025
Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
Background: B7-H3 or CD276 is notably overexpressed in various malignant tumor cells in humans, with extremely high expression rates. The development of a radiotracer that targets B7-H3 may provide a universal tumor-specific imaging agent and allow the noninvasive assessment of the whole-body distribution of B7-H3-expressing lesions.
Methods: We enhanced and optimized the structure of an affibody (ABY) that targets B7-H3 to create the radiolabeled radiotracer [68Ga]Ga-B7H3-BCH, and then, we conducted both foundational experiments and clinical translational studies.
J Med Internet Res
January 2025
Macquarie University, Australian Institute of Health Innovations, Sydney, Australia.
RR2-10.2196/25056.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, PR China.
Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.
Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!