A total of 262 women in the USA (161 breast cancer survivors and 101 controls) were exposed to a video vignette using modeling in which a physician discussed the concept of a clinical trial (CT) with a woman who was in the process of making a treatment decision. A pretest-post-test design was used and improvements in clinical trial knowledge and beliefs were assessed. Results indicate that video modeling is a powerful tool for increasing CT knowledge (pretest mean=41.5% correct, post-test mean=77.5% correct) but not for improving CT beliefs. Increased clinical trial knowledge, as measured by change scores, was associated with white race, lower levels of education and pretest breast cancer knowledge, more negative pretest CT beliefs, and a higher estimate of the lifetime probability that a woman will have breast cancer. When pretest CT knowledge was added to the analysis using hierarchical multiple regression, all variables except white race became nonsignificant; an increase in CT knowledge was associated with having lower pretest CT knowledge. Results indicate that the effects of low education, low breast cancer knowledge, and biased probability assessment were mediated through the pretest score. An increase in post-test positive CT beliefs was associated with older age, thinking about breast cancer less often, and having lower pretest CT knowledge in the total sample. When pretest CT beliefs was added to the analysis using hierarchical multiple regression, all other variables became nonsignificant; an increase in CT beliefs was associated with having lower pretest CT beliefs, again indicating mediation of the effects of other variables.
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http://dx.doi.org/10.1016/s0277-9536(03)00162-x | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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