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INTRODUCTION Healthy lifestyle behaviors are an essential component of prostate cancer survivorship; however, it is unknown whether Black participants are adequately represented in randomized controlled trials (RCTs) on lifestyle interventions. The goal of this study was to identify types of lifestyle RCTs that may require improved recruitment resources to enhance generalizability of lifestyle recommendations to Black patients. MATERIALS AND METHODS ClinicalTrials.gov was used to identify lifestyle RCTs among patients with prostate cancer. Using racial distribution data from the Surveillance, Epidemiology, and End Results (SEER) program as a reference, one-sample proportion tests were performed to assess adequate recruitment of Black participants. RESULTS Of 31 lifestyle trials, one trial reported race-specific results. Proportion of Black participants was acquired from 26 trials. Compared to the US population, Black participants were overrepresented in the overall study population (17% versus 15%, p = 0.019). Black participants were underrepresented in trials exploring exercise interventions (9% versus 15%, p = 0.041), trials among patients with advanced disease (9% versus 16%, p  less then  0.001), and in university-funded trials (12% versus 15%, p = 0.026). CONCLUSIONS The reporting of race data, and race-specific results when feasible, is essential for clinicians to accurately generalize findings from lifestyle trials. Additional resources may be necessary to aid in strategic recruitment of Black participants for trials on exercise interventions, trials among patients with advanced disease, and in university-funded trials.The 2003 IOM report Unequal Treatment documented the inferior health care accorded African Americans and Hispanic Americans. Subsequent research has shown that women, the elderly, LGBTQ individuals, and other specific minority groups also receive disparate care. Unequal treatment is often a product of subconscious mental functions including stereotyping and the neurological interconnection of the brain's emotional response and cognitive systems. Because these functions are hard-wired, they are not easily amenable to efforts to eliminate them from our thinking. But identifying and bringing them to light provides the opportunity to counteract them. The ACP-ABIM Professionalism Charter incorporates ameliorative precepts including altruism, moral reasoning, and conscious commitment to equal care. Medical Professionalism and Humanitarian Health Care in the American Age of "-isms" describes how empathetic or humanitarian care not only improves patient outcomes but provides meaning and satisfaction that enhances the well-being of the caregiver and counteracts physician burnout and dropout.Chemotherapy-induced cardiovascular toxicity (CICT) is a well-established risk for cancer survivors and causes diseases such as heart failure, arrhythmia, vascular dysfunction, and atherosclerosis. As our knowledge of the precise cardiovascular risks of each chemotherapy agent has improved, it has become clear that genomics is one of the most influential predictors of which patients will experience cardiovascular toxicity. Tetrazolium Red ic50 Most recently, GWAS-led, top-down approaches have identified novel genetic variants and their related genes that are statistically related to CICT. Importantly, the advent of human-induced pluripotent stem cell (hiPSC) models provides a system to experimentally test the effect of these genomic findings in vitro, query the underlying mechanisms, and develop novel strategies to mitigate the cardiovascular toxicity liabilities due to these mechanisms. Here we review the cardiovascular toxicities of chemotherapy drugs, discuss how these can be modeled in vitro, and suggest how these models can be used to validate genetic variants that predispose patients to these effects.A major role for visual short-term memory (VSTM) is to mediate perceptual comparisons of visual information across successive glances and brief temporal interruptions. Research that has focused on the comparison process has noted a marked tendency for performance to be better when participants are required to report a difference between the displays rather than report the absence of a difference (i.e. a sameness). We refer to this performance asymmetry as report-difference superiority (RDS). It has been suggested that RDS reflects the operation of a reflexive mechanism that generates a mismatch signal during the comparison of visual input with information maintained in VSTM. This bottom-up mechanism therefore gives evidence for the presence of a feature change but not for the absence of such a change; consequently, a sameness is harder to detect than a difference between two displays. We test this explanation, and determine whether by itself it is a sufficient explanation of the RDS. In a delayed comparison task we find the RDS effect is most prevalent when items retain the same display locations; however, the effect does persist even when compared item locations were scrambled across memory and test arrays. However, with a conjunction task this scrambling of locations was effective in wholly abolishing the RDS effect. We consider that the RDS effect is a consequence of local comparisons of features, as well as global statistical comparisons.Categories have at least two main functions classification of instances and feature inference. Classification involves assigning an instance to a category, and feature inference involves predicting a feature for a category instance. Correspondingly, categories can be learned in two distinct ways, by classification and feature inference. A typical difference between these in the perceptual category learning paradigm is the presence of the category label as part of the stimulus in feature inference learning and not in classification learning. So we hypothesized a label-induced rule-bias in feature inference learning compared to classification and evaluated it on an important starting point in the field for category learning - the category structures from Shepard, Hovland, and Jenkins (Psychological Monographs General and Applied, 75(13), 1-42, 1961). They classically found that classification learning of structures consistent with more complex rules resulted in poorer learning. We compared feature inference learning of these structures with classification learning and found differences between the learning tasks supporting the label-bias hypothesis in terms of an emphasis on label-based rules in feature inference.
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