The distribution of the main prognostic factors in different age groups was evaluated in 1226 patients operated on for primary breast cancer, in order to identify those influenced by age and/or menopausal status. Patients were divided into the following groups: 1) 40 years of age and under; 2) premenopausal over 40 years of age; 3) postmenopausal under 75 years of age and 4) 75 years of age and over. Our findings showed that the youngest patients had the worst prognostic pattern, which improves as age increases and is the best in patients over 75 years of age. Some of the parameters investigated (tumour size, histologic and nuclear grade, tumour infiltrating lymphocytes, p53 and Ki 67) were found to be influenced by age, some (necrosis and oestrogen receptors) were influenced by menopausal status and/or age, some (vascular invasion, ploidy, S-phase and progesterone receptors) showed significant differences in different age groups but there was no consistent relation with patient age or menopausal status, and others (node status, ErbB2/Neu and Cathepsin D) were not influenced by age or menopause.
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http://dx.doi.org/10.1054/brst.1999.0147 | DOI Listing |
Child Abuse Negl
January 2025
Faculty of Medicine, University of Concepción, Chile.
Background: Child sexual exploitation (CSE) involves using a child or youth as a sexual object in exchange for remuneration, reward, or favors, meeting their survival needs, and also serving the perpetrator's aims for sexual, social, or economic gain.
Objective: The present study addresses the prevalence of CSE in Spain.
Participants: A representative sample of 4024 secondary school adolescents from 14 to 17 years old (M = 15.
J Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
J Med Internet Res
January 2025
Indiana University, Indianapolis, IN, United States.
Background: Heart failure (HF) is one of the most common causes of hospital readmission in the United States. These hospitalizations are often driven by insufficient self-care. Commercial mobile health (mHealth) technologies, such as consumer-grade apps and wearable devices, offer opportunities for improving HF self-care, but their efficacy remains largely underexplored.
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