Background: Risk stratification and treatment benefit prediction models are urgent to improve negative sentinel lymph node (SLN-) melanoma patient selection, thus avoiding costly and toxic treatments in patients at low risk of recurrence. To this end, the application of artificial intelligence (AI) could help clinicians to better calculate the recurrence risk and choose whether to perform adjuvant therapy.
Methods: We made use of AI to predict recurrence-free status (RFS) within 2-years from diagnosis in 94 SLN- melanoma patients.
Metaplastic breast cancer (MPBC) is a rare and aggressive tumor type in great need of satisfactory therapies. Although most cases of MPBC are 'triple negative', they are nonetheless related to worse outcomes compared with other triple-negative invasive tumors. MPBC presents high levels of genetic and molecular heterogeneity, suggesting that novel targeted therapies can be exploited.
View Article and Find Full Text PDFObjective: To evaluate the occurrence of falls reported by rheumatoid arthritis patients and its relation to disease activity, functional capacity and physical fitness.
Materials And Methods: A cross-sectional study constituted by a sample of 97 rheumatoid arthritis patients from the city of Marília (SP) from 2012 to 2013, were assessed for disease activity. Instruments validated for Brazilian population in order to evaluate physical and functional capacity were used.
Objective: To analyze and compare quality of life (QoL) in adults and elderly patients with rheumatoid arthritis (RA).
Methods: This was a cross-sectional quantitative study. The tools include the Medical Outcomes Study Short Form-36 (SF-36), the Disease Activity Score 28 (DAS-28), the Assessment Health Questionnaire (HAQ), the Beck Depression Inventory (BDI) and the 6-Minute Walk Test (6MWT).