Purpose: Machine learning (ML) is a powerful tool for interrogating datasets and learning relationships between multiple variables. We utilized a ML model to identify those early breast cancer (EBC) patients at highest risk of developing severe vasomotor symptoms (VMS).
Methods: A gradient boosted decision model utilizing cross-sectional survey data from 360 EBC patients was created.
Background: Despite the frequency of vasomotor symptoms (VMS) in patients with early breast cancer (EBC), their optimal management remains unknown. A patient survey was performed to determine perspectives on this important clinical challenge.
Methods: Patients with EBC experiencing VMS participated in an anonymous survey.
Objective: The objective of this review is to describe and synthesize the current state of knowledge pertaining to breast cancer in Indigenous women living in Canada. We will examine the continuum of breast cancer care in this population, including breast cancer screening, diagnosis, treatment, and surveillance.
Introduction: Breast cancer in Indigenous women is an evolving health care concern in Canada, with mounting evidence suggesting that these women present at later stages, and have poorer survival rates compared with the general population.
Purpose: Vasomotor symptoms (VMS) such as hot flashes and night sweats are common in breast cancer patients and can affect both quality of life and treatment adherence. However, there is limited practical data to guide clinicians in the optimal selection of therapeutic strategies. A survey of health care providers was performed to better understand perspectives and prescribing practices for managing this problem.
View Article and Find Full Text PDFProblem Identification: Hot flashes are common and bothersome in patients with breast and prostate cancer and can adversely affect patients' quality of life.
Literature Search: Databases were searched for randomized controlled trials (RCTs) evaluating the effects of one or more interventions for hot flashes in patients with a history of breast or prostate cancer.
Data Evaluation: Outcomes of interest included changes in hot flash severity, hot flash frequency, quality of life, and harms.