Publications by authors named "M C Robson"
Objective: Test the feasibility and effectiveness of a text message reminder intervention for the self-management of oral anticancer medication in patients with metastatic breast cancer.
Methods: Forty-three females initiating treatment with palbociclib participated in a two-armed prospective randomized clinical trial. Participants were randomized into the control ( = 21) and intervention groups ( = 22) from January 2020 to January 2023.
Introduction: Recent trial-level meta-analyses have established disease-free survival (DFS) as a valid surrogate for overall survival (OS) in human epidermal growth factor receptor 2-negative (HER2-) breast cancer (BC), irrespective of disease stage, and in early-stage hormone receptor-positive (HR+)/HER2- BC. To advance the understanding of the association between additional DFS endpoints and OS, this study assessed the patient-level correlations between DFS and OS, invasive DFS (IDFS) and OS, and distant DFS (DDFS) and OS in Medicare beneficiaries with early-stage HER2- BC, overall and in subgroups of patients with HR+/HER2- BC and triple-negative BC (TNBC).
Methods: Patients with stages I-III HER2- BC aged ≥ 66 years were identified from SEER-Medicare data (2010-2019).
Glyphosate is a widely used herbicide worldwide. Research on human health effects has been limited and the toxicokinetics of glyphosate have not been widely examined. This research aimed to study the excretion profile and half-life of glyphosate in farmers and residents who use glyphosate to control weeds in their agricultural fields and near their households, respectively.
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- Researchers are merging unstructured patient data with structured health records to create the MSK-CHORD dataset, consisting of varied cancer types from nearly 25,000 patients at Memorial Sloan Kettering Cancer Center.
- This dataset allows for in-depth analysis of cancer outcomes using advanced techniques like natural language processing, revealing new relationships that smaller datasets may not show.
- Using MSK-CHORD for machine learning models, findings suggest that incorporating features from these unstructured texts can better predict patient survival than relying solely on genomic data or cancer staging.