Publications by authors named "T Heritage"
Article Synopsis
- * A study examined the effects of a best practice program for patients with relapsed/refractory multiple myeloma undergoing treatment with selinexor, including starting dosages and use of antiemetics.
- * Results showed that patients post-implementation of the best practice program experienced longer time to treatment failure, longer therapy duration, and fewer drug-related toxicities compared to those before the program was introduced.
Introduction: Trilaciclib was recently approved in the USA for reducing chemotherapy-induced myelosuppression (CIM) among adults with extensive-stage small cell lung cancer (ES-SCLC) when administered prior to chemotherapy. There is limited understanding of real-world outcomes of trilaciclib.
Methods: A comprehensive literature review was conducted using a keyword search in the MEDLINE, Embase, and conference abstracts.
Background: Myelosuppression is a major dose-limiting complication of chemotherapy for patients with extensive-stage small cell lung cancer (ES-SCLC). The objective was to describe the burden of myelosuppression, treatment patterns, and supportive care use among patients with ES-SCLC treated with chemotherapy in a US community oncology setting.
Methods: This retrospective cohort study used structured electronic medical record (EMR) data from the Florida Cancer Specialists & Research Institute between January 2013 and December 2020.
Objectives: To objectively evaluate freely available data profiling software tools using healthcare data.
Design: Data profiling tools were evaluated for their capabilities using publicly available information and data sheets. From initial assessment, several underwent further detailed evaluation for application on healthcare data using a synthetic dataset of 1000 patients and associated data using a common health data model, and tools scored based on their functionality with this dataset.
Introduction: Numerous scientific journal articles related to COVID-19 have been rapidly published, making navigation and understanding of relationships difficult.
Methods: A graph network was constructed from the publicly available COVID-19 Open Research Dataset (CORD-19) of COVID-19-related publications using an engine leveraging medical knowledge bases to identify discrete medical concepts and an open-source tool (Gephi) to visualise the network.
Results: The network shows connections between diseases, medications and procedures identified from the title and abstract of 195 958 COVID-19-related publications (CORD-19 Dataset).