Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529794 | PMC |
http://dx.doi.org/10.1177/01410768241288462 | DOI Listing |
Introduction: Despite recent advances in first-line therapies for multiple myeloma (MM), most patients relapse or become refractory, underscoring the need for effective second-line (2L) regimens for relapsed/refractory MM (RRMM).
Methods: This study describes the real-world baseline characteristics, treatment patterns and clinical outcomes of adult patients diagnosed with MM between 2013 and 2020 using data collated by the National Cancer Registration and Analysis Service (NCRAS) of the National Health Service in England. The study cohorts were broadly aligned to the eligibility criteria of the ongoing DREAMM-7 (D7) and DREAMM-8 (D8) clinical trials.
J Thorac Oncol
January 2025
Ludwig-Maximilian-University of Munich, Thoracic Oncology Centre Munich, German Centre for Lung Research, Munich, Germany.
Introduction: Lung cancer screening (LCS) using low-dose-computed tomography reduces lung cancer mortality in high-risk individuals. Evaluating and monitoring LCS programs are important to ensure and improve quality, efficiency and participant outcomes. There is no agreement on LCS quality indicators (QIs).
View Article and Find Full Text PDFJ Thorac Oncol
January 2025
Division of Thoracic Surgery, Keio University School of Medicine, Tokyo, Japan.
Introduction: Pulmonary high-grade neuroendocrine carcinoma (NEC) includes small cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). The seventh and eighth editions of the TNM classification for lung cancer confirmed the applicability of this staging system for SCLC. With the proposal of N2 and M1c subcategories for the ninth edition classification, we assessed the applicability to NECs.
View Article and Find Full Text PDFHeart Rhythm
January 2025
Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK; Leeds Institute of Data Analytics, University of Leeds, Leeds, UK; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Background: Detecting atrial fibrillation (AF) after stroke is a key component of secondary prevention, but indiscriminate prolonged cardiac monitoring is costly and burdensome. Multivariable prediction models could be used to inform patient selection.
Objective: To determine the performance of available models for predicting AF after a stroke.
Objectives: To determine and compare the diagnostic accuracy of imaging tests for the prediction of RA progression in people with inflammatory joint pain or CSA.
Methods: We searched MEDLINE, Embase and Web of Science from 1987 to March 2024. Studies evaluating any imaging tests in participants with inflammatory joint pain or CSA, without clinical synovitis were eligible.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!