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http://dx.doi.org/10.1093/eurheartj/ehaf013 | DOI Listing |
Clin Cancer Res
January 2025
Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
Purpose: Mesothelin (MSLN) is highly expressed in high grade serous/ endometrioid ovarian cancers (HGOC). Anetumab ravtansine (AR) is an antibody drug conjugate directed at MSLN antigen with a tubulin polymerization inhibitor. We assessed safety, activity and pharmacokinetics of the combination AR/bevacizumab (Bev) (ARB) versus weekly paclitaxel (wP)/Bev (PB) in patients with platinum resistant/refractory HGOC (prrHGOC).
View Article and Find Full Text PDFRheumatol Ther
January 2025
Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Introduction: Prescribable digital health applications (DiGAs) present scalable solutions to improve patient self-management in rheumatology, however real-world evidence is scarce. Therefore, we aimed to assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well as patient satisfaction.
Methods: The DiGAReal registry includes adult patients with rheumatic conditions who received a DiGA prescription.
Eur Heart J
January 2025
Department of Cardiovascular and Pulmonary Sciences, Catholic University School of Medicine, Largo F. Vito 1, Rome 00168, Italy.
Eur Heart J
January 2025
Department of Clinical and Molecular Medicine, Sapienza University of Rome, Via di Grottarossa1035, Rome, Italy.
Online J Public Health Inform
January 2025
Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, United States.
Background: Applying nowcasting methods to partially accrued reportable disease data can help policymakers interpret recent epidemic trends despite data lags and quickly identify and remediate health inequities. During the 2022 mpox outbreak in New York City, we applied Nowcasting by Bayesian Smoothing (NobBS) to estimate recent cases, citywide and stratified by race or ethnicity (Black or African American, Hispanic or Latino, and White). However, in real time, it was unclear if the estimates were accurate.
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