Improvement of post-stroke outcomes relies on patient adherence and appropriate therapy maintenance by physicians. However, comprehensive evaluation of these factors is often overlooked. This study assesses secondary stroke prevention by differentiating patient adherence to antithrombotic treatments (ATT) from physician-initiated interruptions or switches.
View Article and Find Full Text PDFPurpose: Metadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency-funded project (EUPAS39322), defined a set of metadata to describe real-world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct.
Methods: A list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software.
In recent years, targeted genome editing has emerged as an indispensable tool for creating animal models, facilitating a comprehensive exploration of the molecular mechanisms governing a myriad of biological processes. Within this scientific landscape, the investigation of meiosis in mice has attracted considerable attention across numerous research laboratories. The precision and versatility of the CRISPR/Cas9 genome editing system have revolutionized our ability to generate mice with tailored genetic alterations, including point mutations and null mutations.
View Article and Find Full Text PDFObjective: The objective of this study was to identify factors associated with long-term opioid use and to assess the association between long-term use and death.
Study Design: Retrospective cohort study combining several population-wide databases and covering a population of five million inhabitants, including all adults who were initiated on opioid treatment from 2014 to 2018 for non-cancer pain.
Methods: We used logistic regression models to identify factors associated with chronic opioid use and carried out survival analyses using multivariable Cox regression modelling for all-cause mortality during follow-up using inverse probability of treatment weighting (IPTW) and propensity scores based on the probability of using opioids chronically.