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Academia Europaea’s guidelines for the visualization of clinical outcomes

by Dr. Michael Lee – Health Editor

Academia Europaea issues New Guidance on‍ Clinical Outcomes Visualization

BUDAPEST, HUNGARY – Academia Europaea has released ‌guidelines aimed at ​improving the clarity and accuracy of clinical outcomes visualization, a critical component of modern medical research and practice. ⁣The initiative, drawing on expertise from a diverse international panel, seeks ​to standardize ‍how data is presented, enhancing reproducibility and facilitating informed decision-making. ‌

The advancement of thes​ guidelines involved contributions from researchers across multiple disciplines and institutions, including​ the Department of Pharmacology⁢ and Pharmacotherapy at Albert Szent-Györgyi Medical School, ‌University of Szeged (Varro, OtherS); the HUN-REN-SZTE Research Group ​for Cardiovascular Pharmacology (Varro,⁢ Other’s); the‍ Institute of Pathology,⁣ Friedrich-Alexander University Erlangen-Nuremberg (Vieth, Michael);⁢ the ​Department of General Practice and Health Services Research, Heidelberg University (Wensing, Michel); the centre ⁤for ⁤Population Health, ⁤National University of Singapore (Wong,​ John E.⁢ L.); the Institute of Digestive ⁤Disease, CUHK-Shenzhen Research Institute (Yu,​ Jun);‌ the institute for Translational Medicine‍ and pharmacology, Icahn School ​of Medicine at Mount Sinai ​(Mone​ more); the Division of Infection and Immunity, ⁢University College London ‍(Zumla, Alimuddin); the Department of Biostatistics, university of Veterinary ‍Medicine Budapest‌ (Harnos, Andrea); the Department of Radiology, Semmelweis University ⁤(Teutsch, Brigitta); the School of Biomedical ​Sciences, University⁣ of Leeds (Kuppuswamy, annapoorna); the Department of Mathematics Education, Loughborough University (Morsa, Kinga); and the Department of Plant Anatomy, ELTE​ Eötvös Loránd ‍University (Solymosi, Catherine).

The guidelines address key⁣ areas such as appropriate chart selection, data labeling, and the avoidance of misleading visual representations. A core principle emphasizes ‌transparency in data presentation to ensure that visualizations accurately reflect the underlying ⁣clinical trial or observational study results. ⁢further details regarding the guidelines and their implementation ⁤are expected to‌ be published in a forthcoming report.

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