Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort studyResearch in context

Authors: Erica A. Voss, Azza Shoaibi, Lana Yin Hui Lai, Clair Blacketer, Thamir Alshammari, Rupa Makadia, Kevin Haynes, Anthony G. Sena, Gowtham Rao, Sebastiaan van Sandijk, Clement Fraboulet, Laurent Boyer, Tanguy Le Carrour, Scott Horban, Daniel R. Morales, Jordi Martínez Roldán, Juan Manuel Ramírez-Anguita, Miguel A. Mayer, Marcel de Wilde, Luis H. John, Talita Duarte-Salles, Elena Roel, Andrea Pistillo, Raivo Kolde, Filip Maljković, Spiros Denaxas, Vaclav Papez, Michael G. Kahn, Karthik Natarajan, Christian Reich, Alex Secora, Evan P. Minty, Nigam H. Shah, Jose D. Posada, Maria Teresa Garcia Morales, Diego Bosca, Honorio Cadenas Juanino, Antonio Diaz Holgado, Miguel Pedrera Jiménez, Pablo Serrano Balazote, Noelia García Barrio, Selçuk Şen, Ali Yağız Üresin, Baris Erdogan, Luc Belmans, Geert Byttebier, Manu L.N.G. Malbrain, Daniel J. Dedman, Zara Cuccu, Rohit Vashisht, Atul J. Butte, Ayan Patel, Lisa Dahm, Cora Han, Fan Bu, Faaizah Arshad, Anna Ostropolets, Fredrik Nyberg, George Hripcsak, Marc A. Suchard, Dani Prieto-Alhambra, Peter R. Rijnbeek, Martijn J. Schuemie, Patrick B. Ryan

Source: EClinicalMedicine, Vol 58, Iss , Pp 101932- (2023)

Subject Terms: COVID-19, Observational research, OMOP CDM, Adverse events of special interest, Medicine (General), R5-920

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589537023001098; https://doaj.org/toc/2589-5370

Access URL: https://doaj.org/article/699e462100af44ad885c8109c6df5465