@article{Shoaibi_A-2022_87400,
title = {Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study},
author = {Shoaibi, A. and Rao, G. and Voss, E. and Ostropolets, A. and Mayer, M. and Ramírez-Anguita, J. and Maljković, F. and Carević, B. and Horban, S. and Morales, D. and Duarte-Salles, T. and Fraboulet, C. and Le Carrour, T. and Denaxas, S. and Papez, V. and John, L. and Rijneek, P. and Minty, E. and Alshammari, T. and Makadia, R. and Blacketer, C. and DeFalco, F. and Sena, A. and Suchard, M. and Prieto-Alhambra, D. and Ryan, P.},
month = {jun},
year = {2022},
abstract = {INTRODUCTION: Vaccine-induced thrombotic thrombocytopenia (VITT) has been identified as a rare but serious adverse event associated with coronavirus disease 2019 (COVID-19) vaccines.},
pages = {685-698},
volume = {45},
journal = {Drug Safety},
publisher = {Springer Nature},
url = {https://doi.org/10.1007/s40264-022-01187-y},
}
