The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
Open accessAbstract
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries ( www.covidclinical.net ). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.
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An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy
Onder, G., Rezza, G., & Brusaferro, S. (2020) · JAMA · doi:10.1001/jama.2020.4683 · Cited by 4,171
Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · doi:10.1101/2020.03.24.20041020 · Cited by 3,070
The versatile heparin in COVID-19
Thachil, J. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14821 · Cited by 404
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A global federated real-world data and analytics platform for research
Palchuk, M. B., London, J. W., Perez-Rey, D., Drebert, Z. J., Winer-Jones, J. P., Thompson, C. N., Esposito, J., & Claerhout, B. (2023) · JAMIA Open · doi:10.1093/jamiaopen/ooad035 · Cited by 831
“For instance, in the United States, there are i2b2/SHRINE,1 the ACT network,46 OMOP,2 PCORnet,3 and All of Us Research,47 while in Europe, there is eHealth,48 and EHDEN.49 The COVID-19 pandemic led to the rapid development of new ones such as 4CE and N3C.50,51 TriNetX has become a viable CDR as a variety of developmen…”
BackgroundInfluentialGolinelli, D., Boetto, E., Carullo, G., Nuzzolese, A. G., Landini, M. P., & Fantini, M. P. (2020) · Journal of Medical Internet Research · doi:10.2196/22280 · Cited by 574
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
Haendel, M. A., Chute, C. G., Bennett, T. D., Eichmann, D. A., Guinney, J., Kibbe, W. A., Payne, P. R. O., Pfaff, E. R., Robinson, P. N., Saltz, J. H., et al. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa196 · Cited by 553
Self-citationVaid, A., Jaladanki, S. K., Xu, J., Teng, S., Kumar, A., Lee, S., Somani, S., Paranjpe, I., Freitas, J. K. D., Wanyan, T., et al. (2020) · doi:10.1101/2020.08.11.20172809 · Cited by 253
“[2-11] Large-scale initiatives such as the National COVID Cohort Collaborative and the 4CE Consortium have joined globally distributed hospitals to examine association analyses, but meta-analysis does not allow joint machine learning from diverse patient data.[12-13]”
BackgroundKohane, I. S., Aronow, B. J., Avillach, P., Beaulieu-Jones, B. K., Bellazzi, R., Bradford, R. L., Brat, G. A., Cannataro, M., Cimino, J. J., García-Barrio, N., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/22219 · Cited by 113
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Metadata
- Authors
- Brat, G. A., Weber, G. M., Gehlenborg, N., Avillach, P., Palmer, N. P., Chiovato, L., Cimino, J., Waitman, L. R., Omenn, G. S., Malovini, A., Moore, J. H., Beaulieu-Jones, B. K., Tibollo, V., Murphy, S. N., Yi, S. L., Keller, M. S., Bellazzi, R., Hanauer, D. A., Serret-Larmande, A., Gutierrez-Sacristan, A., Holmes, J. J., Bell, D. S., Mandl, K. D., Follett, R. W., Klann, J. G., Murad, D. A., Scudeller, L., Bucalo, M., Kirchoff, K., Craig, J., Obeid, J., Jouhet, V., Griffier, R., Cossin, S., Moal, B., Patel, L. P., Bellasi, A., Prokosch, H. U., Kraska, D., Sliz, P., Tan, A. L. M., Ngiam, K. Y., Zambelli, A., Mowery, D. L., Schiver, E., Devkota, B., Bradford, R. L., Daniar, M., Daniel, C., Benoit, V., Bey, R., Paris, N., Serre, P., Orlova, N., Dubiel, J., Hilka, M., Jannot, A. S., Breant, S., Leblanc, J., Griffon, N., Burgun, A., Bernaux, M., Sandrin, A., Salamanca, E., Cormont, S., Ganslandt, T., Gradinger, T., Champ, J., Boeker, M., Martel, P., Esteve, L., Gramfort, A., Grisel, O., Leprovost, D., Moreau, T., Varoquaux, G., Vie, J.-J., Wassermann, D., Mensch, A., Caucheteux, C., Haverkamp, C., Lemaitre, G., Bosari, S., Krantz, I. D., South, A., Cai, T., & Kohane, I. S.
- Venue
- npj Digital Medicine
- Published
- 2020-08-19
- Volume
- 3
- Issue
- 1
- Pages
- 109-109
- ISSN
- 2398-6352 (ISSN-L)
- OpenAlex
- W3075432525
- Cited by
- 204
- References
- 4
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- gold
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- Brat, G. A., Weber, G. M., Gehlenborg, N., Avillach, P., Palmer, N. P., Chiovato, L., Cimino, J., Waitman, L. R., Omenn, G. S., Malovini, A., Moore, J. H., Beaulieu-Jones, B. K., Tibollo, V., Murphy, S. N., Yi, S. L., Keller, M. S., Bellazzi, R., Hanauer, D. A., Serret-Larmande, A., . . . Kohane, I. S. (2020). International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digital Medicine. https://doi.org/10.1038/s41746-020-00308-0
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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