A Systematic Framework to Rapidly Obtain Data on Patients with Cancer and COVID-19: CCC19 Governance, Protocol, and Quality Assurance.

Loading...
Thumbnail Image

Date

2020-12

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

1
views
4
downloads

Citation Stats

Attention Stats

Abstract

When the COVID-19 pandemic began, formal frameworks to collect data about affected patients were lacking. The COVID-19 and Cancer Consortium (CCC19) was formed to collect granular data on patients with cancer and COVID-19 at scale and as rapidly as possible. CCC19 has grown from five initial institutions to 125 institutions with >400 collaborators. More than 5,000 cases with complete baseline data have been accrued. Future directions include increased electronic health record integration for direct data ingestion, expansion to additional domestic and international sites, more intentional patient involvement, and granular analyses of still-unanswered questions related to cancer subtypes and treatments.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1016/j.ccell.2020.10.022

Publication Info

COVID-19 and Cancer Consortium. Electronic address: jeremy.warner@vumc.org, and undefined COVID-19 and Cancer Consortium (2020). A Systematic Framework to Rapidly Obtain Data on Patients with Cancer and COVID-19: CCC19 Governance, Protocol, and Quality Assurance. Cancer cell, 38(6). pp. 761–766. 10.1016/j.ccell.2020.10.022 Retrieved from https://hdl.handle.net/10161/31554.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.