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An online tool for predicting the prognosis of cancer patients with SARS-CoV-2 infection: a multi-center study.

Congkuan SongZhe DongHongyun GongXiao-Ping LiuXiaorong DongAifen WangYuan ChenQibin SongWei-Dong Hu
Published in: Journal of cancer research and clinical oncology (2020)
Overall, cancer patients with SARS-CoV-2 had unique clinical features, and the established online tool could guide clinicians to predict the prognosis of patients during the COVID-19 epidemic and to develop more rational treatment strategies for cancer patients.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • end stage renal disease
  • coronavirus disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • prognostic factors
  • social media
  • palliative care