For: | Tang M, Yu XX, Huang J, Gao JL, Cen FL, Xiao Q, Fu SZ, Yang Y, Xiong B, Pan YJ, Liu YX, Feng YW, Li JX, Liu Y. Clinical diagnosis of severe COVID-19: A derivation and validation of a prediction rule. World J Clin Cases 2021; 9(13): 2994-3007 [PMID: 33969085 DOI: 10.12998/wjcc.v9.i13.2994] |
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URL: | https://www.wjgnet.com/2307-8960/full/v9/i13/2994.htm |
Number | Citing Articles |
1 |
Ian Levenfus, Enrico Ullmann, Katja Petrowski, Jutta Rose, Lars C. Huber, Melina Stüssi-Helbling, Macé M. Schuurmans. The AIFELL Score as a Predictor of Coronavirus Disease 2019 (COVID-19) Severity and Progression in Hospitalized Patients. Diagnostics 2022; 12(3): 604 doi: 10.3390/diagnostics12030604
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2 |
Poonam Arora, Takshak Shankar, Shrirang Joshi, Aadya Pillai, Ankita Kabi, Rajnish K. Arora, Meenakshi Khapre, Nilotpal Chowdhury. Prognostication of COVID-19 patients using ROX index and CURB-65 score - A retrospective observational study. Journal of Family Medicine and Primary Care 2022; 11(10): 6006 doi: 10.4103/jfmpc.jfmpc_85_22
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3 |
Rui‐kun Zhang, Qi Xiao, Sheng‐lang Zhu, Hai‐yan Lin, Ming Tang. Using different machine learning models to classify patients into mild and severe cases of COVID‐19 based on multivariate blood testing. Journal of Medical Virology 2022; 94(1): 357 doi: 10.1002/jmv.27352
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4 |
Shichang Sun, Ye Huang, Xinbo Yin. Using admission SpO2 and ROX index predict outcome in patients with COVID-19. The American Journal of Emergency Medicine 2022; 56: 321 doi: 10.1016/j.ajem.2021.08.055
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5 |
Anjali Pitamberwale, Tariq Mahmood, Azmat Kamal Ansari, Shabana Andleeb Ansari, Kirti Limgaokar, Lalit Singh, Geeta Karki. Biochemical Parameters as Prognostic Markers in Severely Ill COVID-19 Patients. Cureus 2022; doi: 10.7759/cureus.28594
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6 |
Himanika Paliwal, Nadia Noor Ali, Abhijit Ninghot, Azmat Kamal Ansari, Shabana Andleeb Ansari. Utility of Cardiac Troponin-I in the Prediction of In-Hospital Mortality of Patients With COVID-19: A Retrospective Cohort Study in Central India. Cureus 2024; doi: 10.7759/cureus.64327
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