research product . 2020

Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis

Borges do Nascimento, Israel Júnior et al.;
Open Access English
  • Published: 30 Mar 2020
A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-e ects models were applied to estimate pooled ...
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free text keywords: COVID-19, Coronavirus, SARS-CoV, Review Literature as Topic
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86 references, page 1 of 6

1. Lu, H.; Stratton, C.W.; Tang, Y.W. Outbreak of pneumonia of unknown etiology in Wuhan China: The mystery and the miracle. J. Med. Virol. 2020, 92, 401-402. [CrossRef]

2. World Health Organization. Coronavirus Disease 2019 (COVID-19): Situation Report-38; World Health Organization: Geneva, Switzerland, 2020.

3. World Health Organization. Statement on the Second Meeting of the International Health Regulations (2005); Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-nCoV); World Health Organization: Geneva, Switzerland, 2020.

4. Yang, X.; Yu, Y.; Xu, J.; Shu, H.; Xia, J.; Liu, H.; Wu, Y.; Zhang, L.; Yu, Z.; Fang, M.; et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: A single-centered, retrospective, observational study. Lancet Respir. Med. 2020. [CrossRef]

5. World Health Organization. Naming the Coronavirus Disease (COVID-2019) and the Virus That Causes It. 2020. Available online: technical-guidance/naming-the-coronavirus-disease-(covid-2019)-and-the-virus-that-causes-it (accessed on 1 March 2020).

6. Chan, J.F.-W.; Yuan, S.; Kok, K.-H.; To, K.K.; Chu, H.; Yang, J.; Xing, F.; Liu, J.; Yip, C.C.-Y.; Poon, R.W.-S.; et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: A study of a family cluster. Lancet 2020, 395, 514-523. [CrossRef]

7. Xu, X.; Chen, P.; Wang, J.; Feng, J.; Zhou, H.; Li, X.; Hao, P. Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Sci. China Life Sci. 2020, 63, 457-460. [CrossRef]

8. Hu, B.; Zeng, L.-P.; Yang, X.-L.; Ge, X.Y.; Zhang, W.; Li, B.; Xie, J.-Z.; Shen, X.-R.; Zhang, Y.-Z.; Wang, N.; et al. Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus. PLoS Pathog. 2017, 13, e1006698. [CrossRef] [PubMed]

9. Li, W.; Shi, Z.; Yu, M.; Ren, W.; Smith, C.; Epstein, J.H.; Wang, H.; Crameri, G.; Hu, Z.; Zhang, H.; et al. Bats are natural reservoirs of SARS-like coronaviruses. Science 2005, 310, 676-679. [CrossRef] [PubMed]

10. Lu, R.; Zhao, X.; Li, J.; Niu, P.; Yang, B.; Wu, H.; Wang, W.; Song, H.; Huang, B.; Zhu, N.; et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding. Lancet 2020, 395, 565-574. [CrossRef]

11. Sun, P.; Qie, S.; Liu, Z.; Ren, J.; Xi, J.J. Clinical characteristics of 50466 patients with SARS-CoV-2 infection. J. Med. Virol. 2020. [CrossRef]

12. Tricco, A.C.; Lillie, E.; Zarin, W.; O'Brien, K.K.; Colquhoun, H.; Levac, D.; Moher, D.; Peters, M.; Horsley, T.; Weeks, L.; et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation. Ann. Intern. Med. 2018, 169, 467-473. [CrossRef]

13. Murad, M.H.; Sultan, S.; Ha ar, S.; Bazerbachi, F. Methodological quality and synthesis of case series and case reports. BMJ Evid. Based. Med. 2018, 23, 60-63. [CrossRef] [OpenAIRE]

14. University of Bristol CfRSaDA. The ROBINS-E Tool (Risk of Bias in Non-Randomized Studies-of Exposures). 2018. Available online: robins-e/ (accessed on 25 March 2020).

15. Wan, X.; Wang, W.; Liu, J.; Tong, T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med. Res. Methodol. 2014, 14, 135. [CrossRef] [PubMed]

86 references, page 1 of 6
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