-
Meta Analysis
Efficacy and safety of Xiyanping for COVID-2019: A protocol for systematic review and meta-analysis.
- Hui Zhou, Dongqiong Chen, Yuan Zhang, Qianru Zhu, Yan Yang, Yan Liu, Guangming Gong, and Chunguang Xie.
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, P.R. China.
- Medicine (Baltimore). 2020 Nov 13; 99 (46): e22962e22962.
BackgroundCoronavirus disease 2019 (COVID-19) is a global pandemic caused by the severe acute respiratory syndrome coronavirus-2.COVID-19 is highly pathogenic and infectious. COVID-19 epidemic is still spreading all over the world, and there is no sign of stopping at present. There is no specific cure for this disease, and the clinical management mainly depends on supportive treatment. Xiyanping is widely used in treating COVID-19 in China. However, there is no evidence that Xiyanping is effective and safe for COVID-19.MethodsA comprehensive literature search will be conducted. Two methodological trained researchers will read the title, abstract, and full texts and independently select the qualified literature according to inclusion and exclusion criteria. After assessment of the risk of bias and data extraction, we will conduct meta-analysis for outcomes related to COVID-19. The heterogeneity of data will be investigated by Cochrane X and I tests. Then publication bias assessment will be conducted by funnel plot analysis and Egger test.ResultsThe results of our research will be published in a peer-reviewed journal.ConclusionOur study aims to systematically present the clinical evidence of Xiyanping in the treatment of COVID-19, which will be of guiding significance for further research and clinical practice.Open Science Framework Registration Number10.17605/OFS.IO/SW75F.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.