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Chinese herbal medicine for COVID-19: Current evidence with systematic review and meta-analysis

Fan AY, Gu S, Alemi SF, Research Group for Evidence-based Chinese Medicine

Journal of integrative medicine, 2020

732 participants · 67 citations

Abstract

Background: There is currently no drug or therapy that cures COVID-19, a highly contagious and life-threatening disease.

Objective: This systematic review and meta-analysis summarized contemporary studies that report the use of Chinese herbal medicine (CHM) to treat COVID-19.

Search strategy: Six electronic databases (PubMed/MEDLINE, Cochrane Library, ScienceDirect, Google Scholar, Wanfang Data and China National Knowledge Infrastructure) were searched from their beginning to May 15, 2020 with the following search terms: traditional Chinese medicine, Chinese medicine, Chinese herbal medicine, COVID-19, new coronavirus pneumonia, SARS-CoV-2, and randomized controlled trial.

Inclusion criteria: Randomized controlled trials (RCTs) from peer-reviewed journals and non-reviewed publications were included. Further, included RCTs had a control group that was given standard care (SC; such as conventional Western medicine treatments or routine medical care), and a treatment group that was given SC plus CHM.

Data extraction and analysis: Two evaluators screened and collected literature independently; information on participants, study design, interventions, follow-up and adverse events were extracted, and risk of bias was assessed. The primary outcomes included scores that represented changes in symptoms and signs over the course of treatment. Secondary outcomes included the level of inflammatory markers, improvement of pneumonia confirmed by computed tomography (CT), and adverse…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 732 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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