SynthesisThe American journal of emergency medicine2020
The role of Chinese medicine in COVID-19 pneumonia: A systematic review and meta-analysis.
Synthesis in The American journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Herbal medicine for COVID-19: An overview of systematic reviews and meta-analysis.Phytomedicine : international journal of phytotherapy and phytopharmacology · 2022Pooled it
- Herbal Medicine Intervention for the Treatment of COVID-19: A Living Systematic Review and Cumulative Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
- Add-on effect of Chinese herbal medicine in the treatment of mild to moderate COVID-19: A systematic review and meta-analysis.PloS one · 2021Pooled it
- Efficacy of Integrated Traditional Chinese and Western Medicine for Treating COVID-19: A Systematic Review and Meta-Analysis of RCTs.Frontiers in public health · 2021Pooled it
- Advancements in Plant-Derived sRNAs Therapeutics: Classification, Delivery Strategies, and Therapeutic Applications.International journal of molecular sciences · 2025Review
- "The History of Chinese Medicine Really Is Very Detailed Regarding Pandemics": A Qualitative Analysis of Evidence-Based Practice and the Use of Chinese Herbal Medicine by Licensed Acupuncturists During the COVID-19 Pandemic in the United States.Journal of integrative and complementary medicine · 2023Article
- Cross-Sectional Survey of Acupuncturists in the United States Who Prescribed Chinese Herbal Medicine for Patients with Symptoms Likely Related to COVID-19.Journal of integrative and complementary medicine · 2023Article
- Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression.Science China. Life sciences · 2023Article
- Complementary and alternative medicine (CAM) interventions for COVID-19: An overview of systematic reviews.Integrative medicine research · 2022Review
- Traditional Chinese medicine treatment for COVID-19: An overview of systematic reviews and meta-analyses.Journal of integrative medicine · 2022Review
- Clinical Evidence on the Use of Chinese Herbal Medicine for Acute Infectious Diseases: An Overview of Systematic Reviews.Frontiers in pharmacology · 2022Review
- Role of herbal medicines in the management of patients with COVID-19: A systematic review and meta-analysis of randomized controlled trials.Journal of traditional and complementary medicine · 2022Review
- Traditional Chinese medicine in COVID-19.Acta pharmaceutica Sinica. B · 2021Review
- The use of integrative therapy based on Yoga and Ayurveda in the treatment of a high-risk case of COVID-19/SARS-CoV-2 with multiple comorbidities: a case report.Journal of medical case reports · 2021Article
- Traditional Herbal Medicines, Bioactive Metabolites, and Plant Products Against COVID-19: Update on Clinical Trials and Mechanism of Actions.Frontiers in pharmacology · 2021Review
- Evidence Mapping of 23 Systematic Reviews of Traditional Chinese Medicine Combined With Western Medicine Approaches for COVID-19.Frontiers in pharmacology · 2021Review
- Efficacy and Safety of Traditional Chinese Medicine in Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis.Frontiers in pharmacology · 2021Article
- Traditional chinese medicine and COVID-19: should emergency practitioners use it?The American journal of emergency medicine · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionChinese medicine (CM) has been used to treat Novel Coronavirus 2019 (COVID-19) pneumonia in China. This meta-analysis was conducted to evaluate the clinical efficacy and safety of CM in the treatment of COVID-19 pneumonia.
methodsRandomized controlled trials (RCTs) involving CM in the treatment of COVID-19 pneumonia were identified from Cochrane Central Register of Controlled Trials, PubMed, EMBASE, Chinese National Knowledge Infrastructure, Chinese Biomedical Database, Wanfang Database and VIP Information Database. The methodological quality of trials was evaluated with Cochrane Hanadbook criteria, and the Cochrane Collaboration's Review Manager 5.3 software was used for meta-analysis.
resultsA total of 7 valid studies involving 681 patients were included. The meta-analysis exhibited in comparison to conventional treatment, CM combined with conventional treatment significantly improved clinical efficacy (RR = 1.21, 95% CI [1.08,1.36]), and significantly increased viral nucleic acid negative conversion rate (RR = 1.49, 95% CI [1.13,1.97]). CM also prominently reduced pulmonary inflammation (RR = 1.27, 95% CI [1.12,1.44]), and improved host immune function (WBC, MD = 0.92, 95% CI [0.07,1.76]; LYM, MD = 0.33, 95% CI [0.08,0.57]; LYM%, MD = 2.90, 95% CI [2.09,3.71]; CRP, MD = -12.66, 95% CI [-24.40, -0.92]). Meanwhile, CM did not increase the incidence of adverse reactions (RR = 1.17, 95% CI [0.39,3.52]).
conclusionAccording to the allocated data, CM has demonstrated clinical efficacy and safety on COVID-19 pneumonia, which need to be confirmed by high quality, multiple-center, large sample randomized controlled trials.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.