SynthesisJournal of evaluation in clinical practice2022
Chinese herbal medicine ("3 medicines and 3 formulations") for COVID-19: rapid systematic review and meta-analysis.
Synthesis in Journal of evaluation in clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study.Frontiers in pharmacology · 2023Pooled it
- Chinese herbal medicine ("3 medicines and 3 formulations") for COVID-19: rapid systematic review and meta-analysis.Journal of evaluation in clinical practice · 2022Pooled it
- The add-on effect of Shufeng Jiedu capsule for treating COVID-19: A systematic review and meta-analysis.Frontiers in medicine · 2022Pooled it
- Identification of Cathepsin L as the Molecular Target of Hydroxychloroquine With Chemical Proteomics.Molecular & cellular proteomics : MCP · 2025Article
- Nuclear Magnetic Resonance Based Metabolomics-A Rising Star in Traditional Chinese Medicine Research.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Effect of Traditional Chinese Medicine on COVID-19 Treatment: A Meta-Analysis of Randomized Clinical Trials.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Article
- Network-based pharmacology and UHPLC-Q-Exactive-Orbitrap-MS revealFrontiers in immunology · 2024Article
- Traditional Chinese medicine treatment for COVID-19: An overview of systematic reviews and meta-analyses.Journal of integrative medicine · 2022Review
- Complementary and alternative medicine (CAM) interventions for COVID-19: An overview of systematic reviews.Integrative medicine research · 2022Review
- TCM2COVID: A resource of anti-COVID-19 traditional Chinese medicine with effects and mechanisms.iMeta · 2022Article
- The efficacy and safety of combined chinese herbal medicine and western medicine therapy for COVID-19: a systematic review and meta-analysis.Chinese medicine · 2022Review
- Initial observations of Jinhua Qinggan Granules, a Chinese medicine, in the mitigation of hospitalization and mortality in high-risk elderly with COVID-19 infection: A retrospective study in an old age home in Hong Kong.Frontiers in medicine · 2022Article
- Exploring the mechanism of action of Xuanfei Baidu granule (XFBD) in the treatment of COVID-19 based on molecular docking and molecular dynamics.Frontiers in cellular and infection microbiology · 2022Article
- The Adverse Reactions of Lianhua Qingwen Capsule/Granule Compared With Conventional Drug in Clinical Application: A Meta-Analysis.Frontiers in pharmacology · 2022Review
- Efficacy of Qingfei Paidu Decoction on Patients with COVID-19 Pneumonia in Wuhan, China: A Propensity Score Matching Study.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Protective effects of Jing-Si-herbal-tea in inflammatory cytokines-induced cell injury on normal human lung fibroblastTzu chi medical journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo evaluate the evidence behind claims that Chinese Herbal Medicine, specifically "three medicines and three formulations" (3M3F, comprising Jinhua Qinggan, Lianhua Qingwen, Xuebijing, Qingfei Paidu, Huashi Baidu, and Xuanfei Baidu), is an effective treatment for COVID-19.
methodsWe searched PubMed, MEDLINE and CNKI databases, preprint servers, clinical trial registries and supplementary sources for Chinese- or English-language randomized trials or non-randomized studies with comparator groups, which tested the constituents of 3M3F in the treatment of COVID-19 up to September 2020. Primary outcome was change in disease severity. Secondary outcomes included various symptoms. Meta-analysis (using generic inverse variance random effects model) was performed when there were two or more studies reporting on the same symptom.
resultsOf 607 articles identified, 13 primary studies (6 RCTs and 7 retrospective non-randomized comparative studies) with 1467 participants met our final inclusion criteria. Studies were small and had significant methodological limitations, most notably potential bias in assessment of outcomes. No study convincingly demonstrated a statistically significant impact on change in disease severity. Eight studies reported sufficiently similar secondary outcomes to be included in a meta-analysis. Some statistically significant impacts on symptoms, chest CT manifestations, laboratory variables and length of stay were demonstrated, but such findings were sparse and many remain unreplicated.
conclusionsThese findings neither support nor refute the claim that 3M3F alters the severity of COVID-19 or alleviates symptoms. More rigorous studies are required to properly ascertain the potential role of Chinese Herbal Medicine in COVID-19.
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Registered trials
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 Socratic graph.