Evidence map›Paper›PMID 33716728›Full record

ArticleFrontiers in pharmacology2020

Prospective: Evolution of Chinese Medicine to Treat COVID-19 Patients in China.

Jieya Wu, Baoguo Sun, Li Hou, Fulan Guan, Liyuan Wang, Peikwen Cheng, Sophia Scobell, Yung-Chi Cheng, Wing Lam

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Jieya WuDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Baoguo SunDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Li HouDepartment of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Fulan GuanDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Liyuan WangDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Peikwen ChengDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Sophia ScobellDepartment of Biology, Wesleyan University, Middletown, CT, United States.
Yung-Chi ChengDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Wing LamDepartment of Pharmacology, Yale University School of Medicine, New Haven, CT, United States.
Yale University · USDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNJiangxi University of Traditional Chinese Medicine · CNWesleyan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the outbreak of the novel coronavirus disease (COVID-19), the Chinese government took a series of public health measures to tackle the outbreak and recommended six traditional Chinese medicine (TCM) evolved formulas, collectively referred to as "3-drugs-3-formulas", for the treatment. In this prospective article, we will discuss how these six formulas evolved from TCM and what their underlying mechanisms of actions may be by evaluating the historical usage of the component formulas, the potential targeted pathways for the individual herbs used by STAR (signal transduction activity response) database from our laboratory, and the pathogenesis of COVID-19. Five of the six recommended formulas are administered orally, while the sixth is taken as an injection. Five classic categories of herbs in the six formulas including "Qing-Re", "Qu-Shi", "Huo-Xue", "Bu-Yi" and "Xing-Qi" herbs are used based on different stages of disease. All five oral formulas build upon the core formula Maxingshigan Decoction (MD) which has anti-inflammatory and perhaps antiviral actions. While MD can have some desired effects, it may not be sufficient to treat COVID-19 on its own; consequently, complementary classic formulas and/or herbs have been added to potentiate each recommended formula's anti-inflammatory, and perhaps anti-renin-angiotensin system (RAS)-mediated bradykinin storm (RBS) and antiviral effects to address the unique medical needs for different stages of COVID-19. The key actions of these formulas are likely to control systemic inflammation and/or RBS. The usage of Chinese medicine in the six formulas is consistent with the pathogenesis of COVID-19. Thus, an integrative systems biology approach-combining botanical treatments of conventional antiviral, anti-inflammatory or anti-RBS drugs to treat COVID-19 and its complications - should be explored.

Indexed as

3-drugs-3-formulasChinese medicineCOVID-19cytokine stormpathogenesisRAS-mediated bradykinin storm

Identifiers

PMID33716728
PMCPMC7947616
OpenAlexW3133979194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.