Evidence map›Paper›PMID 36245702›Full record

ArticleiMeta2022

TCM2COVID: A resource of anti-COVID-19 traditional Chinese medicine with effects and mechanisms.

Liping Ren, Yi Xu, Lin Ning, Xianrun Pan, Yuchen Li, Qi Zhao, Bo Pang, Jian Huang, Kejun Deng, Yang Zhang

Abstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  20. Computational prediction of promotors inFrontiers in microbiology · 2023
    Article
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

10 authors.

Liping RenInnovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline Chengdu University of Traditional Chinese Medicine Chengdu China.
Yi XuSchool of Life Science and Technology University of Electronic Science and Technology of China (UESTC) Chengdu China.
Lin NingSchool of Healthcare Technology Chengdu Neusoft University Chengdu China.
Xianrun PanCollege of Medical Technology Chengdu University of Traditional Chinese Medicine Chengdu China.
Yuchen LiSchool of Healthcare Technology Chengdu Neusoft University Chengdu China.
Qi ZhaoCollege of Food and Biological Engineering Chengdu University Chengdu China.
Bo PangBeijing CapitalBio Technology Co., Ltd. Beijing China.
Jian HuangSchool of Life Science and Technology University of Electronic Science and Technology of China (UESTC) Chengdu China.
Kejun DengSchool of Life Science and Technology University of Electronic Science and Technology of China (UESTC) Chengdu China.
Yang ZhangInnovative Institute of Chinese Medicine and Pharmacy, Academy for Interdiscipline Chengdu University of Traditional Chinese Medicine Chengdu China.ORCID 0000-0002-1317-120X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, traditional Chinese medicine (TCM) has been widely used for coronavirus infectious disease 2019 (COVID-19) prevention, treatment, and recovery and has played a part in the battle against the disease. A variety of TCM treatments have been recommended for different stages of COVID-19. But, to the best of our knowledge, a comprehensive database for storing and organizing anti-COVID TCM treatments is still lacking. Herein, we developed TCM2COVID, a manually curated resource of anti-COVID TCM formulas, natural products (NPs), and herbs. The current version of TCM2COVID (1) documents over 280 TCM formulas (including over 300 herbs) with detailed clinical evidence and therapeutic mechanism information; (2) records over 80 NPs with detailed potential therapeutic mechanisms; and (3) launches a useful web server for querying, analyzing and visualizing documented formulas similar to those supplied by the user (formula similarity analysis). In summary, TCM2COVD provides a user-friendly and practical platform for documenting, querying, and browsing anti-COVID TCM treatments, and will help in the development and elucidation of the mechanisms of action of new anti-COVID TCM therapies to support the fight against the COVID-19 epidemic. TCM2COVID is freely available at http://zhangy-lab.cn/tcm2covid/.

Indexed as

COVID‐19databaseherbnatural producttraditional Chinese medicine

Identifiers

PMID36245702
PMCPMC9537919

What Socratic 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 Socratic graph.