Evidence map›Paper›PMID 35991891›Full record

ReviewFrontiers in pharmacology2022

Application of network pharmacology in the study of the mechanism of action of traditional chinese medicine in the treatment of COVID-19.

Shihao Zheng, Tianyu Xue, Bin Wang, Haolin Guo, Qiquan Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Luteolin fromPharmaceuticals (Basel, Switzerland) · 2026
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  4. Therapeutic Potential ofPharmaceuticals (Basel, Switzerland) · 2025
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  15. The Potential of Ameliorating COVID-19 and Sequelae FromBioinformatics and biology insights · 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

5 authors at 2 institutions in 1 country.

Shihao ZhengGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Tianyu XueGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Bin WangGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Haolin GuoGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Qiquan LiuGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Hebei University of Chinese Medicine · CNFirst Affiliated Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network pharmacology was rapidly developed based on multidisciplinary holistic analysis of biological systems, which has become a popular tool in traditional Chinese medicine (TCM) research in recent years. Its characteristics of integrity and systematization provide a new approach for the study on complex TCM systems, which has many similarities with the holistic concept of TCM. It has been widely used to explain the mechanism of TCM treatment of diseases, drug repositioning, and interpretation of compatibility of TCM prescriptions, to promote the modernization of TCM. The use of TCM have provided crucial support on prevention and treatment of diseases such as the famous "three medicines and three prescriptions". Furthermore, TCM has become an important part of the treatment of COVID-19 and is one of the main contents of the "Chinese plan" to fight the epidemic. The current review demonstrated the role of TCM in treating diseases with multiple components, multiple targets, and multiple pathways, interprets the connotation of TCM treatment method selection based on pathogenesis and also discusses the application of network pharmacology in the study of COVID-19 treatment in TCM including single drug and prescription. However, there are still some shortcomings such as the lack of experimental verification and regular upgrading of the TCM pharmacology network. Therefore, we must pay attention to the characteristics of TCM and develop a network pharmacology method suitable for TCM system research when applying network pharmacology to TCM research.

Indexed as

COVID-19mechanism of actionnetwork pharmacologyreviewtraditional Chinese medicine pharmacology

Identifiers

PMID35991891
PMCPMC9387999
OpenAlexW4289730967

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.