Evidence map›Paper›PMID 32148533›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2020

Applications of Network Pharmacology in Traditional Chinese Medicine Research.

Zhuchen Zhou, Bing Chen, Simiao Chen, Minqiu Lin, Ying Chen, Shan Jin, Weiyan Chen, Yuyan Zhang

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers.

0numbers the graph read from it
0cells of the map it votes in
194citing 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

194 citing papers in PubMed.

  1. Article
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  5. International journal of molecular sciences · 2026
    Review
  6. Review
  7. Ribifolones A-H, New Macrocyclic Diterpenes fromMolecules (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Antitumor Study of the Miao MedicineCurrent issues in molecular biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Article

134 more citing papers are in PubMed but not listed here.

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

8 authors.

Zhuchen ZhouSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.ORCID https://orcid.org/0000-0001-5096-3903
Bing ChenSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Simiao ChenSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Minqiu LinSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Ying ChenSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Shan JinSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Weiyan ChenSchool of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Yuyan ZhangSchool of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.ORCID https://orcid.org/0000-0002-2594-0918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human diseases, especially infectious ones, have been evolving constantly. However, their treatment strategies are not developing quickly. Some diseases are caused by a variety of factors with very complex pathologies, and the use of a single drug cannot solve these problems. Traditional Chinese Medicine (TCM) medication is a unique treatment method in China. TCM formulae contain multiple herbs with multitarget, multichannel, and multilink characteristics. In recent years, with the flourishing development of network pharmacology, a new method for searching therapeutic drugs has emerged. The multitarget action in network pharmacology is consistent with the complex mechanisms of disease and drug action. Using network pharmacology to understand TCM is an emerging trend.

Identifiers

PMID32148533
PMCPMC7042531

What OpenQuestion holds

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Registered 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.