Evidence map›Paper›PMID 30941682›Full record

ReviewChinese journal of integrative medicine2020

Network Pharmacology in Research of Chinese Medicine Formula: Methodology, Application and Prospective.

Ting-Ting Luo, Yuan Lu, Shi-Kai Yan, Xue Xiao, Xiang-Lu Rong, Jiao Guo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Chinese journal of integrative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 334 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
334citing papers in PubMed, 2 pooled it
–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

334 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  12. Elucidating the Multi-Target Anti-Pruritic Mechanism ofCurrent issues in molecular biology · 2026
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  18. Salubrious effects ofFood & nutrition research · 2026
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  19. Article
  20. Review

274 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

6 authors.

Ting-Ting LuoInstitute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Yuan LuInstitute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Shi-Kai YanSchool of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xue XiaoInstitute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Xiang-Lu RongInstitute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
Jiao GuoInstitute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China. gyguogy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese medicine (CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.

Indexed as

Drug DiscoveryMedicine, Chinese TraditionalDrugs, Chinese HerbalDrugs, Chinese HerbalChinese medicine formulamechanism researchnetwork pharmacologyquality control researchtargets discovery

Identifiers

What OpenQuestion holds

Textmetadata
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.