Evidence map›Paper›PMID 31412658›Full record

ArticleBiomolecules2019

The Methodological Trends of Traditional Herbal Medicine Employing Network Pharmacology.

Won-Yung Lee, Choong-Yeol Lee, Youn-Sub Kim, Chang-Eop Kim

Abstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 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

84 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Yiqi Yangyin Tongluo Recipe Alleviates Diabetic Kidney Disease Through AGE-RAGE Signalling Axis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
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  14. Investigation ofFrontiers in pharmacology · 2025
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24 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

4 authors.

Won-Yung LeeDepartment of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea.
Choong-Yeol LeeDepartment of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea.
Youn-Sub KimDepartment of Anatomy-Pointology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea. ysk5708@hanmail.net.
Chang-Eop KimDepartment of Physiology, College of Korean Medicine, Gachon University, Seongnam 13120, Korea. eopchang@gachon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products, including traditional herbal medicine (THM), are known to exert their therapeutic effects by acting on multiple targets, so researchers have employed network pharmacology methods to decipher the potential mechanisms of THM. To conduct THM-network pharmacology (THM-NP) studies, researchers have employed different tools and databases for constructing and analyzing herb-compound-target networks. In this study, we attempted to capture the methodological trends in THM-NP research. We identified the tools and databases employed to conduct THM-NP studies and visualized their combinatorial patterns. We also constructed co-author and affiliation networks to further understand how the methodologies are employed among researchers. The results showed that the number of THM-NP studies and employed databases/tools have been dramatically increased in the last decade, and there are characteristic patterns in combining methods of each analysis step in THM-NP studies. Overall, the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was the most frequently employed network pharmacology database in THM-NP studies. Among the processes involved in THM-NP research, the methodology for constructing a compound-target network has shown the greatest change over time. In summary, our analysis describes comprehensive methodological trends and current ideas in research design for network pharmacology researchers.

Indexed as

Systems AnalysisBiological ProductsDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalBiological ProductsDrugs, Chinese Herbalmethodological trendnetwork pharmacologytraditional herbal medicine

Identifiers

PMID31412658
PMCPMC6723118

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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.