Evidence map›Paper›PMID 32328128›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Discovery of Herbal Pairs Containing

Rongrong Zhou, Yan Zhu, Wei Yang, Fengrong Zhang, Junwen Wang, Runhong Yan, Shihuan Tang, Zhiyong Li

Open access · hybridAbstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. The mechanism and active compounds of semenFood & nutrition research · 2021
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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 at 4 institutions in 1 country.

Rongrong ZhouCollege of Pharmacy, Minzu University of China, Beijing 100081, China.ORCID https://orcid.org/0000-0002-0693-0407
Yan ZhuInstitute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Wei YangInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Fengrong ZhangShandong University of Traditional Chinese Medicine, Jinan 250355, China.
Junwen WangInstitute of Basic Theory of Chinese Medicine, Chinese Academy of Chinese Medicine Sciences, Beijing 100700, China.ORCID https://orcid.org/0000-0001-5460-2507
Runhong YanShanxi University of Chinese Medicine, Taiyuan 030619, China.
Shihuan TangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 10070, China.ORCID https://orcid.org/0000-0003-0589-4499
Zhiyong LiCollege of Pharmacy, Minzu University of China, Beijing 100081, China.ORCID https://orcid.org/0000-0003-3237-4317
Chinese Academy of Medical Sciences & Peking Union Medical College · CNMinzu University of China · CNShandong University of Traditional Chinese Medicine · CNShanxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese medicine (TCM) formulae can be regarded as a source of new antistroke drugs. The aim of this study was to discover herbal pairs containing

methodsA database of formulae containing TM was established. All possible herbal pairs were acquired by data mining association rules, and herbal pairs containing TM were screened according to the

resultsA total of 1903 formulae containing TM, involving 896 Chinese herbal medicines (CHMs) and 126 herbal pairs containing RG, were analyzed by association rules. A total of 27 herbal pairs were further screened according to the

conclusionThe herbal pairs of TM-CX and TM-JH obtained from data mining and the expert investigation were found to have effects of preventing and treating stroke through network pharmacology. This could be a viable approach to uncover hidden knowledge about TCM formulae and to discover herbal combinations with clinical and medicinal value based on data mining and questionnaires.

Identifiers

PMID32328128
PMCPMC7163411
OpenAlexW3014306968

What OpenQuestion holds

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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.