Evidence map›Paper›PMID 32742921›Full record

ArticleIntegrative medicine research2020

Identification of candidate medicinal herbs for skincare via data mining of the classic

Gayoung Cho, Hyo-Min Park, Won-Mo Jung, Woong-Seok Cha, Donghun Lee, Younbyoung Chae

Open access · goldAbstract read
In one paragraph

Article in Integrative medicine research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  4. Chemical and Biological Characteristics ofMolecules (Basel, Switzerland) · 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

6 authors at 4 institutions in 1 country.

Gayoung ChoDepartment of Medical History, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Hyo-Min ParkAmore Pacific Research and Development Center, Yongin, Republic of Korea.
Won-Mo JungAcupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Woong-Seok ChaDepartment of Medical History, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Donghun LeeDepartment of Herbal Pharmacology, College of Korean Medicine, Gachon University, Seongnam, Republic of Korea.
Younbyoung ChaeAcupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
Kyung Hee University · KRKyung Hee University Medical Center · KRAmorepacific (South Korea) · KRGachon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKorean cosmetics are widely exported throughout Asia. Cosmetics exploiting traditional Korean medicine lead this trend; thus, the traditional medicinal literature has been invaluable in terms of cosmetic development. We sought candidate medicinal herbs for skincare.

methodsWe used data mining to investigate associations between medicinal herbs and skin-related keywords (SRKs) in a classical text. We selected 26 SRKs used in the Donguibogam text; these referred to 626 medicinal herbs. Using a term frequency-inverse document frequency approach, we extracted data on herbal characteristics by assessing the co-occurrence frequencies of 52 medicinal herbs and the 26 SRKs.

resultsWe extracted the characteristics of the 52 herbs, each of which exhibited a distinct skin-related action profile. For example Ginseng Radix was associated at a high-level with tonification and anti-aging, but Rehmanniae Radix exhibited a stronger association with anti-aging. Of the 52 herbs, 46 had been subjected to at least one modern study on skincare-related efficacy.

conclusionsWe made a comprehensive list of candidate medicinal herbs for skincare

Indexed as

Cosmetic developmentData miningSkincareTraditional herbal medicine

Identifiers

PMID32742921
PMCPMC7388188
OpenAlexW3033337746

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.