Evidence map›Paper›PMID 27313651›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2016

Application of Partial Internal Transcribed Spacer Sequences for the Discrimination of Artemisia capillaris from Other Artemisia Species.

Eui Jeong Doh, Seung-Ho Paek, Guemsan Lee, Mi-Young Lee, Seung-Eun Oh

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. KoreanFrontiers in pharmacology · 2026
    Review
  2. Molecules (Basel, Switzerland) · 2021
    Article
  3. Article
  4. Article
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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

5 authors at 3 institutions in 1 country.

Eui Jeong DohDivision of Biological Sciences, Konkuk University, Seoul 143-701, Republic of Korea.
Seung-Ho PaekDivision of Biological Sciences, Konkuk University, Seoul 143-701, Republic of Korea.
Guemsan LeeDepartment of Herbology, Wonkwang University, Iksan 570-749, Republic of Korea.
Mi-Young LeeKorea Institute of Oriental Medicine, Daejeon 305-811, Republic of Korea.
Seung-Eun OhDivision of Biological Sciences, Konkuk University, Seoul 143-701, Republic of Korea.
Konkuk University · KRKorea Institute of Oriental Medicine · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several Artemisia species are used as herbal medicines including the dried aerial parts of Artemisia capillaris, which are used as Artemisiae Capillaris Herba (known as "Injinho" in Korean medicinal terminology and "Yin Chen Hao" in Chinese). In this study, we developed tools for distinguishing between A. capillaris and 11 other Artemisia species that grow and/or are cultured in China, Japan, and Korea. Based on partial nucleotide sequences in the internal transcribed spacer (ITS) that differ between the species, we designed primers to amplify a DNA marker for A. capillaris. In addition, to detect other Artemisia species that are contaminants of A. capillaris, we designed primers to amplify DNA markers of A. japonica, A. annua, A. apiacea, and A. anomala. Moreover, based on random amplified polymorphic DNA analysis, we confirmed that primers developed in a previous study could be used to identify Artemisia species that are sources of Artemisiae Argyi Folium and Artemisiae Iwayomogii Herba. By using these primers, we found that multiplex polymerase chain reaction (PCR) was a reliable tool to distinguish between A. capillaris and other Artemisia species and to identify other Artemisia species as contaminants of A. capillaris in a single PCR.

Identifiers

PMID27313651
PMCPMC4904105
OpenAlexW2417175653

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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.