Evidence map›Paper›PMID 16810764›Full record

ArticleWorld journal of gastroenterology2006

In vitro screening of traditionally used medicinal plants in China against enteroviruses.

Jin-Peng Guo, Ji Pang, Xin-Wei Wang, Zhi-Qiang Shen, Min Jin, Jun-Wen Li

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
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  3. Review
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  6. A Review of theMolecules (Basel, Switzerland) · 2020
    Review
  7. Article
  8. Screen for Potential Candidate Alternatives ofInternational journal of molecular sciences · 2019
    Article
  9. Isolation of Strong Antioxidants fromAntioxidants (Basel, Switzerland) · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A survey of chinese medicinal herbal treatment for chemotherapy-induced oral mucositis.Evidence-based complementary and alternative medicine : eCAM · 2013
    Review
  19. Article
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.

Jin-Peng GuoDepartment of Environment and Health, Institute of Environment and Health, 1 Dali Road, Tianjin 300050, China.
Ji Pang
Xin-Wei Wang
Zhi-Qiang Shen
Min Jin
Jun-Wen Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo search for new antiviral agents from traditional Chinese medicine, specifically anti-enteroviruses agents.

methodsThe aqueous extracts (AE) of more than 100 traditionally used medicinal plants in China were evaluated for their in vitro anti-Coxsackie virus B3 activities with a MTT-based colorimetric assay.

resultsThe test for AE of 16 plants exhibited anti-Coxsackie virus B3 activities at different magnitudes of potency. They can inhibit three steps (inactivation, adsorption and replication) during the infection. Among the 16 plants, Sargentodoxa cuneata (Oliv.) Rehd. et Wils., Sophora tonkinensis Gapnep., Paeonia veitchii Lynch, Spatholobus suberectus Dunn. and Cyrtomium fortunei J. sm. also have activity against other enterovirus, including Coxsackie virus B5, Polio virus I, Echo virus 9 and Echo virus 29. Cell cytotoxic assay demonstrated that all tested AE had CC50 values higher than their EC50 values.

conclusionThe sixteen traditionally used medicinal plants in China possessed antiviral activity, and some of them merit further investigations.

Indexed as

Drugs, Chinese HerbalDryopteridaceaeEnterovirusEnterovirus B, HumanFabaceaeInhibitory Concentration 50Microbial Sensitivity TestsNymphaeaceaePaeoniaSophoraDrugs, Chinese Herbal

Identifiers

PMID16810764
PMCPMC4087726

What OpenQuestion holds

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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.