Evidence map›Paper›PMID 29339972›Full record

ArticleJournal of biological engineering2018

Evaluation of green tea extract as a safe personal hygiene against viral infections.

Yun Ha Lee, Yo Han Jang, Young-Seok Kim, Jinku Kim, Baik Lin Seong

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 59 citations in OpenAlex.

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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 2 institutions in 1 country.

Yun Ha Lee *Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, South Korea.
Yo Han Jang *Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, South Korea.
Young-Seok KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, South Korea.
Jinku KimDepartment of Biological and Chemical Engineering, College of Science and Technology, Hongik University, Sejong, South Korea.ORCID 0000-0002-8379-7208
Baik Lin SeongDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, South Korea.
Yonsei University · KRHongik University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViral infections often pose tremendous public health concerns as well as economic burdens. Despite the availability of vaccines or antiviral drugs, personal hygiene is considered as effective means as the first-hand measure against viral infections. The green tea catechins, in particular, epigallocatechin-3-gallate (EGCG), are known to exert potent antiviral activity. In this study, we evaluated the green tea extract as a safe personal hygiene against viral infections.

resultsUsing the influenza virus A/Puerto Rico/8/34 (H1N1) as a model, we examined the duration of the viral inactivating activity of green tea extract (GTE) under prolonged storage at various temperature conditions. Even after the storage for 56 days at different temperatures, 0.1% GTE completely inactivated 10

conclusionsThe durability of antiviral effects of GTE was examined as solution type and powder types over extended periods at various temperature conditions using human influenza A/H1N1 virus. GTE with supplements demonstrated potent viral inactivating activity, resulting in greater than 4 log

Indexed as

AntioxidantAntiviralCatechinsGreen tea extractInfluenza virus

Identifiers

PMID29339972
PMCPMC5759362
OpenAlexW2782860618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.