Evidence map›Paper›PMID 34209247›Full record

SynthesisMolecules (Basel, Switzerland)2021

Anti-Influenza with Green Tea Catechins: A Systematic Review and Meta-Analysis.

Anchalee Rawangkan, Kirati Kengkla, Sukrit Kanchanasurakit, Acharaporn Duangjai, Surasak Saokaew

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

5 authors at 2 institutions in 2 countries.

Anchalee RawangkanSchool of Medical Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0003-1620-756X
Kirati KengklaDivision of Pharmacy Practice, Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao 56000, Thailand.
Sukrit KanchanasurakitDivision of Pharmacy Practice, Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-1268-2665
Acharaporn DuangjaiSchool of Medical Sciences, University of Phayao, Phayao 56000, Thailand.
Surasak SaokaewUnit of Excellence on Clinical Outcomes Research and IntegratioN (UNICORN), School of Pharmaceutical Sciences, University of Phayao, Phayao 56000, Thailand.
University of Phayao · THMonash University Malaysia · MY

Funding

Unit of Excellence on Clinical Outcomes Research and IntegratioN (UNICORN), University of Phayao FF64-UoE003
6 · The paper itself

Abstract

Influenza is one of the most serious respiratory viral infections worldwide. Although several studies have reported that green tea catechins (GTCs) might prevent influenza virus infection, this remains controversial. We performed a systematic review and meta-analysis of eight studies with 5,048 participants that examined the effect of GTC administration on influenza prevention. In a random-effects meta-analysis of five RCTs, 884 participants treated with GTCs showed statistically significant effects on the prevention of influenza infection compared to the control group (risk ratio (RR) 0.67, 95%CIs 0.51-0.89,

Indexed as

Antiviral AgentsCatechinClinical Trials as TopicHumansInfluenza, HumanPlant ExtractsTeaAntiviral AgentsCatechinPlant ExtractsTeaEGCGgreen tea catechinsinfluenzameta-analysis

Identifiers

PMID34209247
PMCPMC8272076
OpenAlexW3175424497

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.