Evidence map›Paper›PMID 35039809›Full record

ArticleClinical nutrition open science2022

Green tea consumption and SARS-CoV-2 infection among staff of a referral hospital in Japan.

Akiko Nanri, Shohei Yamamoto, Maki Konishi, Norio Ohmagari, Tetsuya Mizoue

Abstract read
In one paragraph

Article in Clinical nutrition open science, 2022. 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
–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

6 citing papers in PubMed.

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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.

Akiko NanriDepartment of Food and Health Sciences, International College of Arts and Sciences, Fukuoka Women's University, 1-1-1 Kasumigaoka, Higashi-ku, Fukuoka, 813-8529, Japan.
Shohei YamamotoDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Maki KonishiDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimThis study examined the association between green tea consumption and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among Japanese.

methodsParticipants were staff of a large referral hospital in Tokyo. Green tea consumption was ascertained via a questionnaire. SARS-CoV-2 infection was identified through in-house records of PCR-confirmed COVID-19 cases or antibody tests. Multiple logistic regression was used to estimate the odds ratio of SARS-CoV-2 infection according to green tea consumption.

resultsOf 2640 participants (767 men and 1873 women; aged 21-75 years), 74 (2.8%) were confirmed or suspected to have been infected with SARS-CoV-2 during the epidemic. Overall, SARS-CoV-2 infection was not significantly associated with green tea consumption. There was a suggestion of a decrease in the odds of this infection associated with green tea consumption of ≥4 cups/day (odds ratio 0.51, 95% confidence interval 0.20-1.31).

conclusionsGreen tea consumption was not appreciably associated with the risk of SARS-CoV-2 infection. A lower odds of infection among those who consumed high green tea consumption deserves further investigation.

Indexed as

Coronavirus diseaseGreen teaJapaneseSARS-CoV-2

Identifiers

PMID35039809
PMCPMC8755646

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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.