Evidence map›Paper›PMID 35281810›Full record

ArticleFrontiers in genetics2022

A Mild Causal Relationship Between Tea Consumption and Obesity in General Population: A Two-Sample Mendelian Randomization Study.

Cancan Li, Mingyun Niu, Zheng Guo, Pengcheng Liu, Yulu Zheng, Di Liu, Song Yang, Wei Wang, Yuanmin Li, Haifeng Hou

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
–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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

10 authors.

Cancan LiSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
Mingyun NiuThe Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Zheng GuoCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.
Pengcheng LiuSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.
Yulu ZhengCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.
Di LiuBeijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
Song YangDepartment of Endocrinology, Taian City Central Hospital, Taian, China.
Wei WangCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.
Yuanmin LiThe Second Affiliated Hospital of Shandong First Medical University, Taian, China.
Haifeng HouSchool of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence from observational studies for the effect of tea consumption on obesity is inconclusive. This study aimed to verify the causal association between tea consumption and obesity through a two-sample Mendelian randomization (MR) analysis in general population-based datasets. The genetic instruments, single nucleotide polymorphisms (SNPs) associated with tea consumption habits, were obtained from genome-wide association studies (GWAS): UK Biobank, Nurses' Health Study, Health Professionals Follow-up Study, and Women's Genome Health Study. The effect of the genetic instruments on obesity was analyzed using the UK Biobank dataset (among ∼500,000 participants). The causal relationship between tea consumption and obesity was analyzed by five methods of MR analyses: inverse variance weighted (IVW) method, MR-Egger regression method, weighted median estimator (WME), weighted mode, and simple mode. Ninety-one SNPs were identified as genetic instruments in our study. A mild causation was found by IVW (odds ratio [OR] = 0.998, 95% confidence interval [CI] = 0.996 to 1.000,

Indexed as

causal associationmendelian randomization analysisobesitysingle nucleotide polymorphismtea consumption

Identifiers

PMID35281810
PMCPMC8907656

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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.