Observational studyOncotarget2016
Low-dose green tea intake reduces incidence of atrial fibrillation in a Chinese population.
Observational study in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Tea consumption and cardiovascular risk and outcomes: mechanistic insights, epidemiological evidence, and clinical implications.Frontiers in cardiovascular medicine · 2026Review
- Association between the dietary index for gut microbiota and metabolic syndrome in adults: the mediating role of body mass index.Frontiers in nutrition · 2025Article
- Unraveling tea and coffee consumption effects on cardiovascular diseases risk factors: A narrative review.Health science reports · 2024Article
- Free Radicals and Obesity-Related Chronic Inflammation Contrasted by Antioxidants: A New Perspective in Coronary Artery Disease.Metabolites · 2023Review
- Atrial fibrillation: primary prevention, secondary prevention, and prevention of thromboembolic complications: part 1.Frontiers in cardiovascular medicine · 2023Review
- No causal association between tea consumption and 7 cardiovascular disorders: A two-sample Mendelian randomization study.Frontiers in genetics · 2022Article
- Causal relationship between tea intake and cardiovascular diseases: A Mendelian randomization study.Frontiers in nutrition · 2022Article
- No causal effect of tea consumption on cardiovascular diseases: A two-sample Mendelian randomization study.Frontiers in cardiovascular medicine · 2022Article
- A review on plants and herbal components with antiarrhythmic activities and their interaction with current cardiac drugs.Journal of traditional and complementary medicine · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the present study was to assessthe association between green tea intake and incidence of atrial fibrillation (AF) in a Chinese population. A total of 801 (mean age: 62 years; 56% male) subjects were enrolled: 401 AF patients and 400 controls. All subjects completed a questionnaire and the associations between their green tea drinking habits and incidence of AF were assessed using the odds ratio (OR) and binary logistic regression. After multivariate adjustment, green tea intake presented as a protective factor against the incidence of AF (OR: 0.349, 95% CI: 0.253-0.483, P < 0.001). The green tea protection showed downward trend with increasing green tea intake (P for the trend= 0.001). Low frequency, low concentration, short-term tea consumption was classified as low-dose green tea intake. Green tea intake decreased the incidence of both paroxysmal AF (OR: 0.307, 95% CI: 0.216-0.436, P < 0.001) and persistent AF (OR: 0.355, 95% CI: 0.261-0.482, P < 0.001) and may be associated with a decreased incidence of AF. This study suggests that low-dose green tea intake strongly protects against AF.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.