Evidence map›Paper›PMID 42103717›Full record

ReviewNutrition & diabetes2026

Global trends in tea and diabetes research: a bibliometric analysis of literature from 2000 to 2024.

Yao Zhang, Rui Ren, Liying Wang, Jilong Bai, Jinyan Liu, Wenxu Wang, Yanan Ma, Na Li, Difei Wang

Abstract readReview
In one paragraph

Review in Nutrition & diabetes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yao Zhang *Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Rui Ren *Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Liying WangDepartment of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Jilong BaiDepartment of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Jinyan LiuDepartment of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China.
Wenxu WangDepartment of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China.ORCID 0009-0007-3014-512X
Yanan MaKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China. ynma@cmu.edu.cn.
Na LiDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. nli@cmu.edu.cn.
Difei WangDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. dfwang@cmu.edu.cn.ORCID 0000-0002-1118-658X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea has attracted significant attention for its potential antidiabetic properties, primarily attributed to its bioactive compounds such as polyphenols. This study aims to systematically evaluate the global research landscape and emerging trends in tea and diabetes. Publications were retrieved from the Web of Science Core Collection and analyzed using bibliometric tools, including VOSviewer, RStudio, and CiteSpace. A total of 2634 publications from 103 countries/regions (2000-2024) were included, with an annual growth rate of 12.25%. China, the United States, and Japan were the leading contributors. Harvard University and Gan RY were the most influential institution and author, respectively, while Nutrients was the leading journal. Research themes have evolved from early mechanistic studies focusing on antioxidant and anti-inflammatory properties of tea polyphenols to more integrative investigations involving gut microbiota, inflammation, and metabolic regulation. Research on tea and diabetes has shifted toward a more comprehensive and translational framework. Tea polyphenols play important roles in improving insulin sensitivity, reducing oxidative stress and inflammation, and modulating metabolic pathways, although challenges such as low bioavailability remain. These findings provide valuable insights into the current research landscape and may inform future studies on diabetes prevention and management.

Indexed as

BibliometricsBiomedical ResearchDiabetes MellitusHypoglycemic AgentsTeaAntioxidantsHumansOxidative StressPolyphenolsAntioxidantsHypoglycemic AgentsPolyphenolsTea

Identifiers

PMID42103717
PMCPMC13323750

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.