Evidence map›Paper›PMID 19308337›Full record

SynthesisJournal of general internal medicine2009

Tea consumption and risk of type 2 diabetes: a meta-analysis of cohort studies.

Yali Jing, Guanjun Han, Yun Hu, Yan Bi, Lirong Li, Dalong Zhu

Open access · bronzeAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in Journal of general internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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  15. The Intrinsic Virtues of EGCG, anMolecules (Basel, Switzerland) · 2020
    Review
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  17. Occurrence and Risk of Metal(loid)s inPlants (Basel, Switzerland) · 2019
    Article
  18. Article
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  20. Role ofNutrition & metabolism · 2019
    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

6 authors at 2 institutions in 1 country.

Yali JingDepartment of Endocrinology, Drum Tower Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Guanjun Han
Yun Hu
Yan Bi
Lirong Li
Dalong Zhu
Nanjing Drum Tower Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTea consumption has been extensively studied in relation to various diseases, several epidemiologic studies have been performed to investigate the association of tea consumption with type 2 diabetes; however, the results of these studies were not entirely consistent.

objectiveTo conduct a meta-analysis of studies that assessed the association of tea consumption and the risk of type 2 diabetes. RESEARCH DESIGN AND

methodsWe performed a systematic literature search through November 2008 in PUBMED, MEDLINE, EMBASE, and Cochrane Database of Systematic Reviews. The search was limited to English-language studies. Studies were excluded if they were type 1 diabetes, animal studies. Nine cohort studies were identified by two authors, and summary relative risks (RRs) were calculated using a random-effects model.

resultsWe identified nine cohort studies, including 324,141 participants and 11,400 incident cases of type 2 diabetes with follow-up ranging from 5 to 18 years. The summary adjusted RR did not show that tea consumption was associated with a reduced type 2 diabetes risk (RR, 0.96; 95% confidence interval (CI), 0.92-1.01). Evidence from the results of our stratified analyses revealed that tea consumption > or =4 cups per day (RR, 0.8; 95% CI, 0.7-0.93) might play a role in the prevention of type 2 diabetes. However, no statistically significant association was observed for sex and the follow-up durations stratified between tea consumption and type 2 diabetes.

conclusionsThis meta-analysis indicates that tea consumption > or =4 cups per day may lower the risk of type 2 diabetes.

Indexed as

TeaAdultAgedAged, 80 and overCohort StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRisk FactorsTea

Identifiers

PMID19308337
PMCPMC2669862
OpenAlexW2006357714

What OpenQuestion holds

Textmetadata
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.