Evidence map›Paper›PMID 40525136›Full record

SynthesisFrontiers in nutrition2025

Coffee and tea consumption and cardiovascular disease and all-cause and cause-specific mortality in individuals with diabetes mellitus: a meta-analysis of prospective observational studies.

Li Ding, Hai-Peng Wang, Jun-Yu Zhao, Xin Zhao, Yu Sha, Li-Qiang Qin, Khemayanto Hidayat

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
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

7 authors.

Li DingDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.
Hai-Peng WangDepartment of Cardiovascular, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jun-Yu ZhaoSchool of Medicine, Jiangsu University, Zhenjiang, China.
Xin ZhaoDepartment of Cardiovascular, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yu ShaDepartment of Medical Technology, Suzhou Vocational Health College, Suzhou, China.
Li-Qiang QinDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.
Khemayanto HidayatDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individuals with diabetes mellitus (DM) are more likely to develop cardiovascular disease (CVD) and die prematurely than those without this condition. Coffee or tea consumption has been linked with lower risks of developing CVD and premature death in general populations. A meta-analysis of published prospective observational studies was performed to provide up-to-date evidence on the association between tea or coffee consumption and the risks of CVD and all-cause and cause-specific mortality in individuals with DM. Methods: The PubMed, Web of Science, Cochrane Library and Embase databases were searched. A Random-effects model was used to estimate the pooled hazard ratios (HRs) and 95% confidence intervals (CIs). Results: Compared with the lowest consumption category, the highest coffee consumption was associated with lower risks of all-cause mortality (HR 0.82, 95%CI 0.73, 0.91; Conclusion: Daily coffee or tea consumption may be associated with lower risks of CVD and death, particularly from CVD, among individuals with DM. However, However, due to the observational design, methodological limitations, and low to moderate certainty, these findings should be interpreted cautiously.

Indexed as

coffeeCVDdiabetes mellitusdose-responsemeta-analysismortalitytea

Identifiers

PMID40525136
PMCPMC12168468

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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.