Evidence mapPaperPMID 33118010Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2021

The Association Between Coffee Consumption and Metabolic Syndrome in Adults: A Systematic Review and Meta-Analysis.

Tommy H T Wong, Chi Ho Wong, Xiaoyu Zhang, Yunpeng Zhou, Jinfeng Xu, Kam Chuen Yuen, Jennifer M F Wan, Jimmy C Y Louie

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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  10. Review
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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

8 authors.

Tommy H T WongSchool of Biological Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Chi Ho WongSchool of Biological Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Xiaoyu ZhangDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Yunpeng ZhouDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Jinfeng XuDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Kam Chuen YuenDepartment of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Jennifer M F WanSchool of Biological Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Jimmy C Y LouieSchool of Biological Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.ORCID 0000-0001-7736-605X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous meta-analyses that found an inverse association between coffee consumption and metabolic syndrome pooled data from cross-sectional and longitudinal studies, which could lead to potentially misleading conclusions. Hence, this work aimed to reassess this association by analyzing data from the 2 types of studies separately and including recent studies. Online databases including PubMed, Scopus, Embase, The Cumulative Index to Nursing and Allied Health Literature (CINAHL) Plus, and Science Direct were searched for relevant studies published up to July 2020. Both cross-sectional and longitudinal studies were included if published after 1999, reported both effect estimates and CIs, and presented results adjusted for confounding variables. Data of the highest coffee consumption level in each study, as well as those of medium consumption levels in studies with ≥3 consumption categories, were pooled using random-effect models, with sex-stratified and sex-adjusted results being analyzed separately. Results were obtained based on data from 13 cross-sectional studies involving 280,803 participants and 2 longitudinal studies involving 17,014 participants. The overall sex-adjusted association of the highest consumption level was not significant (n = 9 studies; OR: 0.88; 95% CI: 0.70, 1.10; I2: 91.5%) and the 2 longitudinal studies both yielded no association. Subgroup analysis revealed inverse associations in both males and females, as well as in Caucasians with medium coffee consumption (n = 4 studies, OR: 0.88; 95% CI: 0.84, 0.93; I2: 0%). Although residual confounding could affect the results of this meta-analysis, our findings suggested with a low certainty that coffee consumption may not be associated with metabolic syndrome, a finding that is different from those of previous meta-analyses and could be due to variation in characteristics of study participants. More longitudinal studies are also needed to further assess the temporal association between coffee consumption and metabolic syndrome. This meta-analysis was registered at https://www.crd.york.ac.uk/prospero as CRD42018110650.

Indexed as

CoffeeMetabolic SyndromeAdultCross-Sectional StudiesFemaleHumansMaleRisk FactorsCoffeeadultAsianCaucasiancoffeemeta-analysismetabolic syndrome

Identifiers

PMID33118010
PMCPMC8166542

What Socratic 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 Socratic graph.