Evidence map›Paper›PMID 32024485›Full record

SynthesisBMC cancer2020

Coffee drinking and cancer risk: an umbrella review of meta-analyses of observational studies.

Long-Gang Zhao, Zhuo-Ying Li, Guo-Shan Feng, Xiao-Wei Ji, Yu-Ting Tan, Hong-Lan Li, Marc J Gunter, Yong-Bing Xiang

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 6 pooled it
7.9field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 6 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  5. Coffee Consumption and Cancer Risk: An Assessment of the Health Implications Based on Recent Knowledge.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2021
    Pooled it
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  13. Decaffeinated coffee consumption and risk of total and site-specific cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2025
    Article
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  16. Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
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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 at 2 institutions in 2 countries.

Long-Gang ZhaoState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhuo-Ying LiState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Guo-Shan FengState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiao-Wei JiState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yu-Ting TanState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hong-Lan LiState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Marc J GunterSection of Nutrition and Metabolism, International Agency for Research on Cancer, 150, cours Albert Thomas F-69372, Cedex 08, Lyon, France.
Yong-Bing XiangState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. ybxiang@shsci.org.ORCID http://orcid.org/0000-0002-3840-9915
Renji Hospital · CNCentre international de recherche sur le cancer · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundEpidemiological studies on the association between coffee intake and cancer risk have yielded inconsistent results. To summarize and appraise the quality of the current evidence, we conducted an umbrella review of existing findings from meta-analyses of observational studies.

methodsWe searched PubMed, Embase, Web of Science and the Cochrane database to obtain systematic reviews and meta-analyses of associations between coffee intake and cancer incidence. For each association, we estimated the summary effect size using the fixed- and random-effects model, the 95% confidence interval, and the 95% prediction interval. We also assessed heterogeneity, evidence of small-study effects, and excess significance bias.

resultsTwenty-eight individual meta-analyses including 36 summary associations for 26 cancer sites were retrieved for this umbrella review. A total of 17 meta-analyses were significant at P ≤ 0.05 in the random-effects model. For the highest versus lowest categories, 4 of 26 associations had a more stringent P value (P ≤ 10

conclusionsThere is highly suggestive evidence for an inverse association between coffee intake and risk of liver and endometrial cancer. Further research is needed to provide more robust evidence for cancer at other sites.

Indexed as

BeveragesBiasCoffeeEndometrial NeoplasmsFemaleHumansIncidenceLiver NeoplasmsMaleMeta-Analysis as TopicSample SizeCoffeeCancerCoffeeGrading evidenceObservational studiesUmbrella review

Identifiers

PMID32024485
PMCPMC7003434
OpenAlexW3006946535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.