Evidence map›Paper›PMID 37970326›Full record

ReviewJournal of lifestyle medicine2023

Effect of Daily Coffee Consumption on the Risk of Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Irin Sultana Nila, Vanina Myuriel Villagra Moran, Zeeshan Ahmad Khan, Yonggeun Hong

Abstract readReview
In one paragraph

Review in Journal of lifestyle medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Neurotransmitter Systems in Alzheimer's Disease.Current issues in molecular biology · 2026
    Review
  3. Article
  4. Review
  5. Coffee as a Source of Antioxidants and an Elixir of Youth.Antioxidants (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

4 authors.

Irin Sultana NilaInstitute of Digital Anti-aging Healthcare, Graduate School of Inje University, Gimhae, Republic of Korea.ORCID https://orcid.org/0000-0003-2792-2139
Vanina Myuriel Villagra MoranBiohealth Products Research Center, Inje University, Gimhae, Republic of Korea.ORCID https://orcid.org/0000-0003-0680-757X
Zeeshan Ahmad KhanBiohealth Products Research Center, Inje University, Gimhae, Republic of Korea.ORCID https://orcid.org/0000-0002-0737-0253
Yonggeun HongInstitute of Digital Anti-aging Healthcare, Graduate School of Inje University, Gimhae, Republic of Korea.ORCID https://orcid.org/0000-0003-1288-0546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a highly prevalent neurodegenerative disorder that affects millions of individuals globally. The identification of the lifestyle factors that potentially help prevent or postpone disease onset is of interest to the researchers. Although the study results are inconsistent, one such factor that has been extensively studied is coffee consumption. Therefore, this meta-analysis primarily aimed to investigate the effects of coffee consumption on the risk of AD. Pubmed, Embase, and Web of Science (Only Writing Web of Science is Fine) databases were searched for relevant studies with the keywords in various combinations, including "coffee", "caffeine", and "Alzheimer's disease". This meta-analysis included 11 studies. The relative risk (RR) with 95% confidence intervals (CI) was calculated to estimate the effect size. The study used the restricted maximum-likelihood method for a generic-inverse-variance analysis with random-effect (when heterogeneity, I

Indexed as

Alzheimer diseaseCaffeineCoffeeMeta-analysisRiskSystematic review

Identifiers

PMID37970326
PMCPMC10630722

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.