Evidence map›Paper›PMID 33333105›Full record

ArticleOphthalmology2021

Intraocular Pressure, Glaucoma, and Dietary Caffeine Consumption: A Gene-Diet Interaction Study from the UK Biobank.

Jihye Kim, Hugues Aschard, Jae H Kang, Marleen A H Lentjes, Ron Do, Janey L Wiggs, Anthony P Khawaja, Louis R Pasquale, Modifiable Risk Factors for Glaucoma Collaboration

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  18. Lung Function as a Biomarker for Glaucoma: The UK Biobank Study.Investigative ophthalmology & visual science · 2025
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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

9 authors at 6 institutions in 4 countries.

Jihye KimDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Electronic address: jihyekim@hsph.harvard.edu.
Hugues AschardDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Computational Biology, Institute Pasteur, Paris, France.
Jae H KangChanning Division of Network Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, Massachusetts.
Marleen A H LentjesSchool of Medical Sciences, Örebro University, Campus USÖ, Örebro, Sweden.
Ron DoDepartment of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York.
Janey L WiggsDepartment of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Anthony P KhawajaNIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Modifiable Risk Factors for Glaucoma Collaboration
Harvard University · USIcahn School of Medicine at Mount Sinai · USBrigham and Women's Hospital · USMassachusetts Eye and Ear Infirmary · USMoorfields Eye Hospital · GBÖrebro University · SE

Funding

Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/T040912/1NEI NIH HHS R01 EY015473
6 · The paper itself

Abstract

purposeWe examined the association of habitual caffeine intake with intraocular pressure (IOP) and glaucoma and whether genetic predisposition to higher IOP modified these associations. We also assessed whether genetic predisposition to higher coffee consumption was related to IOP.

designCross-sectional study in the UK Biobank.

participantsWe included 121 374 participants (baseline ages, 39-73 years) with data on coffee and tea intake (collected 2006-2010) and corneal-compensated IOP measurements in 2009. In a subset of 77 906 participants with up to 5 web-based 24-hour-recall food frequency questionnaires (2009-2012), we evaluated total caffeine intake. We also assessed the same relationships with glaucoma (9286 cases and 189 763 controls).

methodsWe evaluated multivariable-adjusted associations with IOP using linear regression and with glaucoma using logistic regression. For both outcomes, we examined gene-diet interactions using a polygenic risk score (PRS) that combined the effects of 111 genetic variants associated with IOP. We also performed Mendelian randomization using 8 genetic variants associated with coffee intake to assess potential causal effects of coffee consumption on IOP.

main outcome measuresIntraocular pressure and glaucoma.

resultsMendelian randomization analysis did not support a causal effect of coffee drinking on IOP (P > 0.1). Greater caffeine intake was associated weakly with lower IOP: the highest (≥232 mg/day) versus lowest (<87 mg/day) caffeine consumption was associated with a 0.10-mmHg lower IOP (P

conclusionsHabitual caffeine consumption was associated weakly with lower IOP, and the association between caffeine consumption and glaucoma was null. However, among participants with the strongest genetic predisposition to elevated IOP, greater caffeine consumption was associated with higher IOP and higher glaucoma prevalence.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBiological Specimen BanksCaffeineCross-Sectional StudiesFemaleFollow-Up StudiesGlaucomaHumansIntraocular PressureMaleMendelian Randomization AnalysisMiddle AgedProspective StudiesRisk FactorsCaffeineCaffeineCoffeeGenetic riskGlaucomaIntraocular pressurePolygenic risk scoreTea

Identifiers

PMID33333105
PMCPMC8154631
OpenAlexW3110685552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.