Evidence map›Paper›PMID 35500606›Full record

ArticleOphthalmology2022

The Association between Serum Lipids and Intraocular Pressure in 2 Large United Kingdom Cohorts.

Kian M Madjedi, Kelsey V Stuart, Sharon Y L Chua, Robert N Luben, Alasdair Warwick, Louis R Pasquale, Jae H Kang, Janey L Wiggs, Marleen A H Lentjes, Hugues Aschard and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.3field-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

25 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Serum Lipids and Glaucoma.Journal of atherosclerosis and thrombosis · 2026
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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

14 authors at 9 institutions in 5 countries.

Kian M MadjediNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; Department of Ophthalmology, University of Calgary, Calgary, Canada. Electronic address: kian.madjedi1@ucalgary.ca.
Kelsey V StuartNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom.
Sharon Y L ChuaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom.
Robert N LubenNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Alasdair WarwickUCL Institute of Cardiovascular Science, University College London, London, United Kingdom.
Louis R PasqualeDepartment of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York.
Jae H KangBrigham and Women's Hospital / Harvard Medical School, Boston, Massachusetts.
Janey L WiggsDepartment of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Marleen A H LentjesClinical Epidemiology and Biostatistics/Nutrient Gut-Brain Interaction, Örebro University, Örebro, Sweden.
Hugues AschardInstitute Pasteur, Paris, France.
Naveed SattarBHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Paul J FosterNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom.
Anthony P KhawajaNIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Modifiable Risk Factors for Glaucoma Collaboration and the UK Biobank Eye and Vision Consortium
Moorfields Eye Hospital NHS Foundation Trust · GBSt Thomas' Hospital · GBHarvard University · USBrigham and Women's Hospital · USIcahn School of Medicine at Mount Sinai · USInstitut Pasteur · FRÖrebro University · SEUniversity College London · GBUniversity of Glasgow · GB

Funding

Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
Understanding the clinical impact of cumulative genetic risk to glaucomaR01EY032559 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Louis Robert Pasquale, Janey L Wiggs · 2021 to 2026
$4.3M
Cancer Research UK 14136Cancer Research UK C864/A8257Cancer Research UK G9502233Department of HealthMedical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/N003284/1Medical Research Council MR/T019050/1Medical Research Council MR/T040912/1Medical Research Council SP2024/0201NEI NIH HHS R01 EY015473NEI NIH HHS R01 EY032559Wellcome TrustWellcome Trust 220558/Z/20/Z
6 · The paper itself

Abstract

purposeSerum lipids are modifiable, routinely collected blood test features associated with cardiovascular health. We examined the association of commonly collected serum lipid measures (total cholesterol [TC], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and triglycerides) with intraocular pressure (IOP).

designCross-sectional study in the UK Biobank and European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohorts.

participantsWe included 94 323 participants from the UK Biobank (mean age, 57 years) and 6230 participants from the EPIC-Norfolk (mean age, 68 years) cohorts with data on TC, HDL-C, LDL-C, and triglycerides collected between 2006 and 2009.

methodsMultivariate linear regression adjusting for demographic, lifestyle, anthropometric, medical, and ophthalmic covariables was used to examine the associations of serum lipids with corneal-compensated IOP (IOPcc).

main outcome measuresCorneal-compensated IOP.

resultsHigher levels of TC, HDL-C, and LDL-C were associated independently with higher IOPcc in both cohorts after adjustment for key demographic, medical, and lifestyle factors. For each 1-standard deviation increase in TC, HDL-C, and LDL-C, IOPcc was higher by 0.09 mmHg (95% confidence interval [CI], 0.06-0.11 mmHg; P < 0.001), 0.11 mmHg (95% CI, 0.08-0.13 mmHg; P < 0.001), and 0.07 mmHg (95% CI, 0.05-0.09 mmHg; P < 0.001), respectively, in the UK Biobank cohort. In the EPIC-Norfolk cohort, each 1-standard deviation increase in TC, HDL-C, and LDL-C was associated with a higher IOPcc by 0.19 mmHg (95% CI, 0.07-0.31 mmHg; P = 0.001), 0.14 mmHg (95% CI, 0.03-0.25 mmHg; P = 0.016), and 0.17 mmHg (95% CI, 0.06-0.29 mmHg; P = 0.003). An inverse association between triglyceride levels and IOP in the UK Biobank (-0.05 mmHg; 95% CI, -0.08 to -0.03; P < 0.001) was not replicated in the EPIC-Norfolk cohort (P = 0.30).

conclusionsOur findings suggest that serum TC, HDL-C, and LDL-C are associated positively with IOP in 2 United Kingdom cohorts and that triglyceride levels may be associated negatively. Future research is required to assess whether these associations are causal in nature.

Indexed as

Intraocular PressureAgedCholesterol, HDLCholesterol, LDLCross-Sectional StudiesHumansMiddle AgedProspective StudiesRisk FactorsTriglyceridesUnited KingdomCholesterol, HDLCholesterol, LDLTriglyceridesCholesterolGlaucomaIntraocular pressureLipids

Identifiers

PMID35500606
PMCPMC10444694
OpenAlexW4225136202

What OpenQuestion holds

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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.