Evidence map›Paper›PMID 35762941›Full record

SynthesisInvestigative ophthalmology & visual science2022

High Blood Pressure and Intraocular Pressure: A Mendelian Randomization Study.

Denis Plotnikov, Yu Huang, Anthony P Khawaja, Paul J Foster, Zhuoting Zhu, Jeremy A Guggenheim, Mingguang He

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Investigative ophthalmology & visual science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
13.3field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  9. Coronary artery disease risk gene PRDM16 regulates smooth muscle homeostasis.Journal of molecular and cellular cardiology · 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

7 authors at 5 institutions in 4 countries.

Denis PlotnikovCentral Research Laboratory, Kazan State Medical University, Kazan, Russia.
Yu HuangGuangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Anthony P KhawajaNIHR Moorfields Biomedical Research Centre and UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Paul J FosterNIHR Moorfields Biomedical Research Centre and UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Zhuoting ZhuGuangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jeremy A GuggenheimSchool of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom.
Mingguang HeGuangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Cardiff University · GBGuangdong Academy of Medical Sciences · CNNIHR Moorfields Biomedical Research Centre · GBSun Yat-sen University · CNUniversity College London · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/T040912/1Wellcome Trust
6 · The paper itself

Abstract

Purpose: To test for causality with regard to the association between blood pressure (BP) and intraocular pressure (IOP) and glaucoma. Methods: Single nucleotide polymorphisms (SNPs) associated with BP were identified in a genome-wide association study (GWAS) meta-analysis of 526,001 participants of European ancestry. These SNPs were used to assess the BP versus IOP relationship in a distinct sample (n = 70,832) whose corneal-compensated IOP (IOPcc) was measured. To evaluate the BP versus primary open-angle glaucoma (POAG) relationship, additional Mendelian randomization (MR) analyses were conducted using published GWAS summary statistics. Results: Observational analysis revealed a linear relationship between BP traits and IOPcc, with a +0.28 mm Hg increase in IOPcc per 10-mm Hg increase in systolic BP (95% confidence interval [CI], 0.26-0.29); for diastolic blood pressure (DBP) and pulse pressure (PP), these estimates were +0.41 mm Hg and +0.36 mm Hg, respectively. An inverse-variance weighted MR analysis did not support a causal relationship, as the estimated causal effect was +0.01 mm Hg IOPcc per 10-mm Hg increase in systolic blood pressure (SBP); +0.13 mm Hg IOPcc per 10-mm Hg increase in DBP; and +0.02 mm Hg IOPcc per 10-mm Hg increase in PP (all P > 0.05). With regard to the risk of POAG, MR analyse yielded causal effect estimate of odds ratio = 0.98 (95% CI, 0.92-1.04) per 10-mm Hg increase in SBP. Neither DBP nor PP demonstrated evidence of a causal effect on POAG. Conclusions: A range of different MR analysis methods provided evidence, in general, that the causal effect of BP on IOP (and POAG) was modest, or even zero. However, interpretation was complicated by SNPs associated with BP potentially having pleiotropic effects on IOP.

Indexed as

Glaucoma, Open-AngleHypertensionGenome-Wide Association StudyHumansIntraocular PressureMendelian Randomization AnalysisObservational Studies as Topic

Identifiers

PMID35762941
PMCPMC9251815
OpenAlexW4283657959

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.