Evidence map›Paper›PMID 39964321›Full record

ArticleInvestigative ophthalmology & visual science2025

Lung Function as a Biomarker for Glaucoma: The UK Biobank Study.

Jun Yu, Yuzhou Zhang, Ka Wai Kam, Mary Ho, Alvin L Young, Chi Pui Pang, Clement C Tham, Jason C Yam, Li Jia Chen

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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.

Jun YuDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Yuzhou ZhangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Ka Wai KamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Mary HoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Alvin L YoungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Chi Pui PangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Clement C ThamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Jason C YamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.
Li Jia ChenDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the associations of lung function with glaucoma and related traits, explore the interactions between glaucoma genetic risk and lung function, and assess the causal relationships using Mendelian randomization (MR). Methods: This cross-sectional study involved 85,369 participants with lung function measurements at baseline from the UK Biobank. Associations between lung function parameters and glaucoma and related traits were tested by multivariable logistic and linear regression. Two-sample MR analyses were conducted using summary statistics from large genetic datasets. Results: Forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), and FEV1/FVC ratio were inversely associated with glaucoma, with the lowest quartiles conferring odds ratios (ORs) of 1.51 (95% confidence interval [CI], 1.31-1.74; P = 7.6 × 10-8), 1.58 (95% CI, 1.37-1.81; P = 4.7 × 10-10) and 1.20 (95% CI, 1.08-1.34; P = 0.002), respectively, compared with the highest quartiles (P trends < 0.001 observed for each). Similar associations were found for impaired lung function (FEV1 <80% Global Lung Initiative predicted FEV1: OR, 1.22, 95% CI, 1.11-1.33; P = 1.2 × 10-5; FEV1/FVC <0.7: OR, 1.13, 95% CI, 1.03-1.24; P = 0.01). Lower lung function was associated with lower intraocular pressure (IOP), thinner macular retinal nerve fiber layer thickness, and thinner ganglion cell-inner plexiform layer thickness. No interactions were observed between glaucoma genetic risk and lung function. MR analyses did not suggest causal relationships. Conclusions: Lower FVC, FEV1, FEV1/FVC, and impaired lung function are potential biomarkers for glaucoma risk. These findings may facilitate clinical strategies for glaucoma management, particularly for individuals with impaired lung function.

Indexed as

GlaucomaLungAgedBiological Specimen BanksBiomarkersCross-Sectional StudiesFemaleForced Expiratory VolumeHumansIntraocular PressureMaleMendelian Randomization AnalysisMiddle AgedRespiratory Function TestsRetinal Ganglion CellsUK BiobankBiomarkers

Identifiers

PMID39964321
PMCPMC11838118

What Socratic 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 Socratic graph.