Evidence map›Paper›PMID 41151918›Full record

ArticleBMJ open ophthalmology2025

Real-world data landscape for glaucoma in Europe: a questionnaire-based analysis of resources among European Glaucoma Society members.

Marta Pazos, Andrew Tatham, Danilo Andrade De Jesus, Luisa Sanchez Brea, Stefan Klein, David Wright, Augusto Azuara-Blanco, Fotis Topouzis, Ananth Viswanathan, European Glaucoma Society Real World Data Task Force

Abstract read
In one paragraph

Article in BMJ open ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Referral for glaucoma surgery and types of surgery in different European regions in 2025, the EURACCUR study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    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

10 authors.

Marta PazosInsitut Clínic d'Oftalmologia, Hospital Clínic Barcelona, Barcelona, Spain martapazoslopez@gmail.com.ORCID http://orcid.org/0000-0003-4094-6346
Andrew TathamOphthalmology Department, Princess Alexandra Eye Pavilion, Edinburgh, UK.ORCID http://orcid.org/0000-0003-0372-3100
Danilo Andrade De JesusBiomedical Imaging Group Rotterdam. Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5799-4163
Luisa Sanchez BreaBiomedical Imaging Group Rotterdam. Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Stefan KleinBiomedical Imaging Group Rotterdam. Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
David WrightCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0001-8948-3691
Augusto Azuara-BlancoCentre for Public Health, Queen's University Belfast, Belfast, UK.
Fotis TopouzisDepartment of Ophthalmology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Ananth ViswanathanMoorfields Eye Hospital NHS Foundation Trust, London, UK.
European Glaucoma Society Real World Data Task Force

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsTo investigate the landscape to support Europe-wide collaborative real-world data (RWD) collection, exploring whether required resources are available to glaucoma clinicians.

methodsThis cross-sectional study employed a two-phase method, including two consecutive electronic questionnaires. For phase I, a survey was distributed to all European Glaucoma Society members inquiring about use of electronic medical records (EMRs). For phase II, EMR users who expressed their interest in contributing to a European RWD were surveyed regarding EMR data characteristics and technical resources.

resultsPhase I garnered responses from 201 glaucoma specialists, with 68% reporting use of an EMR. Among them, 47% and 65% reported over 90% of coding rates for diagnoses and medications, respectively. Despite the EMR making available report copies for perimetry (27%) and optical coherence tomography (OCT) (37%), automatic data extraction capabilities were limited to only 10% and 8%. 47 participants responded to phase II. Their practices saw an average of 415 glaucoma patients per month. Date of intraocular pressure (IOP) measurement was the most commonly available structured data (67%), followed by visual acuity (59%) and IOP (56%). 46% had access to central computing systems, with 41% reporting past experience in federated learning initiatives and 73% willing contribution. 34% reported involvement in the development of artificial intelligence algorithms.

conclusionThis study highlights a noteworthy EMR use among European glaucoma specialists, with structured data for metrics like IOP, but identifies gaps in data extraction capabilities. Major challenges include EMR heterogeneity, lack of standardised outcomes, healthcare system differences and cost. A combined approach using structured coding, digitised EMR data and semistructured OCT/perimetry data is recommended.

Indexed as

Electronic Health RecordsGlaucomaHealth ResourcesOphthalmologySocieties, MedicalCross-Sectional StudiesEuropeFemaleHumansIntraocular PressureMaleSurveys and QuestionnairesDiagnostic tests/InvestigationGlaucomaIntraocular pressure

Identifiers

PMID41151918
PMCPMC12574383

What OpenQuestion holds

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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.