Evidence map›Paper›PMID 41873908›Full record

ArticleHealth technology assessment (Winchester, England)2026

Validating and updating the OHTS-EGPS model predicting 5-year glaucoma risk among patients with ocular hypertension using electronic medical records: a cohort study.

David Wright, Hangjian Wu, Anthony King, Giovanni Montesano, Bethany Higgins, Gus Gazzard, James Morgan, Andy McNaught, Rani Sebastian, Faisal Ahmed and 11 more

Abstract readValidation Study
In one paragraph

Article in Health technology assessment (Winchester, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

David WrightCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-8948-3691
Hangjian WuHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.ORCID 0000-0001-8377-3276
Anthony KingNottingham University Hospitals NHS Trust, Nottingham, UK.ORCID 0000-0002-3091-911X
Giovanni MontesanoOptometry and Visual Sciences, City University London, London, UK.ORCID 0000-0002-9148-2804
Bethany HigginsOptometry and Visual Sciences, City University London, London, UK.ORCID 0000-0002-4530-6156
Gus GazzardGlaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID 0000-0003-1982-5005
James MorganSchool of Optometry and Vision Sciences, Cardiff University, Cardiff, UK.ORCID 0000-0002-8920-1065
Andy McNaughtGloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.ORCID 0000-0002-5425-751X
Rani SebastianUniversity Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.ORCID 0009-0007-6516-9885
Faisal AhmedImperial College Healthcare NHS Trust, London, UK.ORCID 0000-0003-0015-6008
Chrysostomos DimitriouEast Suffolk and North Essex NHS Foundation Trust, Colchester, UK.ORCID 0000-0002-1836-772X
Madhu NagarMid Yorkshire Hospitals Trust, Wakefield, UK.ORCID 0009-0001-5863-073X
Andrew ScottGlaucoma Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID 0000-0002-5764-1787
Omar RafiqCalderdale and Huddersfield NHS Foundation Trust, Huddersfield, UK.ORCID 0009-0004-1770-9670
Robert HarperManchester Royal Eye Hospital, Manchester, UK.ORCID 0000-0001-5437-2553
David CrabbOptometry and Visual Sciences, City University London, London, UK.ORCID 0000-0001-8754-3902
Verity WatsonHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.ORCID 0000-0002-3824-5076
Rodolfo HernándezHealth Economics Research Unit, University of Aberdeen, Aberdeen, UK.ORCID 0000-0003-2619-8230
Chris CardwellCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-2689-4335
Yemisi TakwoingiInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.ORCID 0000-0002-5828-9746
Augusto Azuara-BlancoCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-4805-9322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ocular hypertension, that is intraocular pressure > 21 mmHg, is a risk factor for glaucoma. A glaucoma risk predictor, the Ocular Hypertension Study-European Glaucoma Prevention Study model, is available. Objectives: (1) To validate and update the Ocular Hypertension Study-European Glaucoma Prevention Study risk prediction model in a United Kingdom population; (2) to assess the relative efficiency of alternative monitoring pathways according to glaucoma risk; (3) to determine the clinical and cost-effectiveness of treating people with ocular hypertension with intraocular pressure of 22 or 23 mmHg and (4) to elicit patient preferences for monitoring. Design: (1) Retrospective data analysis of electronic medical records of ocular hypertension patients attending hospital eye services. The influence of the Ocular Hypertension Study-European Glaucoma Prevention Study predictors and additional ocular and systematic factors was explored. Validation: the Ocular Hypertension Study-European Glaucoma Prevention Study prediction model was applied. Update: the model was refitted by re-estimating baseline hazard and regression coefficients. (2, 3) Predictor versus standard care, with deterministic and probabilistic sensitivity analyses. Subgroup analysis for people with 22-23 mmHg intraocular pressure. (4) Discrete choice experiment. Setting and participants: People with intraocular pressure 22-32 mmHg in either eye, at least four visual field tests, 5 years of follow-up, no significant ocular comorbidities. Data sourced from secondary clinical settings. Main outcome measures: Discriminative ability (c-index) and calibration (calibration slope) to predict conversion to glaucoma in 5 years. Quality-adjusted life-years, incremental cost-effectiveness ratio, preferences. Data sources: Electronic medical records of 10 hospitals in England. Results: (1) Of 9030 patients with ocular hypertension who fitted the inclusion criteria 1530 (16.9%) converted to glaucoma. The Ocular Hypertension Study-European Glaucoma Prevention Study model provided a pooled c-index of 0.61 (95% confidence interval: 0.60 to 0.63). The updated model had a pooled c-index of 0.67 (0.51 to 0.84). (2) In the economic model almost all (99%) patients were treated in the risk predictor strategy, and less than half (47%) in the standard care strategy. The risk predictor strategy produced higher costs, but also higher quality-adjusted life-years and is likely to be cost-effective compared with standard care. (3) Patients with ocular hypertension and intraocular pressure 22-23 mmHg had similar risk of conversion to the rest of the cohort. A treat-all strategy may not be cost-effective. (4) Three hundred and sixty patients were recruited from four NHS hospitals. Almost all respondents (92%) had experienced face-to-face monitoring at a hospital; fewer respondents had experienced virtual clinics (47%) or community optometrist monitoring (43%). Most patients preferred hospital-based monitoring services by health professionals rather than community-based by optometrists but patients with prior experience of community optometrist monitoring preferred it. Patients preferred options associated with lower risk of conversion and lower costs. Limitations: Insufficient data to evaluate influence of ethnicity or ocular factors such as optic disc and retinal anatomy. Conclusions: We validated the Ocular Hypertension Study-European Glaucoma Prevention Study predictor model in a large population with ocular hypertension achieving modest improvements. The use of a risk prediction tool is likely to be cost-effective. Reducing the risk of conversion was the most important preference for patients with ocular hypertension. Future work: Future work should address the influence of genetic or other ocular factors in disease progression, evaluation of effectiveness and cost-effectiveness of different models of eye care, and on how to avoid late glaucoma presentation. Funding: This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR131808.

Indexed as

Electronic Health RecordsGlaucomaOcular HypertensionAgedCost-Benefit AnalysisCost-Effectiveness AnalysisFemaleHumansIntraocular PressureMaleMiddle AgedQuality-Adjusted Life YearsRetrospective StudiesRisk AssessmentRisk FactorsTechnology Assessment, BiomedicalELECTRONIC MEDICAL RECORDSGLAUCOMAOCULAR HYPERTENSIONRISK PREDICTION

Identifiers

PMID41873908
PMCPMC13034089

What OpenQuestion holds

Textmetadata
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.