Evidence map›Paper›PMID 37980397›Full record

ArticleEye (London, England)2024

Mapping vision loss of patients in a glaucoma backlog following the COVID-19 pandemic: a real-world analysis using the Glauc-Strat-Fast risk stratification tool.

Ojasvi Sharma, Lee Jones, Freda Sii, Jonathan Whittaker, Simon Dulku, Graham Lee, James Kirwan, Tarun Sharma, Peter Shah

Open access · greenAbstract read
In one paragraph

Article in Eye (London, England), 2024. 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, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

9 authors at 7 institutions in 2 countries.

Ojasvi SharmaMedical School, University of Nottingham, Nottingham, UK.
Lee JonesUniversity College London, Institute of Ophthalmology, London, UK.ORCID 0000-0002-8030-1211
Freda SiiBirmingham Institute for Glaucoma Research, Institute of Translational Medicine, Birmingham, UK.
Jonathan WhittakerQueen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Simon DulkuBirmingham Institute for Glaucoma Research, Institute of Translational Medicine, Birmingham, UK.
Graham LeeDepartment of Ophthalmology, Mater Hospital, Brisbane, QLD, Australia.ORCID 0000-0002-9359-1473
James KirwanDepartment of Ophthalmology, Queen Alexandra Hospital, Portsmouth, UK.ORCID 0000-0001-6105-4641
Tarun SharmaWorcestershire Acute Hospitals NHS Trust, Ophthalmology Department, Worcester, UK. tarunsharmat1@gmail.com.
Peter ShahUniversity College London, Institute of Ophthalmology, London, UK.
University Hospitals Birmingham NHS Foundation Trust · GBQueen Alexandra Hospital · GBThe University of Queensland · AUUniversity of Nottingham · GBUniversity of Wolverhampton · GBVictim Support · GBWorcestershire Acute Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlauc-Strat-Fast is a clinical tool recommended by The Royal College of Ophthalmologists to classify glaucoma patients into strata of risk for significant future sight loss and an estimate of resource requirement. The aim of this study was to map the movement of glaucoma patients across stratification boundaries on Glauc-Strat-Fast during the COVID-19 pandemic. SUBJECTS AND

methodsGlauc-Strat-Fast was applied to a consecutive sample of 100 primary open angle glaucoma patients in a backlog at Worcestershire Acute Hospitals NHS Trust. Stratification outcomes were compared between clinic visits prior to the COVID-19 pandemic versus the follow-up visit. Patients were stratified twice separately based on their worse eye (i.e., most affected) and better eye (i.e., least affected) according to Glauc-Strat-Fast.

resultsAmount of slippage (difference between target follow-up and actual follow-up) ranged from 2 to 32 months. There was a statistically significant average reduction in visual field mean deviation for better and worse eyes between visits (p = <0.001). At follow-up, no worse eyes were classified as being low risk (green), while 96 were classified as high risk (red). For better eyes, elevation of risk into the highest strata of Glauc-Strat-Fast observed a three-fold increase in patients (19 versus 56) between visits. DISCUSSION: This retrospective real-world analysis highlights patients' movement into the highest strata on the Glauc-Strat-Fast tool and demonstrates a significant deterioration in visual outcomes during a period of extensive appointment slippage. The findings demonstrate the utility of Glauc-Strat-Fast as a tool for improved patient management.

Indexed as

COVID-19GlaucomaGlaucoma, Open-AngleBlindnessHumansIntraocular PressurePandemicsRetrospective StudiesRisk AssessmentVision Disorders

Identifiers

PMID37980397
PMCPMC10966079
OpenAlexW4388793578

What OpenQuestion holds

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Registered trials

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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.