Evidence map›Paper›PMID 42365191›Full record

ArticleEye (London, England)2026

Exploring variations in Certificate of Vision Impairment (CVI) with geographical locations, deprivation indices, density of optometry practices and number of older people living in Mid and South Essex: an analysis of publicly available data.

Shahina Pardhan, Rumalie Wijewicrama, Boye Tayo, Peter Scolding, Anita Pereira, Jayne Mason, Sanjiv Ahluwalia, Mapa Prabhath Piyasena

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Article in Eye (London, 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.

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0citing papers in PubMed
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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

8 authors.

Shahina PardhanVision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, United Kingdom. Shahina.Pardhan@aru.ac.uk.ORCID http://orcid.org/0000-0003-2377-8387
Rumalie WijewicramaVision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, United Kingdom.ORCID http://orcid.org/0009-0006-9549-0349
Boye TayoMid and South Essex Integrated Care System, NHS England, Basildon, Essex, United Kingdom.ORCID http://orcid.org/0009-0003-9628-8669
Peter ScoldingMid and South Essex Integrated Care System, NHS England, Basildon, Essex, United Kingdom.ORCID http://orcid.org/0000-0001-8204-3896
Anita PereiraMid and South Essex Integrated Care System, NHS England, Basildon, Essex, United Kingdom.ORCID http://orcid.org/0009-0007-8422-048X
Jayne MasonMid and South Essex Integrated Care System, NHS England, Basildon, Essex, United Kingdom.ORCID http://orcid.org/0009-0002-7691-7803
Sanjiv AhluwaliaPrimary Care Research Centre, School of Medicine, Faculty of Health, Medicine & Social Care, Anglia Ruskin University, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-5830-0853
Mapa Prabhath PiyasenaVision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Young Street, Cambridge, United Kingdom.ORCID http://orcid.org/0000-0002-0236-0101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExamining factors that contribute to Certification of Vision Impairment (CVI) is important to enable an overview of progression, plan policies and distribution eye care services.

objectivesTo investigate associations between CVI, rate of change of CVI over a two-year period (2021-2023), percentage of people living in the 20% most deprived areas of Mid and South Essex (MSE), density of optometry practices and population of older people (>60 years) living in five sub-Integrated Care Board locations [Sub-ICB 1-5]) within MSE.

methodsData were obtained from ICB databases and publicly available sources. Descriptive statistics were summarised to present data, and associations were explored using Spearman's rank correlation.

resultsCVI increased over the 2021-2023 period with age-related macular degeneration being the most common cause. In 2023, different Sub-ICB areas showed varying burden with Sub-ICB-2 having the lowest number of CVI (29.2 per 100,000) while Sub-ICB-4 and Sub-ICB-5 showing the highest (75.3-76.3 per 100,000). Sub-ICB-4 also had the highest percentage of older people (>60 years). Strong positive association (ρ = 0.90, p = 0.0374) was found between rate of change of CVI and deprivation. Moderate positive associations between CVI with density of optometry practices (ρ = 0.60, p = 0.285); and the percentage of people over the age of 60 years (ρ = 0.50, p = 0.391).

conclusionsCVI increases in areas with older population, and also in those living in 20% most deprived areas, highlighting the potential link between socio-economic factors and vision impairment. These factors are important for targeting interventions in specific areas to reduce the risk of blindness in MSE.

Identifiers

PMID42365191

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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 Socratic graph.