Evidence map›Paper›PMID 28400371›Full record

ArticleThe British journal of ophthalmology2017

Retinal microvascular network geometry and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort 1936 study.

Sarah McGrory, Adele M Taylor, Mirna Kirin, Janie Corley, Alison Pattie, Simon R Cox, Baljean Dhillon, Joanna M Wardlaw, Fergus N Doubal, John M Starr and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Predicting stroke risk using retinal imaging with artificial intelligence: a scoping review of current evidence.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
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  4. A deep-learning retinal aging biomarker for cognitive decline and incident dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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  15. Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936.International journal of epidemiology · 2018
    Article
  16. Article
  17. Article
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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

13 authors at 3 institutions in 2 countries.

Sarah McGroryDivision of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Adele M TaylorDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Mirna KirinFaculty of Medicine, University of Split, Split, Croatia.
Janie CorleyDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Alison PattieDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Simon R CoxDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
Baljean DhillonDivision of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Joanna M WardlawDivision of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Fergus N DoubalDivision of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Emanuele TruccoVAMPIRE project, Computing, School of Science and Engineering, University of Dundee, Dundee, UK.
Thomas J MacGillivrayDivision of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Ian J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBUniversity of Dundee · GBUniversity of Split · HR

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council MR/K026992/1Medical Research Council MR/M013111/1Wellcome Trust 075611
6 · The paper itself

Abstract

aimTo examine the relationship between retinal vascular morphology and cognitive abilities in a narrow-age cohort of community-dwelling older people.

methodsDigital retinal images taken at age ∼73 years from 683 participants of the Lothian Birth Cohort 1936 (LBC1936) were analysed with Singapore I Vessel Assessment (SIVA) software. Multiple regression models were applied to determine cross-sectional associations between retinal vascular parameters and general cognitive ability (

resultsAfter adjustment for cognitive ability at age 11 years and cardiovascular risk factors, venular length-to-diameter ratio was nominally significantly associated with processing speed (β=-0.116, p=0.01) and

conclusionsRetinal parameters contributed <1% of the variance in the majority of associations observed. Whereas retinal analysis may have potential for early detection of some types of age-related cognitive decline and dementia, our results present little evidence that retinal vascular features are associated with non-pathological cognitive ageing.

Indexed as

AgingAgedArteriolesCognitionCross-Sectional StudiesFemaleHumansMaleMicrovesselsRetinal VesselsRetrospective StudiesSingaporeVenulesImagingRetina

Identifiers

PMID28400371
PMCPMC5530803
OpenAlexW2532935619

What OpenQuestion holds

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LicenceCC BY
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.