Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic Populations: A Narrative Review.

Saved in:
Bibliographic Details
Title: Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic Populations: A Narrative Review.
Authors: Injety RJ; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK, rji7@leicester.ac.uk., Shenoy R; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK., Free RC; School of Computing and Mathematical Sciences, College of Science and Engineering, University of Leicester, Leicester, UK., Minhas JS; NIHR Leicester Biomedical Research Centre, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.; Leicester British Heart Foundation Center of Research Excellence, Leicester, UK., Thomas MG; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
Source: Cerebrovascular diseases (Basel, Switzerland) [Cerebrovasc Dis] 2025; Vol. 54 (5), pp. 804-821. Date of Electronic Publication: 2024 Nov 12.
Publication Type: Journal Article; Review
Journal Info: Publisher: Karger Country of Publication: Switzerland NLM ID: 9100851 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1421-9786 (Electronic) Linking ISSN: 10159770 NLM ISO Abbreviation: Cerebrovasc Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39532076
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic Populations: A Narrative Review.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Injety+RJ%22">Injety RJ</searchLink>; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK, rji7@leicester.ac.uk.<br /><searchLink fieldCode="AU" term="%22Shenoy+R%22">Shenoy R</searchLink>; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK.<br /><searchLink fieldCode="AU" term="%22Free+RC%22">Free RC</searchLink>; School of Computing and Mathematical Sciences, College of Science and Engineering, University of Leicester, Leicester, UK.<br /><searchLink fieldCode="AU" term="%22Minhas+JS%22">Minhas JS</searchLink>; NIHR Leicester Biomedical Research Centre, Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.; Leicester British Heart Foundation Center of Research Excellence, Leicester, UK.<br /><searchLink fieldCode="AU" term="%22Thomas+MG%22">Thomas MG</searchLink>; School of Psychology and Vision Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229100851%22">Cerebrovascular diseases (Basel, Switzerland)</searchLink> [Cerebrovasc Dis] 2025; Vol. 54 (5), pp. 804-821. <i>Date of Electronic Publication: </i>2024 Nov 12.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Karger%22">Karger </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9100851 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1421-9786 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210159770%22">10159770 </searchLink><i>NLM ISO Abbreviation: </i>Cerebrovasc Dis <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39532076
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1159/000542492
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 804
    Titles:
      – TitleFull: Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic Populations: A Narrative Review.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Injety RJ
      – PersonEntity:
          Name:
            NameFull: Shenoy R
      – PersonEntity:
          Name:
            NameFull: Free RC
      – PersonEntity:
          Name:
            NameFull: Minhas JS
      – PersonEntity:
          Name:
            NameFull: Thomas MG
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1421-9786
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Cerebrovascular diseases (Basel, Switzerland)
              Type: main
ResultId 1