Utilising Retinal Phenotypes to Predict Cerebrovascular Disease and Detect Related Risk Factors in Multi-Ethnic Populations: A Narrative Review.
Saved in:
| 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.
Login for full access.
|
|
| 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 |