Skin Autofluorescence as a Potential Adjunctive Marker for Cardiovascular Risk Assessment in Type 2 Diabetes: A Systematic Review Article Swipe
Delia Reurean‐Pintilei
,
Anca Pantea Stoian
,
Claudia-Gabriela Potcovaru
,
Teodor Salmen
,
Delia Cinteză
,
Roxana Adriana Stoica
,
Sandra Lazăr
,
Bogdan Timar
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijms25073889
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijms25073889
Diabetes mellitus (DM), due to its long-term hyperglycemia, leads to the accumulation of advanced glycation end-products (AGEs), especially in the vessel walls. Skin autofluorescence (SAF) is a non-invasive tool that measures AGEs. DM patients have a rich dietary source in AGEs, associated with high oxidative stress and long-term inflammation. AGEs represent a cardiovascular (CV) risk factor, and they are linked with CV events. Our objective was to assess whether SAF predicts future CV events (CVE) by examining its association with other CV risk factors in patients with type 2 DM (T2DM). Additionally, we assessed the strengths and limitations of SAF as a predictive tool for CVE. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses methodology, we conducted a systematic review with CRD42024507397 protocol, focused on AGEs, T2DM, SAF, and CV risk. We identified seven studies from 2014 to 2024 that predominantly used the AGE Reader Diagnostic Optic tool. The collective number of patients involved is 8934, with an average age of 63. So, SAF is a valuable, non-invasive marker for evaluating CV risk in T2DM patients. It stands out as a CV risk factor associated independently with CVE. SAF levels are influenced by prolonged hyperglycemia, lifestyle, aging, and other chronic diseases such as depression, and it can be used as a predictive tool for CVE.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijms25073889
- https://www.mdpi.com/1422-0067/25/7/3889/pdf?version=1711869810
- OA Status
- gold
- Cited By
- 10
- References
- 77
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393356953
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393356953Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijms25073889Digital Object Identifier
- Title
-
Skin Autofluorescence as a Potential Adjunctive Marker for Cardiovascular Risk Assessment in Type 2 Diabetes: A Systematic ReviewWork title
- Type
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reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-31Full publication date if available
- Authors
-
Delia Reurean‐Pintilei, Anca Pantea Stoian, Claudia-Gabriela Potcovaru, Teodor Salmen, Delia Cinteză, Roxana Adriana Stoica, Sandra Lazăr, Bogdan TimarList of authors in order
- Landing page
-
https://doi.org/10.3390/ijms25073889Publisher landing page
- PDF URL
-
https://www.mdpi.com/1422-0067/25/7/3889/pdf?version=1711869810Direct link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/1422-0067/25/7/3889/pdf?version=1711869810Direct OA link when available
- Concepts
-
Medicine, Risk factor, Type 2 Diabetes Mellitus, Diabetes mellitus, Risk assessment, Type 2 diabetes, Internal medicine, Glycation, Intensive care medicine, Endocrinology, Computer science, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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77Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.AGEs. | 31 |
| abstract_inverted_index.Items | 110 |
| abstract_inverted_index.Optic | 148 |
| abstract_inverted_index.T2DM, | 128 |
| abstract_inverted_index.leads | 8 |
| abstract_inverted_index.other | 80, 200 |
| abstract_inverted_index.risk. | 132 |
| abstract_inverted_index.seven | 135 |
| abstract_inverted_index.tool. | 149 |
| abstract_inverted_index.Reader | 146 |
| abstract_inverted_index.aging, | 198 |
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| abstract_inverted_index.events | 73 |
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| abstract_inverted_index.future | 71 |
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| abstract_inverted_index.stands | 179 |
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| abstract_inverted_index.vessel | 20 |
| abstract_inverted_index.walls. | 21 |
| abstract_inverted_index.(AGEs), | 16 |
| abstract_inverted_index.(T2DM). | 90 |
| abstract_inverted_index.Reviews | 113 |
| abstract_inverted_index.average | 160 |
| abstract_inverted_index.chronic | 201 |
| abstract_inverted_index.dietary | 37 |
| abstract_inverted_index.events. | 62 |
| abstract_inverted_index.factor, | 55 |
| abstract_inverted_index.factors | 83 |
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| abstract_inverted_index.studies | 136 |
| abstract_inverted_index.whether | 68 |
| abstract_inverted_index.Diabetes | 0 |
| abstract_inverted_index.advanced | 13 |
| abstract_inverted_index.assessed | 93 |
| abstract_inverted_index.diseases | 202 |
| abstract_inverted_index.involved | 155 |
| abstract_inverted_index.measures | 30 |
| abstract_inverted_index.mellitus | 1 |
| abstract_inverted_index.patients | 33, 85, 154 |
| abstract_inverted_index.predicts | 70 |
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| abstract_inverted_index.Preferred | 108 |
| abstract_inverted_index.Reporting | 109 |
| abstract_inverted_index.conducted | 118 |
| abstract_inverted_index.examining | 76 |
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| abstract_inverted_index.long-term | 6, 47 |
| abstract_inverted_index.objective | 64 |
| abstract_inverted_index.oxidative | 44 |
| abstract_inverted_index.patients. | 177 |
| abstract_inverted_index.prolonged | 195 |
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| abstract_inverted_index.strengths | 95 |
| abstract_inverted_index.valuable, | 168 |
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| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5018730847, https://openalex.org/A5025961687 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I162051807 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7900000214576721 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95943366 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |