Evidence map›Paper›PMID 38612699›Full record

SynthesisInternational journal of molecular sciences2024

Skin Autofluorescence as a Potential Adjunctive Marker for Cardiovascular Risk Assessment in Type 2 Diabetes: A Systematic Review.

Delia Reurean-Pintilei, Anca Pantea Stoian, Claudia-Gabriela Potcovaru, Teodor Salmen, Delia Cinteză, Roxana-Adriana Stoica, Sandra Lazăr, Bogdan Timar

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

8 authors at 3 institutions in 1 country.

Delia Reurean-PintileiDoctoral School of Medicine and Pharmacy, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-3116-8151
Anca Pantea StoianDiabetes, Nutrition and Metabolic Diseases Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-0555-526X
Claudia-Gabriela Potcovaru9th Department of Physical Medicine and Rehabilitation, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0009-0003-5801-5416
Teodor SalmenDoctoral School, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-4548-7441
Delia Cinteză9th Department of Physical Medicine and Rehabilitation, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-6216-6688
Roxana-Adriana StoicaDoctoral School, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Sandra LazărCentre for Molecular Research in Nephrology and Vascular Disease, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Bogdan TimarCentre for Molecular Research in Nephrology and Vascular Disease, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Carol Davila University of Medicine and Pharmacy · ROVictor Babeș University of Medicine and Pharmacy Timișoara · ROSpitalul Clinic Judeţean de Urgenţă "Pius Brînzeu" Timişoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiomarkersCardiovascular DiseasesDiabetes Mellitus, Type 2Glycation End Products, AdvancedSkinHeart Disease Risk FactorsHumansOptical ImagingRisk AssessmentRisk FactorsBiomarkersGlycation End Products, AdvancedAGECV risk factorsSAFT2DM

Identifiers

PMID38612699
PMCPMC11012197
OpenAlexW4393356953

What OpenQuestion holds

Textmetadata
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.