Evidence mapPaperPMID 41009758Full record

ArticleInternational journal of molecular sciences2025

The Glycemia Risk Index (GRI) as a Biomarker for Subclinical Endothelial Dysfunction in Type 1 Diabetes: A Cross-Sectional Study.

Nicole Di Martino, Silvia Angelino, Antonietta Maio, Paolo Cirillo, Alessandro Pontillo, Mariangela Caputo, Lorenzo Scappaticcio, Paola Caruso, Miriam Longo, Giuseppe Bellastella and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Nicole Di MartinoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0009-0001-8062-3958
Silvia AngelinoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0009-0008-1503-6918
Antonietta MaioUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.
Paolo CirilloDepartment of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.
Alessandro PontilloUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.
Mariangela CaputoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.
Lorenzo ScappaticcioDepartment of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0003-2972-9551
Paola CarusoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0002-4756-2022
Miriam LongoDepartment of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0002-6459-5854
Giuseppe BellastellaUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0002-4748-321X
Maria Ida MaiorinoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0003-4659-7546
Katherine EspositoUnit of Endocrinology and Metabolic Diseases, University Hospital Luigi Vanvitelli, 80138 Naples, Italy.ORCID 0000-0002-3652-5154

Funding

PhD Program in Translational Medicine, University of Campania Luigi Vanvitelli NA
6 · The paper itself

Abstract

Circulating levels of endothelial progenitor cells (EPCs) involved in endothelial homeostasis are often reduced in people with type 1 diabetes (T1D). The Glycemia Risk Index (GRI) quantifies the quality of glucose control by assessing both hypo- and hyperglycemia risk. We aim to investigate the association between the GRI and circulating EPC levels in people with T1D. This cross-sectional study included 132 adults with T1D, on intensive insulin therapy. We calculated GRI from 14 days continuous glucose monitoring-derived metrics and quantified EPCs count by flow cytometry, stratifying results by GRI zones, ranging from A (lowest risk) to E (highest risk). Higher GRI scores were significantly associated with poorer metabolic parameters. Circulating levels of CD34

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Endothelium, VascularAdultBiomarkersCross-Sectional StudiesEndothelial Progenitor CellsFemaleGlycated HemoglobinHumansHyperglycemiaMaleMiddle AgedRisk FactorsYoung AdultBiomarkersBlood GlucoseGlycated Hemoglobincardiovascular riskendothelial dysfunctionendothelial progenitor cellsglucose controlglucose variabilityGRItype 1 diabetes

Identifiers

PMID41009758
PMCPMC12470873

What Socratic 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 Socratic graph.