Evidence map›Paper›PMID 28927403›Full record

ArticleCardiovascular diabetology2017

Circulating levels and characterization of microparticles in patients with different degrees of glucose tolerance.

Alessandra Giannella, Claudia Maria Radu, Lorenzo Franco, Elena Campello, Paolo Simioni, Angelo Avogaro, Saula Vigili de Kreutzenberg, Giulio Ceolotto

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.6field-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

46 citing papers in PubMed, 69 citations in OpenAlex.

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  11. Genetics of diabetes.World journal of diabetes · 2023
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  13. Diagnosis of Extracellular Vesicles in Cardiovascular and Metabolic Diseases.Advances in experimental medicine and biology · 2023
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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 1 institution in 1 country.

Alessandra GiannellaDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
Claudia Maria RaduDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
Lorenzo FrancoDepartment of Chemical Sciences, University of Padova, Padua, Italy.
Elena CampelloDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
Paolo SimioniDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
Angelo AvogaroDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
Saula Vigili de KreutzenbergDepartment of Medicine-DIMED, University of Padova, Padua, Italy. saula.dekreutzenberg@unipd.it.
Giulio CeolottoDepartment of Medicine-DIMED, University of Padova, Padua, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroparticles (MPs) are vesicular structures shed from endothelial or circulating blood cells, after activation or apoptosis, and can be considered markers of vascular damage. We aimed to determine the levels of circulating MPs, their content of miRNA-126-3p and 5p, and their relationship with early endothelial activation/damage, in patients with different degree of glucose tolerance.

methodsCD62E

resultsActivated endothelial cell-derived MPs (CD62E

conclusionWe show for the first time that circulating CD62E

Indexed as

BiomarkersBlood GlucoseCell-Derived MicroparticlesDiabetes Mellitus, Type 2E-SelectinFemaleHumansMaleMicroRNAsMiddle AgedPrediabetic StateVascular Cell Adhesion Molecule-1BiomarkersBlood GlucoseE-SelectinMicroRNAsMIRN126 microRNA, humanVascular Cell Adhesion Molecule-1MicroparticlesmicroRNAPrediabetesType 2 diabetes

Identifiers

PMID28927403
PMCPMC5606070
OpenAlexW2756339776

What OpenQuestion holds

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LicenceCC BY
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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.