Evidence map›Paper›PMID 38093293›Full record

ArticleCardiovascular diabetology2023

Cardiovascular risk and renal injury profile in subjects with type 2 diabetes and non-albuminuric diabetic kidney disease.

Maurizio Di Marco, Sabrina Scilletta, Nicoletta Miano, Nicola Marrano, Annalisa Natalicchio, Francesco Giorgino, Stefania Di Mauro, Agnese Filippello, Alessandra Scamporrino, Paola Tribulato and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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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

20 authors at 2 institutions in 1 country.

Maurizio Di MarcoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Sabrina ScillettaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Nicoletta MianoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Nicola MarranoDepartment of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, 70124, Bari, Italy.
Annalisa NatalicchioDepartment of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, 70124, Bari, Italy.
Francesco GiorginoDepartment of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, 70124, Bari, Italy.
Stefania Di MauroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Agnese FilippelloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Alessandra ScamporrinoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Paola TribulatoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Giosiana BoscoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Francesco Di Giacomo BarbagalloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Roberto ScicaliDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Agostino MilluzzoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Teresa BalliròDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Lucia FrittittaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Pietro CastellinoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Francesco PurrelloDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Salvatore PiroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy. salvatore.piro@unict.it.
Antonino Di PinoDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
University of Catania · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last years, the classical pattern of diabetic kidney disease (DKD) has been partially overcome, because of the uncovering of a new DKD phenotype with significant renal dysfunction without presence of albuminuria: the non-albuminuric DKD (NA-DKD). To date, the cardiovascular risk associated with this phenotype is still debated. We investigated the cardiovascular risk and renal injury profile of NA-DKD subjects in comparison with other DKD phenotypes.

methodsPulse wave velocity (PWV), intima-media thickness, presence of carotid atherosclerotic plaque, renal resistive index (RRI), and a panel of urinary biomarkers of kidney injury were evaluated in 160 subjects with type 2 diabetes, stratified according to estimated glomerular filtration rate (eGFR) and urinary albumin to creatinine ratio (UACR) into four groups: controls (UACR < 30 mg/g and eGFR ≥ 60 mL/min/1.73 m

resultsSubjects with NA-DKD showed a higher PWV (11.83 ± 3.74 m/s vs. 10.24 ± 2.67 m/s, P = 0.045), RRI (0.76 ± 0.11 vs. 0.71 ± 0.09, P = 0.04), and prevalence of carotid atherosclerotic plaque (59% vs. 31%, P = 0.009) compared with controls. These characteristics were similar to those of subjects with AL-DKD, whereas the profile of A-DKD subjects was closer to controls. After multiple regression analyses, we found that RRI, that is in turn influenced by eGFR (β = - 0.01, P = 0.01), was one of the major determinants of PWV (β = 9.4, P = 0.02). Urinary TreFoil Factor 3, a marker of tubular damage, was higher in NA-DKD subjects vs. controls (1533.14 ± 878.31 ng/mL vs. 1253.84 ± 682.17 ng/mL, P = 0.047). Furthermore, after multiple regression analyses, we found that urinary osteopontin was independently associated with PWV (β = 2.6, P = 0.049) and RRI (β = 0.09, P = 0.006).

conclusionsOur data showed a worse cardiovascular and renal injury profile in NA-DKD subjects. This finding emphasizes the central role of eGFR in the definition of cardiovascular risk profile of diabetic subjects together with albuminuria.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic NephropathiesPlaque, AtheroscleroticAlbuminuriaCarotid Intima-Media ThicknessGlomerular Filtration RateHeart Disease Risk FactorsHumansKidneyPulse Wave AnalysisRisk FactorsArterial StiffnessCardiovascular riskDiabetic kidney diseaseNon-albuminuric diabetic kidney diseaseRenal resistive indexType 2 diabetesUrinary biomarkers

Identifiers

PMID38093293
PMCPMC10720121
OpenAlexW4389671756

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Registered trials

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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.