Evidence map›Paper›PMID 42017029›Full record

ArticleClinical kidney journal2026

Evolving kidney disease phenotypes in type 2 diabetes: declining albuminuria and increasing isolated low eGFR.

Salvatore A De Cosmo, Giuseppina Russo, Antonio Nicolucci, Chiara Rossi, Giusi Graziano, Paola Fioretto, Dario Tuccinardi, Francesca Viazzi, Giovanni Sartore, Andrea Muscarà and 5 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

15 authors.

Salvatore A De CosmoDepartement of Clinical Sciences, Unit of Internal Medicine, IRCCS "Casa Sollievo Della Sofferenza", San Giovanni Rotondo, FG, Italy.
Giuseppina RussoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Antonio NicolucciCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Chiara RossiCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Giusi GrazianoCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Paola FiorettoDepartment of Medicine, University of Padua, Unit of Medical Clinic 3, Padua, Italy.
Dario TuccinardiFondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, Roma, Italy.ORCID https://orcid.org/0000-0002-9139-7159
Francesca ViazziDepartment of Internal Medicine and Medical Specialties (DIMI), University of Genova, Genova, Italy.ORCID https://orcid.org/0000-0003-4219-7043
Giovanni SartoreDepartment of Medicine-DIMED, University of Padova, Padova, Italy.
Andrea MuscaràDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Alessandro CuttoneDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Pamela PiscitelliDepartement of Clinical Sciences, Unit of Internal Medicine, IRCCS "Casa Sollievo Della Sofferenza", San Giovanni Rotondo, FG, Italy.ORCID https://orcid.org/0009-0009-6788-3032
Riccardo CandidoAzienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy.
Graziano Di CianniDiabetes and Metabolic Diseases Unit, Health Local Unit Nord-West Tuscany, Livorno Hospital, Pad. 4, Viale Alfieri 36, Livorno (LI), Italy.
Roberto PontremoliDepartment of Internal Medicine and Medical Specialties (DIMI), University of Genova, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the prevalence and clinical correlates of renal phenotypes in two cohorts of type 2 diabetes (T2D) patients, assessed temporal trends, and evaluated associations with treatment regimens. These figures were compared to those previously recorded in a similar, real world cohort 15 years earlier in Italy. Methods: Clinical data from 378 914 T2D patients attending the AMD network in 2023 in Italy were retrieved and compared to a similar cohort of prevalent patients in 2009. Renal phenotypes were classified as isolated albuminuria, isolated reduced eGFR (<60 ml/min/1.73 m²), or both. Multivariate logistic regression identified factors associated with these phenotypes. Results: In the 2023 study cohort, 51.3% of patients showed preserved renal function, 17.9% had isolated low eGFR, 17.4% had isolated albuminuria, and 13.3% exhibited both conditions. Female gender was independently associated with isolated low eGFR (OR = 1.28), whereas male gender was linked to albuminuria. Age was significantly related to both renal abnormalities, while longer diabetes duration increased the likelihood of low eGFR. Conclusions: Compared with the 2009 cohort, the prevalence of CKD in T2D remains stable in 2023, with albuminuric phenotypes decreasing and isolated low eGFR phenotypes increasing. These trends may reflect the aging population and evolving treatment practices, including a growing use of nephroprotective agents such as RAS inhibitors, SGLT2 inhibitors, and GLP-1 receptor agonists as well as better control of blood pressure. Longitudinal

Indexed as

albuminuriachronic kidney diseaseestimated glomerular filtration ratetype 2 diabetes mellitus (T2D)

Identifiers

PMID42017029
PMCPMC13092974

What Socratic holds

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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 Socratic graph.