Evidence map›Paper›PMID 29394888›Full record

ArticleBMC geriatrics2018

Diabetic kidney disease in the elderly: prevalence and clinical correlates.

Giuseppina T Russo, Salvatore De Cosmo, Francesca Viazzi, Antonio Mirijello, Antonio Ceriello, Pietro Guida, Carlo Giorda, Domenico Cucinotta, Roberto Pontremoli, Paola Fioretto and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 91 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

11 authors at 5 institutions in 2 countries.

Giuseppina T RussoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy. giuseppina.russo@unime.it.ORCID 0000-0002-4565-3131
Salvatore De CosmoDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza,", San Giovanni Rotondo, (FG), Italy.
Francesca ViazziDepartment of Internal Medicine, University of Genoa and Policlinico San Martino, Genoa, Italy.
Antonio MirijelloDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza,", San Giovanni Rotondo, (FG), Italy.
Antonio CerielloInstitut d'Investigacions Biomediques August Pii Sunyer (IDIBAPS) and Centro de Investigacion Biomedicaen Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Barcelona, Spain.
Pietro GuidaAssociazione Medici Diabetologi, Rome, Italy.
Carlo GiordaDiabetes and Metabolism Unit, ASL, Turin 5, Chieri (TO), Turin, Italy.
Domenico CucinottaDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Roberto PontremoliDepartment of Internal Medicine, University of Genoa and Policlinico San Martino, Genoa, Italy.
Paola FiorettoDepartment of Medicine, University of Padua, Padua, Italy.
AMD-Annals Study Group
University of Messina · ITCasa Sollievo della Sofferenza · ITUniversity of Padua · ITAssociazione Medici Diabetologi · ITCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic kidney disease (DKD) is a major burden in elderly patients with type 2 diabetes (T2DM). Low estimated glomerular filtration rate (eGFR+, < 60 mL/min/1.73 m2) and albuminuria (Alb+) are essential for the diagnosis of DKD, but their association with clinical variables and quality of care may be influenced by ageing.

methodsHere we investigated the association of clinical variables and quality of care measures with eGFR+ and Alb+ in 157,595 T2DM individuals participating to the Italian Association of Clinical Diabetologists (AMD) Annals Initiative, stratified by age.

resultsThe prevalence of eGFR+ and Alb+ increased with ageing, although this increment was more pronounced for low eGFR. Irrespective of age, both the eGFR+ and Alb + groups had the worst risk factors profile when compared to subjects without renal disease, showing a higher prevalence of out-of target values of HbA1c, BMI, triglycerides, HDL-C, blood pressure and more complex cardiovascular (CVD) and anti-diabetic therapies, including a larger use of insulin In all age groups, these associations differed according to the specific renal outcome examined: male sex and smoking were positively associated with Alb+ and negatively with eGFR+; age and anti-hypertensive therapies were more strongly associated with eGFR+, glucose control with Alb+, whereas BMI, and lipid-related variables with both abnormalities. All these associations were attenuated in the older (> 75 years) as compared to the younger groups (< 65 years; 65-75 years), and they were confirmed by multivariate analysis. Notably, Q-score values < 15, indicating a low quality of care, were strongly associated with Alb+ (OR 8.54; P < 0.001), but not with eGFR+.

conclusionsIn T2DM patients, the prevalence of both eGFR and Albuminuria increase with age. DKD is associated with poor cardiovascular risk profile and a lower quality of care, although these associations are influenced by the type of renal abnormality and by ageing. These data indicate that clinical surveillance of DKD should not be unerestimated in old T2DM patients.

Indexed as

AgedAged, 80 and overAlbuminuriaCohort StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleGlomerular Filtration RateHumansItalyMaleMiddle AgedPrevalenceRisk FactorsTriglyceridesTriglyceridesCardiovascular diseaseDiabetic kidney diseaseElderlyType 2 diabetes

Identifiers

PMID29394888
PMCPMC5797340
OpenAlexW2790400618

What OpenQuestion holds

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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.