Evidence map›Paper›PMID 30478509›Full record

ReviewJournal of nephrology2019

Natural history and risk factors for diabetic kidney disease in patients with T2D: lessons from the AMD-annals.

Francesca Viazzi, Giuseppina Tiziana Russo, Antonio Ceriello, Paola Fioretto, Carlo Giorda, Salvatore De Cosmo, Roberto Pontremoli

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  9. Redox regulation in diabetic kidney disease.American journal of physiology. Renal physiology · 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

7 authors at 6 institutions in 3 countries.

Francesca ViazziUniversità degli Studi and IRCCS Policlinico San Martino-IST, Genoa, Italy.
Giuseppina Tiziana RussoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Antonio CerielloInstitut d'Investigacions Biomèdiques August Pii Sunyer (IDIBAPS) and Centro de Investigación Biomédicaen Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain.
Paola FiorettoDepartment of Medicine, University of Padua, Padua, Italy.
Carlo GiordaDiabetes and Metabolism Unit ASL Turin 5, Chieri, Italy.
Salvatore De CosmoDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo (FG), Italy.
Roberto PontremoliUniversità degli Studi and IRCCS Policlinico San Martino-IST, Genoa, Italy. roberto.pontremoli@unige.it.ORCID http://orcid.org/0000-0003-1238-872X
Ospedale Policlinico San Martino · ITCasa Sollievo della Sofferenza · ITCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESDepartment of Medical Sciences · RUUniversity of Messina · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Associazione Medici Diabetologi (AMD) annals initiative is an ongoing observational survey promoted by AMD. It is based on a public network of about 700 Italian diabetes clinics, run by specialists who provide diagnostic confirmation and prevention and treatment of diabetes and its complications. Over the last few years, analysis of the AMD annals dataset has contributed several important insights on the clinical features of type-2 diabetes kidney disease and their prognostic and therapeutic implications. First, non-albuminuric renal impairment is the predominant clinical phenotype. Even though associated to a lower risk of progression compared to overt albuminuria, it contributes significantly to the burden of end-stage renal disease morbidity. Second, optimal blood pressure control provides significant but incomplete renal protection. It reduces albuminuria but there may be a J curve phenomenon with eGFR at very low blood pressure values. Third, hyperuricemia and diabetic hyperlipidemia, namely elevated triglycerides and low HDL cholesterol, are strong independent predictors of chronic kidney disease (CKD) onset in diabetes, although the pathogenetic mechanisms underlying these associations remain uncertain. Fourth, the long-term intra-individual variability in HbA1c, lipid parameters, uric acid and blood pressure plays a greater role in the appearance and progression of CKD than the absolute value of each single variable. These data help clarify the natural history of CKD in patients with type 2 diabetes and provide important clues for designing future interventional studies.

Indexed as

AlbuminuriaDiabetes Mellitus, Type 2Diabetic NephropathiesDyslipidemiasHumansHypertensionMetabolic SyndromeRisk FactorsUric AcidUric AcidAlbuminuriaChronic kidney diseaseGlomerular filtration rateHypertensionT2 diabetes

Identifiers

PMID30478509
OpenAlexW2903224634

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.