Evidence map›Paper›PMID 30032426›Full record

ArticleDiabetologia2018

Non-albuminuric renal impairment is a strong predictor of mortality in individuals with type 2 diabetes: the Renal Insufficiency And Cardiovascular Events (RIACE) Italian multicentre study.

Giuseppe Penno, Anna Solini, Emanuela Orsi, Enzo Bonora, Cecilia Fondelli, Roberto Trevisan, Monica Vedovato, Franco Cavalot, Olga Lamacchia, Marco Scardapane and 3 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00715481 (Reduced Estimated Glomerular Filtration Rate), which is not on this map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
8.9field-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.

NCT00715481 completednot on this map

Reduced Estimated Glomerular Filtration Rate (eGFR)and Prediction of Cardiovascular Disease and Renal Outcome in Subjects With Type 2 Diabetes: Italian Multicenter Study

TypeobservationalSponsorDiabetic Nephropathy Study GroupRan2008 to 2015Enrolled15,628ConditionsCardiovascular Disease
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Observational
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Observational
  17. Article
  18. Observational
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

13 authors at 7 institutions in 1 country.

Giuseppe PennoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Anna SoliniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy.
Emanuela OrsiDiabetes Unit, IRCCS 'Cà Granda - Ospedale Maggiore Policlinico' Foundation, Milan, Italy.
Enzo BonoraDivision of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, Verona, Italy.
Cecilia FondelliDiabetes Unit, University of Siena, Siena, Italy.
Roberto TrevisanEndocrinology and Diabetes Unit, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
Monica VedovatoDepartment of Clinical and Experimental Medicine, University of Padua, Padua, Italy.
Franco CavalotDepartment of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Olga LamacchiaDepartment of Medical Sciences, University of Foggia, Foggia, Italy.
Marco ScardapaneCentre for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.
Antonio NicolucciCentre for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.
Giuseppe PuglieseDepartment of Clinical and Molecular Medicine, 'La Sapienza' University, Via di Grottarossa, 1035-1039, 00189, Rome, Italy. giuseppe.pugliese@uniroma1.it.ORCID http://orcid.org/0000-0003-1574-0397
Renal Insufficiency And Cardiovascular Events (RIACE) Study Group
University of Pisa · ITCenter for Outcomes Research and Clinical Epidemiology · ITUniversity of Foggia · ITUniversity of Padua · ITUniversity of Siena · ITSapienza University of Rome · ITUniversity of Verona · IT

Funding

Boehringer Ingelheim NAChiesi Farmaceutici NADiabetes, Endocrinology and Metabolism Foundation NAEli Lilly and Company NAResearch Foundation of the Italian Diabetes Society (Diabete Ricerca) NASigma-Tau Pharmaceuticals NATakeda Pharmaceutical Company NA
6 · The paper itself

Abstract

aims/hypothesisNon-albuminuric renal impairment has become the prevailing diabetic kidney disease (DKD) phenotype in individuals with type 2 diabetes and an estimated GFR (eGFR) <60 ml min

methodsThis observational prospective cohort study enrolled 15,773 individuals with type 2 diabetes in 2006-2008. Based on baseline albuminuria and eGFR, individuals were classified as having: no DKD (Alb

resultsMortality risk adjusted for confounders was lowest for Alb CONCLUSIONS/

interpretationNon-albuminuric renal impairment is a strong predictor of mortality, thus supporting a major prognostic impact of renal dysfunction irrespective of albuminuria. Correlates of death partly differ from the albuminuric forms, indicating that non-albuminuric DKD is a distinct phenotype.

trial registrationClinicalTrials.gov NCT00715481.

Indexed as

AgedAlbuminuriaDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsProspective StudiesRenal Insufficiency, ChronicAlbuminuriaAll-cause mortalityDiabetic kidney diseaseGlomerular filtration rateType 2 diabetes

Identifiers

PMID30032426
OpenAlexW2884256161

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.