Evidence map›Paper›PMID 32665314›Full record

Observational studyBMJ open diabetes research & care2020

Renal hyperfiltration is independently associated with increased all-cause mortality in individuals with type 2 diabetes: a prospective cohort study.

Giuseppe Penno, Emanuela Orsi, Anna Solini, Enzo Bonora, Cecilia Fondelli, Roberto Trevisan, Monica Vedovato, Franco Cavalot, Gabriella Gruden, Luigi Laviola and 3 more

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open diabetes research & care, 2020. 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 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 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

13 authors at 10 institutions in 1 country.

Giuseppe PennoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Emanuela OrsiDiabetes Service, Endocrinology Unit, IRCCS "Cà Granda - Ospedale Maggiore Policlinico" Foundation, Milan, Italy.
Anna SoliniDepartment of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy.ORCID 0000-0002-7855-8253
Enzo BonoraDivision of Endocrinology, Diabetes and Metabolism, University and Hospital Trust of Verona, Verona, Italy.ORCID 0000-0003-1074-5164
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.
Gabriella GrudenDepartment of Internal Medicine, University of Turin, Turin, Italy.
Luigi LaviolaDepartment of Emergency and Transplants, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, Bari, Italy.
Antonio NicolucciCentre for Outcomes Research and Clinical Epidemiology (CORESEARCH), Pescara, Italy.
Giuseppe PuglieseDepartment of Clinical and Molecular Medicine, "La Sapienza" University, Rome, Italy giuseppe.pugliese@uniroma1.it.ORCID 0000-0003-1574-0397
Renal Insufficiency And Cardiovascular Events (RIACE) Study Group
University of Pisa · ITUniversity of Turin · ITCenter for Outcomes Research and Clinical Epidemiology · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITOspedale Papa Giovanni XXIII · ITSapienza University of Rome · ITUniversity of Bari Aldo Moro · ITUniversity of Padua · ITUniversity of Siena · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn addition to favoring renal disease progression, renal 'hyperfiltration' has been associated with an increased risk of death, though it is unclear whether and how excess mortality is related to increased renal function. We investigated whether renal hyperfiltration is an independent predictor of death in patients with type 2 diabetes from the Renal Insufficiency And Cardiovascular Events Italian multicenter study. RESEARCH DESIGN AND

methodsThis observational, prospective cohort study enrolled 15 773 patients with type 2 diabetes consecutively attending 19 Italian diabetes clinics in 2006-2008. Serum creatinine, albuminuria, cardiovascular risk factors, and complications/comorbidities were assessed at baseline. Vital status on 31 October 2015 was retrieved for 15 656 patients (99.26%). Patients were stratified (A) by absolute estimated glomerular filtration rate (eGFR) values in eGFR deciles or Kidney Disease: Improving Global Outcomes (KDIGO) categories and (B) based on age-corrected thresholds or age and gender-specific 95th and 5th percentiles in hyperfiltration, hypofiltration, and normofiltration groups.

resultsThe highest eGFR decile/category and the hyperfiltration group included (partly) different individuals with similar clinical features. Age and gender-adjusted death rates were significantly higher in deciles 1, 9, and 10 (≥103.9, 50.9-62.7, and <50.9 mL/min/1.73 m

conclusionsIn type 2 diabetes, both high-normal eGFR and hyperfiltration are associated with an increased risk of death from any cause, independent of confounders that may directly impact on mortality and/or affect GFR estimation. Further studies are required to clarify the nature of this relationship. TRIAL REGISTRATION NUMBER: NCT00715481.

Indexed as

Diabetes Mellitus, Type 2AlbuminuriaGlomerular Filtration RateHumansItalyProspective Studiesdiabetes mellitus, type 2kidney diseasesmortality

Identifiers

PMID32665314
PMCPMC7365485
OpenAlexW3042872360

What OpenQuestion holds

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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.