Evidence map›Paper›PMID 27829460›Full record

Trial reportBMC medicine2016

Renal function estimation and Cockroft-Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart 'OMics' in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives.

João Pedro Ferreira, Nicolas Girerd, Pierpaolo Pellicori, Kevin Duarte, Sophie Girerd, Marc A Pfeffer, John J V McMurray, Bertram Pitt, Kenneth Dickstein, Lotte Jacobs and 14 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-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

21 citing papers in PubMed, 58 citations in OpenAlex.

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  11. Guideline-directed medical therapy in real-world heart failure patients with low blood pressure and renal dysfunction.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 12 institutions in 7 countries.

João Pedro FerreiraINSERM, Centre d'Investigations Cliniques Plurithématique 1433, INSERM U1116, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
Nicolas GirerdINSERM, Centre d'Investigations Cliniques Plurithématique 1433, INSERM U1116, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
Pierpaolo PellicoriAcademic Cardiology Unit, University of Hull, Castle Hill Hospital, Kingston upon Hull, UK.
Kevin DuarteUniversité de Lorraine, Institut Elie Cartan de Lorraine, UMR 7502,, Vandoeuvre-lès-Nancy, F-54506, France.
Sophie GirerdINSERM, Centre d'Investigations Cliniques Plurithématique 1433, INSERM U1116, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
Marc A PfefferDivision of Cardiovascular Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, 02115, USA.
John J V McMurrayBHF Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland, UK.
Bertram PittDepartment of Medicine, University of Michigan School of Medicine, Ann Arbor, MA, USA.
Kenneth DicksteinDepartment of Cardiology, University of Bergan, Stavanger University Hospital, Stavanger, Norway.
Lotte JacobsStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jan A StaessenStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Javed ButlerCardiology Division, Stony Brook University, Stony Brook, NY, USA.
Roberto LatiniLaboratory of Cardiovascular Clinical Pharmacology, IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Milan, Italy.
Serge MassonLaboratory of Cardiovascular Clinical Pharmacology, IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Milan, Italy.
Alexandre MebazaaHôpital Lariboisière, Université Paris Diderot, Inserm 942, Paris, France.
Hans Peter Brunner-La RoccaCardiovascular Research Institute Maastricht, Maastricht University Medical Centre, Maastricht, The Netherlands Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Christian DellesBHF Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland, UK.
Stephane HeymansDepartment of Cardiology, Maastricht University Medical Center, Postbox 5800, 6202, AZ, Maastricht, The Netherlands.
Naveed SattarBHF Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland, UK.
J Wouter JukemaDepartment of Cardiology and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.
John G ClelandNational Heart and Lung Institute, Imperial College London (Royal Brompton and Harefield Hospitals) Department of Cardiology, Castle Hill Hospital, University of Hull, Hull, UK.
Faiez ZannadINSERM, Centre d'Investigations Cliniques Plurithématique 1433, INSERM U1116, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France.
Patrick RossignolINSERM, Centre d'Investigations Cliniques Plurithématique 1433, INSERM U1116, Université de Lorraine, CHRU de Nancy, F-CRIN INI-CRCT, Nancy, France. p.rossignol@chru-nancy.fr.
Heart ‘OMics’ in AGEing (HOMAGE) initiative and the High-Risk Myocardial Infarction database initiative
Inserm · FRBrigham and Women's Hospital · USMario Negri Institute for Pharmacological Research · ITUniversity Medical Center · USUniversity of Hull · GBUniversity of Michigan · USCentre National de la Recherche Scientifique · FRKU Leuven · BELeiden University Medical Center · NLMaastricht University Medical Centre · NLStavanger University Hospital · NOStony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal impairment is a major risk factor for mortality in various populations. Three formulas are frequently used to assess both glomerular filtration rate (eGFR) or creatinine clearance (CrCl) and mortality prediction: body surface area adjusted-Cockcroft-Gault (CG-BSA), Modification of Diet in Renal Disease Study (MDRD4), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The CKD-EPI is the most accurate eGFR estimator as compared to a "gold-standard"; however, which of the latter is the best formula to assess prognosis remains to be clarified. This study aimed to compare the prognostic value of these formulas in predicting the risk of cardiovascular mortality (CVM) in population-based, cardiovascular risk, heart failure (HF) and post-myocardial infarction (MI) cohorts.

methodsTwo previously published cohorts of pooled patient data derived from the partners involved in the HOMAGE-consortium and from four clinical trials - CAPRICORN, EPHESUS, OPTIMAAL and VALIANT - the high risk MI initiative, were used. A total of 54,111 patients were included in the present analysis: 2644 from population-based cohorts; 20,895 from cardiovascular risk cohorts; 1801 from heart failure cohorts; and 28,771 from post-myocardial infarction cohorts. Participants were patients enrolled in the respective cohorts and trials. The primary outcome was CVM.

resultsAll formulas were strongly and independently associated with CVM. Lower eGFR/CrCl was associated with increasing CVM rates for values below 60 mL/min/m

conclusionsThe CG-BSA formula was slightly more accurate in predicting CVM in CV risk, HF, and post-MI cohorts (but not in population-based cohorts). However, the CG-BSA discriminative improvement was globally low compared to MDRD4 and especially CKD-EPI, the latter offering the best compromise between renal function estimation and CVM prediction.

Indexed as

Population SurveillanceAdultAgedAged, 80 and overAgingCardiovascular DiseasesCohort StudiesDatabases, FactualFemaleGlomerular Filtration RateHeart FailureHumansKidneyMaleMiddle AgedMyocardial InfarctionCardiovascular mortality predictionCardiovascular riskGlomerular filtration rate formulasHeart failure and post-myocardial infarction cohortsPopulation basedRenal function

Identifiers

PMID27829460
PMCPMC5103492
OpenAlexW2555022685

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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.