Evidence map›Paper›PMID 26932693›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2016

An estimated glomerular filtration rate equation for the full age spectrum.

Hans Pottel, Liesbeth Hoste, Laurence Dubourg, Natalie Ebert, Elke Schaeffner, Bjørn Odvar Eriksen, Toralf Melsom, Edmund J Lamb, Andrew D Rule, Stephen T Turner and 6 more

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

246 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Hans PottelDepartment of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
Liesbeth HosteDepartment of Public Health and Primary Care, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium.
Laurence DubourgExploration Fonctionnelle Rénale, Groupement Hospitalier Edouard Herriot, Hospices Civils de Lyon, Lyon, France.
Natalie EbertCharité University Hospital, Institute of Public Health, Berlin, Germany.
Elke SchaeffnerCharité University Hospital, Institute of Public Health, Berlin, Germany.
Bjørn Odvar EriksenMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Toralf MelsomMetabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway.
Edmund J LambClinical Biochemistry, East Kent Hospitals University NHS Foundation Trust, Canterbury, Kent, UK.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Stephen T TurnerDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Richard J GlassockEmeritus Professor of Medicine, Geffen School of Medicine at UCLA, Laguna Niguel, CA, USA.
Vandréa De SouzaUniversidade Federal do Rio Grande do Sul, FAMED - Programa de Pós Graduação em Saúde da Criança e do Adolescente, Porto Alegre, Brazil.
Luciano SelistrePontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
Christophe MariatService de Néphrologie, Dialyse et Transplantation Rénale, Hôpital Nord, CHU de Saint-Etienne, Saint-Etienne, France.
Frank MartensDepartment of Clinical Chemistry, AZ Groeninge Hospital, Kortrijk, Belgium.
Pierre DelanayeNephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium.

Funding

VISUALIZATION AND PATHOPHYSIOLOGY OF RENAL STONE PRECURSOR LESIONSU54DK100227 · NIDDK · MAYO CLINIC ROCHESTER · PI MCCOLLOUGH, CYNTHIA H · 2013 to 2017
$6.3M
Genetics of Chronic Kidney DiseaseR01DK073537 · NIDDK · MAYO CLINIC ROCHESTER · PI TURNER, STEPHEN T · 2006 to 2010
$2.4M
NIDDK NIH HHS R01 DK073537NIDDK NIH HHS U54 DK100227
6 · The paper itself

Abstract

backgroundGlomerular filtration rate (GFR) is accepted as the best indicator of kidney function and is commonly estimated from serum creatinine (SCr)-based equations. Separate equations have been developed for children (Schwartz equation), younger and middle-age adults [Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation] and older adults [Berlin Initiative Study 1 (BIS1) equation], and these equations lack continuity with ageing. We developed and validated an equation for estimating the glomerular filtration rate that can be used across the full age spectrum (FAS).

methodsThe new FAS equation is based on normalized serum creatinine (SCr/Q), where Q is the median SCr from healthy populations to account for age and sex. Coefficients for the equation are mathematically obtained by requiring continuity during the paediatric-adult and adult-elderly transition. Research studies containing a total of 6870 healthy and kidney-diseased white individuals, including 735 children, <18 years of age, 4371 adults, between 18 and 70 years of age, and 1764 older adults, ≥70 years of age with measured GFR (inulin, iohexol and iothalamate clearance) and isotope dilution mass spectrometry-equivalent SCr, were used for the validation. Bias, precision and accuracy (P30) were evaluated.

resultsThe FAS equation was less biased [-1.7 (95% CI -3.4, -0.2) versus 6.0 (4.5, 7.5)] and more accurate [87.5% (85.1, 89.9) versus 83.8% (81.1, 86.5)] than the Schwartz equation for children and adolescents; less biased [5.0 (4.5, 5.5) versus 6.3 (5.9, 6.8)] and as accurate [81.6% (80.4, 82.7) versus 81.9% (80.7, 83.0)] as the CKD-EPI equation for young and middle-age adults; and less biased [-1.1 (-1.6, -0.6) versus 5.6 (5.1, 6.2)] and more accurate [86.1% (84.4, 87.7) versus 81.8% (79.7, 84.0)] than CKD-EPI for older adults.

conclusionsThe FAS equation has improved validity and continuity across the full age-spectrum and overcomes the problem of implausible eGFR changes in patients which would otherwise occur when switching between more age-specific equations.

Indexed as

Glomerular Filtration RateModels, TheoreticalAdolescentAdultAgedAge FactorsBiomarkersChildChild, PreschoolCohort StudiesFemaleHumansInfantKidneyKidney Function TestsMaleBiomarkersdevelopment and validationFAS eGFR equationhealthy and kidney-diseased subjects

Identifiers

PMID26932693
PMCPMC4848755

What OpenQuestion holds

Textmetadata
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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.