Evidence map›Paper›PMID 29183273›Full record

ArticleBMC nephrology2017

Impact of the estimation equation for GFR on population-based prevalence estimates of kidney dysfunction.

Pietro Trocchi, Matthias Girndt, Christa Scheidt-Nave, Silke Markau, Andreas Stang

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Systemic determinants of brain health in ageing.Nature reviews. Neurology · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. High Unawareness of Chronic Kidney Disease in Germany.International journal of environmental research and public health · 2021
    Article
  11. Review
  12. Article
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

5 authors at 3 institutions in 2 countries.

Pietro TrocchiCenter of Clinical Epidemiology, c/o Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany. pietro.trocchi@uk-essen.de.
Matthias GirndtDepartment of Internal Medicine II, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
Christa Scheidt-NaveDepartment of Epidemiology and Health Monitoring, Robert Koch-Institute, General-Pape-Str. 62-66, 12101, Berlin, Germany.
Silke MarkauDepartment of Internal Medicine II, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Str. 40, 06120, Halle (Saale), Germany.
Andreas StangCenter of Clinical Epidemiology, c/o Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Hufelandstr. 55, 45147, Essen, Germany.
Institut für Medizinische Informatik, Biometrie und Epidemiologie · DEMartin Luther University Halle-Wittenberg · DERobert Koch Institute · DE

Funding

Kuratorium für Dialyse und Nierentransplantation (KfH) Not applicable
6 · The paper itself

Abstract

backgroundEstimating equations are recommended by clinical guidelines as the preferred method for assessment of glomerular filtration rate (GFR). The aim of the study was to compare population-based prevalence estimates of decreased kidney function in Germany defined by an estimated GFR (eGFR) <60 ml/min/1.73m

methodsThe study included 7001 participants of the German Health Interview and Examination Survey for Adults 2008-2011 (DEGS1) for whom GFR was estimated using the Modification of Diet in Renal Disease study equation (MDRD), the revised Lund-Malmö equation (LM), the Full Age Spectrum creatinine equation (FAScre), the Chronic Kidney Disease Epidemiology Collaboration equations with creatinine and cystatin C (CKD-EPIcrecys), with creatinine (CKD-EPIcre) and with cystatin C (CKD-EPIcys). Bland-Altman plots were used to evaluate the agreement between the equations.

resultsPrevalence estimates of decreased kidney function were: 2.1% (CKD-EPIcys), 2.3% (CKD-EPIcrecys), 3.8% (CKD-EPIcre), 5.0% (MDRD), 6.0% (LM) and 6.9% (FAScre). The systematic differences between the equations were smaller by comparing either equations that include serum cystatin C or equations that include serum creatinine alone and increased considerably by increasing eGFR.

conclusionsPrevalence estimates of decreased kidney function vary considerably according to the equation used for estimating GFR. Equations that include serum cystatin C provide lower prevalence estimates if compared with equations based on serum creatinine alone. However, the analysis of the agreement between the equations according to eGFR provides evidence that the equations may be used interchangeably among persons with pronounced decreased kidney function. The study illustrates the implications of the choice of the estimating equation in an epidemiological setting.

Indexed as

AdultAgedCross-Sectional StudiesFemaleGlomerular Filtration RateHealth SurveysHumansKidney Function TestsLongitudinal StudiesMaleMiddle AgedPrevalenceRenal InsufficiencyYoung AdulteGFR equationEpidemiologyPrevalenceRenal dysfunction

Identifiers

PMID29183273
PMCPMC5706394
OpenAlexW2770935262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.