Evidence map›Paper›PMID 27417226›Full record

ArticleClinical pharmacokinetics2017

Discrepancies between the Cockcroft-Gault and Chronic Kidney Disease Epidemiology (CKD-EPI) Equations: Implications for Refining Drug Dosage Adjustment Strategies.

Pierre Delanaye, Fabrice Guerber, André Scheen, Timothy Ellam, Antoine Bouquegneau, Dorra Guergour, Christophe Mariat, Hans Pottel

Open access · greenAbstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
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  4. Discordance in GFR Estimating Equations and Dosing Guidance by Body Mass Index and Age.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
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  6. Review
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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

8 authors at 5 institutions in 3 countries.

Pierre DelanayeDivision of Nephrology, Dialysis and Transplantation, CHU Sart Tilman, University of Liège (ULg-CHU), 4000, Liège, Belgium. pierre_delanaye@yahoo.fr.
Fabrice GuerberOriade Laboratory, Vizille, France.
André ScheenDivision of Clinical Pharmacology, Center for Interdisciplinary Research on Medicines, University of Liège, Liège, Belgium.
Timothy EllamSheffield Kidney Institute, Northern General Hospital and Department of Infection, Immunity and Cardiovascular Science, University of Sheffield, Sheffield, UK.
Antoine BouquegneauDivision of Nephrology, Dialysis and Transplantation, CHU Sart Tilman, University of Liège (ULg-CHU), 4000, Liège, Belgium.
Dorra GuergourBiochemistry Laboratory, Grenoble University Hospital, Grenoble, France.
Christophe MariatDivision of Nephrology, Dialysis, Transplantation and Hypertension, CHU Hôpital Nord, University Jean Monnet, PRES Université de LYON, Saint-Etienne, France.
Hans PottelDepartment of Public Health and Primary Care, KU, Leuven Kulak, Kortrijk, Belgium.
University of Liège · BEHôpital Nord · FRKU Leuven · BELaboratoire de Biochimie · FRNorthern General Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe dosages of many medications require adjustment for renal function. There is debate regarding which equation, the Chronic Kidney Disease Epidemiology (CKD-EPI) equation vs. the Cockcroft-Gault (CG) equation, should be recommended to estimate glomerular filtration rate.

methodsWe used a mathematical simulation to determine how patient characteristics influence discrepancies between equations and analyzed clinical data to demonstrate the frequency of such discrepancies in clinical practice. In the simulation, the modifiable variables were sex, age, serum creatinine, and weight. We considered estimated glomerular filtration rate results in mL/min, deindexed for body surface area, because absolute excretory function (rather than per 1.73 m

resultsIn the simulation, differences between the two equations were found to be influenced by each variable but age and weight had the biggest effect. Clinical sample data demonstrated concordance between CKD-EPI and CG results in 4080 patients (45 %). The majority of discordant results reflected a CG result lower than the CKD-EPI equation. With aging, the CG result became progressively lower than the CKD-EPI result. When weight increased, the opposite occurred. DISCUSSION: The choice of equation for excretory function adjustment of drug dosage will have different implications for patients of different ages and body habitus.

conclusionsThe optimum equation for drug dosage adjustment should be defined with consideration of individual patient characteristics.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overCohort StudiesDose-Response Relationship, DrugFemaleGlomerular Filtration RateHumansMaleMiddle AgedPharmaceutical PreparationsRenal Insufficiency, ChronicYoung AdultPharmaceutical Preparations

Identifiers

PMID27417226
OpenAlexW2465803531

What OpenQuestion holds

Textmetadata
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.