Evidence map›Paper›PMID 29791023›Full record

ArticleBritish journal of clinical pharmacology2018

Comparison of the Cockcroft-Gault, MDRD and CKD-EPI equations for estimating ganciclovir clearance.

Maria-Eugenia Palacio-Lacambra, Immaculada Comas-Reixach, Albert Blanco-Grau, Josep-Maria Suñé-Negre, Alfonso Segarra-Medrano, José-Bruno Montoro-Ronsano

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In one paragraph

Article in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Modernizing renal eligibility in oncology trials.Lancet regional health. Americas · 2026
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  19. PrEP-RN: Clinical Considerations and Protocols for Nurse-Led PrEP.The Journal of the Association of Nurses in AIDS Care : JANAC
    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

6 authors.

Maria-Eugenia Palacio-LacambraDepartment of Pharmacy, Vall d'Hebron University Hospital, Barcelona, Spain.ORCID 0000-0001-8261-3270
Immaculada Comas-ReixachDepartment of Biochemistry, Vall d'Hebron University Hospital, Barcelona, Spain.
Albert Blanco-GrauDepartment of Biochemistry, Vall d'Hebron University Hospital, Barcelona, Spain.
Josep-Maria Suñé-NegrePharmacy Faculty, University of Barcelona, Barcelona, Spain.
Alfonso Segarra-MedranoDepartment of Nephrology, Arnau de Vilanova University Hospital, Lleida, Spain.
José-Bruno Montoro-RonsanoDepartment of Pharmacy, Vall d'Hebron University Hospital, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAccurately estimating kidney function is essential for the safe administration of renally cleared drugs such as ganciclovir. Current practice recommends adjusting renally eliminated drugs according to the Cockcroft-Gault equation. There are no data on the utility of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in ganciclovir dosing. To evaluate which renal function equation best predicts ganciclovir clearance.

methodsThe performance of the Cockcroft-Gault equation, isotope dilution mass spectrometry (IDMS)-traceable 4-variable MDRD study (MDRD4-IDMS) equation and CKD-EPI equation in determining ganciclovir clearance were assessed retrospectively in patients treated with ganciclovir from 2004-2015. The MDRD4-IDMS and CKD-EPI equations adjusted to individual body surface area (MDRD4-IDMS·BSA and CKD-EPI·BSA, respectively) were also evaluated. Patients with intravenous ganciclovir peak and trough concentrations in their medical records were included in the study. Ganciclovir clearance was calculated from serum concentrations using a one-compartment model. The five equations were compared based on their predictive ability, the coefficient of determination, through a linear regression analysis. The results were validated in a group of patients.

resultsOne hundred patients were included in the final analysis. Seventy-four patients were analysed in the learning group and 26 in the validation group. The coefficient of determination was 0.281 for Cockcroft-Gault, 0.301 for CKD-EPI·BSA, 0.308 for MDRD4-IDMS·BSA, 0.324 for MDRD4-IDMS and 0.360 for CKD-EPI. Subgroup analysis also showed that CKD-EPI is a better predictor of ganciclovir clearance. Analysis of the validation group confirmed these results.

conclusionsThe CKD-EPI equation correlates better with ganciclovir clearance than the Cockcroft-Gault and MDRD4-IDMS equations, even the clinical difference between the equations is scarce.

Indexed as

Models, BiologicalAdministration, IntravenousAdultAgedAged, 80 and overAntiviral AgentsArea Under CurveCytomegalovirus InfectionsDose-Response Relationship, DrugDrug Dosage CalculationsFemaleGanciclovirGlomerular Filtration RateHumansMaleMetabolic Clearance RateAntiviral AgentsGanciclovirCKD-EPI equationclearanceCockcroft-Gault equationganciclovirMDRD study equationrenal dosage adjustments

Identifiers

PMID29791023
PMCPMC6089827

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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.