Evidence map›Paper›PMID 42496793›Full record

ArticleInternational urology and nephrology2026

Retrospective and comparative assessment of MDRD, CKD-EPI, and EKFC equations for estimating glomerular filtration rate in a clinically heterogeneous hospital population.

Matteo Baldetti, Riccardo Belardi, Silvia Velocci, Riccardo Luffarelli, Stefano Di Carlo, Sergio Bernardini, Alessandro Terrinoni, Marilena Minieri

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Matteo BaldettiDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Riccardo BelardiDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Silvia VelocciDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Riccardo LuffarelliDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Stefano Di CarloUnit of Laboratory Medicine, University Hospital of Rome Tor Vergata, Viale Oxford, 81, 00133, Rome, Italy.
Sergio BernardiniDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.
Alessandro TerrinoniDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy. alessandro.terrinoni@uniroma2.it.
Marilena MinieriDepartment of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is projected to become the fifth leading cause of death by 2040. Accurate estimation of glomerular filtration rate (eGFR) is essential for diagnosis, staging, and management. Our laboratory still uses Modification of Diet in Renal Disease (MDRD) traceable to the Isotope Dilution Mass Spectrometry (IDMS) equation, which is now considered outdated due to reduced accuracy at higher eGFR values. More recent equations may offer improved performance. This study aimed to compare these four eGFR equations from both analytical and clinical perspectives to support the change of equation used in our laboratory.

methodsRetrospectively, this study compared the routinely used MDRD equation with alternative eGFR formulas in order to evaluate the impact of adopting newer equations.

resultsThe study population included 1438 patients (886 males and 552 females; mean ages of 60 and 63 years for males and females, respectively). MDRD-IDMS showed limited consistency above 80 mL/min/1.73 m

conclusionsBoth CKD-EPI 2009 and EKFC proved to be suitable alternatives to MDRD-IDMS. However, CKD-EPI 2009 was identified as the most potentially appropriate equation for implementation in our hospital setting due to the characteristics of the served population and its balanced impact on CKD stage reclassification.

Indexed as

CKD-EPI 2009eGFREKFCKDIGOMDRD-IDMS

Identifiers

PMID42496793

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.