Evidence map›Paper›PMID 31584569›Full record

ArticleClinical kidney journal2019

Impact of errors of creatinine and cystatin C equations in the selection of living kidney donors.

Ana González-Rinne, Sergio Luis-Lima, Beatriz Escamilla, Natalia Negrín-Mena, Ana Ramírez, Adelaida Morales, Nicanor Vega, Patricia García, Elisa Cabello, Domingo Marrero-Miranda and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Clinical kidney journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Diabetic kidney disease, biomarkers, and finerenone.Diabetes, obesity & metabolism · 2026
    Review
  2. Review
  3. Observational
  4. Article
  5. D-Serine as a sensor and effector of the kidney.Clinical and experimental nephrology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. PDGFR-β and kidney fibrosis.EMBO molecular medicine · 2020
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Ana González-RinneNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Sergio Luis-LimaResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Beatriz EscamillaNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Natalia Negrín-MenaResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Ana RamírezNephrology Department, Hospital Universitario Insular, Las Palmas de Gran Canaria, Spain.
Adelaida MoralesNephrology Department, Hospital General de Lanzarote, Arrecife, Spain.
Nicanor VegaNephrology Department, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Spain.
Patricia GarcíaNephrology Department, Hospital Universitario Nuestra Señora de Candelaria, Tenerife, Spain.
Elisa CabelloNephrology Department, Hospital General de La Palma, Santa Cruz de La Palma, Spain.
Domingo Marrero-MirandaNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Ana Aldea-PeronaResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Alejandra AlvarezNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
María Del Carmen AbadNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Lourdes Pérez-TamajónNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Federico González-RinneResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Alejandra González-DelgadoCentral Laboratory, Hospital Universitario de Canarias, Tenerife, Spain.
Laura Díaz MartínResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Alejandro Jiménez-SosaResearch Unit-UCICEC, Hospital Universitario de Canarias, Tenerife, Spain.
Armando TorresNephrology Department, Hospital Universitario de Canarias, Tenerife, Spain.
Esteban PorriniInstituto de Tecnologías Biomédicas (ITB), La Laguna, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReliable determination of glomerular filtration rate (GFR) is crucial in the evaluation of living kidney donors. Although some guidelines recommend the use of measured GFR (mGFR), many centres still rely on estimated GFR (eGFR) obtained through equations or 24-h creatinine clearance. However, eGFR is neither accurate nor precise in reflecting real renal function. We analysed the impact of eGFR errors on evaluation and decision making regarding potential donors.

methodsWe evaluated 103 consecutive living donors who underwent mGFR via iohexol plasma clearance and eGFR by 51 creatinine- and/or cystatin C-based equations. The cut-off for living donation in our centre is GFR > 80 mL/min for donors >35 years of age or 90 mL/min for those <35 years of age. We analysed the misclassification of donors based on the cut-off for donation-based eGFR.

resultsNinety-three subjects (90.3%) had mGFR values above (donors) and 10 [9.7% (95% confidence interval 5.4-17)] below (non-donors) the cut-off. In non-donors, most of the equations gave eGFR values above the cut-off, so donation would have been allowed based on eGFR. All non-donors were female with reduced weight, height and body surface. In donors, up to 32 cases showed eGFR below the cut-off, while mGFR was actually higher. Therefore an important number of donors would not have donated based on eGFR alone.

conclusionThe misclassification of donors around the cut-off for donation is very common with eGFR, making eGFR unreliable for the evaluation of living kidney donors. Whenever possible, mGFR should be implemented in this setting.

Indexed as

estimated GFRliving kidney donationmeasured GFR

Identifiers

PMID31584569
PMCPMC6768301

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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.