Evidence map›Paper›PMID 38433228›Full record

ArticleScientific reports2024

The error of estimated GFR in predialysis care.

Beatriz Escamilla-Cabrera, Sergio Luis-Lima, Eduardo Gallego-Valcarce, Nuria Victoria Sánchez-Dorta, Natalia Negrín-Mena, Laura Díaz-Martín, Coriolano Cruz-Perera, Ana Monserrat Hernández-Valles, Federico González-Rinne, María José Rodríguez-Gamboa and 14 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

24 authors at 4 institutions in 1 country.

Beatriz Escamilla-CabreraNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Sergio Luis-LimaDepartment of Laboratory Medicine, Complejo Hospitalario Universitario de Canarias, Tenerife, Spain.
Eduardo Gallego-ValcarceNephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, Spain.
Nuria Victoria Sánchez-DortaNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Natalia Negrín-MenaLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain.
Laura Díaz-MartínLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain.
Coriolano Cruz-PereraLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain.
Ana Monserrat Hernández-VallesNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Federico González-RinneLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain.
María José Rodríguez-GamboaNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Sara Estupiñán-TorresNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Rosa Miquel-RodríguezNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
María Ángeles Cobo-CasoNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Patricia Delgado-MallénNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Gema Fernández-SuárezNephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, Spain.
Ana González-RinneNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Grimanesa Hernández-BarrosoDepartment of Laboratory Medicine, Complejo Hospitalario Universitario de Canarias, Tenerife, Spain.
Alejandra González-DelgadoDepartment of Laboratory Medicine, Complejo Hospitalario Universitario de Canarias, Tenerife, Spain.
Armando Torres-RamírezNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Alejandro Jiménez-SosaResearch Unit, Hospital Universitario de Canarias, La Laguna, Spain.
Alberto OrtizFaculty of Medicine, Universidad Autónoma de Madrid. IIS-Fundación Jiménez Díaz. RICORS, Madrid, Spain.
Flavio GaspariLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain.
Domingo Hernández-MarreroNephrology Department, Complejo Hospitalario Universitario de Canarias, La Laguna, Spain.
Esteban Luis PorriniLaboratory of Renal Function (LFR), Faculty of Medicine, Complejo Hospitalario Universitario de Canarias, University of La Laguna, La Laguna, Spain. esteban.l.porrini@gmail.com.
Hospital Universitario de Canarias · ESUniversidad de La Laguna · ESHospital Universitario Fundación Alcorcón · ESUniversidad Autónoma de Madrid · ES

Funding

Fundación Canaria Instituto de Investigación Sanitaria de Canarias PIFIISC20/53
6 · The paper itself

Abstract

The error of estimated glomerular filtration rate (eGFR) and its consequences in predialysis are unknown. In this prospective multicentre study, 315 predialysis patients underwent measured GFR (mGFR) by the clearance of iohexol and eGFR by 52 formulas. Agreement between eGFR and mGFR was evaluated by concordance correlation coefficient (CCC), total deviation index (TDI) and coverage probability (CP). In a sub-analysis we assessed the impact of eGFR error on decision-making as (i) initiating dialysis, (ii) preparation for renal replacement therapy (RRT) and (iii) continuing clinical follow-up. For this sub-analysis, patients who started RRT due to clinical indications (uremia, fluid overload, etc.) were excluded. eGFR had scarce precision and accuracy in reflecting mGFR (average CCC 0.6, TDI 70% and cp 22%) both in creatinine- and cystatin-based formulas. Variations -larger than 10 ml/min- between mGFR and eGFR were frequent. The error of formulas would have suggested (a) premature preparation for RTT in 14% of stable patients evaluated by mGFR; (b) to continue clinical follow-up in 59% of subjects with indication for RTT preparation due to low GFRm and (c) to delay dialysis in all asymptomatic patients (n = 6) in whom RRT was indicated based on very low mGFR. The error of formulas in predialysis was frequent and large and may have consequences in clinical care.

Indexed as

Continuous Renal Replacement TherapyRenal DialysisCreatinineGlomerular Filtration RateHumansProspective StudiesCreatinine

Identifiers

PMID38433228
PMCPMC10909958
OpenAlexW4392343321

What OpenQuestion holds

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Registered trials

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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.