Evidence map›Paper›PMID 33322021›Full record

ArticleJournal of clinical medicine2020

Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation.

Jonathan Dash, Thomas Verissimo, Anna Faivre, Lena Berchtold, Thierry Berney, Jérôme Pugin, Sophie de Seigneux, David Legouis

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 2 institutions in 1 country.

Jonathan DashDivision of Internal Medicine, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Thomas VerissimoLaboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Anna FaivreLaboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Lena BerchtoldDivision of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0001-8815-4263
Thierry BerneyDivision of Transplantation, Department of Surgery, University Hospitals of Geneva, 1205 Geneva, Switzerland.
Jérôme PuginDivision of Intensive Care, Department of Acute Medicine, University Hospital of Geneva, 1205 Geneva, Switzerland.
Sophie de SeigneuxLaboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
David LegouisLaboratory of Nephrology, Department of Medicine, University Hospitals of Geneva, 1205 Geneva, Switzerland.
University Hospital of Geneva · CHUniversity of Geneva · CH

Funding

Fondation Privée des Hôpitaux Universitaires de Genève STARTER RS03-25Hôpitaux Universitaires de Genève PRD 20-2017-ISchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 323530_191224
6 · The paper itself

Abstract

backgroundRapid identification of patients at high risk for slow graft function (SGF) is of major importance in the immediate period following renal graft transplantation, both for early therapeutic decisions and long-term prognosis. Due to the high variability of serum creatinine levels after surgery, glomerular filtration rate (GFR) estimation is challenging. In this situation, kinetic estimated GFR (KeGFR) equations are interesting tools but have never been assessed for the identification of SGF patients.

methodsWe conducted a single-center retrospective cohort study, including all consecutive kidney allograft recipients in the University Hospitals of Geneva from 2008 to 2016. GFR was estimated using both CKD-EPI and KeGFR formulae. Their accuracies for SGF prediction were compared. Patients were followed up for one year after transplantation.

resultsA total of 326 kidney recipients were analyzed. SGF occurred in 76 (23%) patients. KeGFR estimation stabilized from the day following kidney transplantation, more rapidly than CKD-EPI. Discrimination ability for SGF prediction was better for KeGFR than CKD-EPI (AUC 0.82 and 0.66,

conclusionKeGFR computed from the first day after renal transplantation was able to predict SGF with good discrimination, outperforming CKD-EPI estimation. SGF patients had lower renal graft function overall at the one-year follow up.

Indexed as

CKD-EPIGFRtransplantation

Identifiers

PMID33322021
PMCPMC7763889
OpenAlexW3110956479

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.