Evidence map›Paper›PMID 37398686›Full record

ArticleClinical kidney journal2023

A pre-transplantation risk assessment tool for graft survival in Dutch pediatric kidney recipients.

Loes Oomen, Huib de Jong, Antonia H M Bouts, Mandy G Keijzer-Veen, Elisabeth A M Cornelissen, Liesbeth L de Wall, Wout F J Feitz, Charlotte M H H T Bootsma-Robroeks

Registry-linked trialAbstract read
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05388955 (A Pre-transplantation Risk Assessment Tool for Graft Survival After Pediatric Kidney Transplantation Based on 1425 Dutch Transplantations), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT05388955 completednot on this map

A Pre-transplantation Risk Assessment Tool for Graft Survival After Pediatric Kidney Transplantation Based on 1425 Dutch Transplantations

TypeobservationalSponsorRadboud University Medical CenterRan1966 to 2022Enrolled1,425ConditionsKidney Transplant Failure and Rejection, Pediatric Kidney DiseaseArmsNone, transplantation recipients
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  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

8 authors.

Loes OomenDepartment of Urology, Division of Pediatric Urology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0003-0555-104X
Huib de JongDepartment of Pediatric Nephrology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.
Antonia H M BoutsDepartment of Pediatric Nephrology, Amsterdam University Medical Center, Emma Children's Hospital, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4121-6698
Mandy G Keijzer-VeenDepartment of Pediatric Nephrology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Elisabeth A M CornelissenDepartment of Pediatric Nephrology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands.
Liesbeth L de WallDepartment of Urology, Division of Pediatric Urology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands.
Wout F J FeitzDepartment of Urology, Division of Pediatric Urology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands.
Charlotte M H H T Bootsma-RobroeksDepartment of Pediatric Nephrology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A prediction model for graft survival including donor and recipient characteristics could help clinical decision-making and optimize outcomes. The aim of this study was to develop a risk assessment tool for graft survival based on essential pre-transplantation parameters. Methods: The data originated from the national Dutch registry (NOTR; Nederlandse OrgaanTransplantatie Registratie). A multivariable binary logistic model was used to predict graft survival, corrected for the transplantation era and time after transplantation. Subsequently, a prediction score was calculated from the β-coefficients. For internal validation, derivation (80%) and validation (20%) cohorts were defined. Model performance was assessed with the area under the curve (AUC) of the receiver operating characteristics curve, Hosmer-Lemeshow test and calibration plots. Results: In total, 1428 transplantations were performed. Ten-year graft survival was 42% for transplantations before 1990, which has improved to the current value of 92%. Over time, significantly more living and pre-emptive transplantations have been performed and overall donor age has increased ( Conclusions: This pediatric pre-transplantation risk assessment tool exhibits good performance for predicting graft survival within the Dutch pediatric population. This model might support decision-making regarding donor selection to optimize graft outcomes. Trial registration: ClinicalTrials.gov Identifier: NCT05388955.

Indexed as

donor allocationgraft survivalpediatric kidney transplantationprediction model

Identifiers

PMID37398686
PMCPMC10310505

What Socratic holds

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Registered trials

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 Socratic graph.