Evidence map›Paper›PMID 37213489›Full record

ArticleTransplant international : official journal of the European Society for Organ Transplantation2023

Can We Predict Graft Intolerance Syndrome After Kidney Transplant Failure? External Validation of a Previously Developed Model.

Kim Bunthof, Khalid Saboerali, Jacqueline Van De Wetering, Azam Nurmohamed, Frederike Bemelman, Arjan Van Zuilen, Jan Van Den Brand, Marije Baas, Luuk Hilbrands

Open access · goldAbstract read
In one paragraph

Article in Transplant international : official journal of the European Society for Organ Transplantation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

9 authors at 5 institutions in 1 country.

Kim BunthofDepartment of Nephrology, Radboud University Medical Centre, Nijmegen, Netherlands.
Khalid SaboeraliDepartment of Nephrology, Amsterdam University Medical Center, Amsterdam, Netherlands.
Jacqueline Van De WeteringDepartment of Nephrology, Erasmus Medical Center, Rotterdam, Netherlands.
Azam NurmohamedDepartment of Nephrology, Amsterdam University Medical Center, Amsterdam, Netherlands.
Frederike BemelmanDepartment of Nephrology, Amsterdam University Medical Center, Amsterdam, Netherlands.
Arjan Van ZuilenDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, Netherlands.
Jan Van Den BrandResearch Suite, Erasmus Medical Center, Rotterdam, Netherlands.
Marije BaasDepartment of Nephrology, Radboud University Medical Centre, Nijmegen, Netherlands.
Luuk HilbrandsDepartment of Nephrology, Radboud University Medical Centre, Nijmegen, Netherlands.
Amsterdam University Medical Centers · NLErasmus MC · NLRadboud University Nijmegen · NLRadboud University Medical Center · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously we established a prediction model for graft intolerance syndrome requiring graft nephrectomy in patients with late kidney graft failure. The aim of this study is to determine generalizability of this model in an independent cohort. The validation cohort included patients with late kidney graft failure between 2008 and 2018. Primary outcome is the prognostic performance of our model, expressed as the area under the receiver operating characteristic curve (ROC-AUC), in the validation cohort. In 63 of 580 patients (10.9%) a graft nephrectomy was performed because of graft intolerance. The original model, which included donor age, graft survival and number of acute rejections, performed poorly in the validation cohort (ROC-AUC 0.61). After retraining of the model using recipient age at graft failure instead of donor age, the model had an average ROC-AUC of 0.70 in the original cohort and of 0.69 in the validation cohort. Our original model did not accurately predict the graft intolerance syndrome in a validation cohort. However, a retrained model including recipient age at graft failure instead of donor age performed moderately well in both the development and validation cohort enabling identification of patients with the highest and lowest risk of graft intolerance syndrome.

Indexed as

Kidney TransplantationHumansPrognosisRetrospective StudiesRisk AssessmentROC CurveSyndromeTissue Donorsexternal validationgraft intolerance syndromegraft nephrectomykidney graft failureprediction model

Identifiers

PMID37213489
PMCPMC10195885
OpenAlexW4377221222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.