Evidence map›Paper›PMID 37453485›Full record

Observational studyAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2023

Validation of a prediction system for risk of kidney allograft failure in pediatric kidney transplant recipients: An international observational study.

Julien Hogan, Gillian Divard, Olivier Aubert, Rouba Garro, Olivia Boyer, Lee Alex Donald Cooper, Alton Brad Farris, Marc Fila, Michael Seifert, Anne-Laure Sellier-Leclerc and 10 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Pediatric Kidney Transplantation: A Systematic Review.Children (Basel, Switzerland) · 2026
    Review
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  9. Proceedings of the 2024 Transplant AI Symposium.Frontiers in transplantation · 2024
    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

20 authors at 12 institutions in 3 countries.

Julien HoganUniversité Paris Cité, INSERM, UMR-S970, PARCC, Paris Translational Research Center for Organ Transplantation, Paris, France; Pediatric nephrology department, Robert Debré Hospital, APHP, Paris, France; Emory Transplant Center, Department of Surgery, Emory University, Atlanta, Georgia, USA.
Gillian DivardUniversité Paris Cité, INSERM, UMR-S970, PARCC, Paris Translational Research Center for Organ Transplantation, Paris, France.
Olivier AubertUniversité Paris Cité, INSERM, UMR-S970, PARCC, Paris Translational Research Center for Organ Transplantation, Paris, France.
Rouba GarroPediatric Nephrology Department, Children Healthcare of Atlanta, Emory University, Atlanta, Georgia, USA.
Olivia BoyerPediatric Nephrology, MARHEA Reference Center, INSERM U1163, Imagine Institute, Paris Cité University, Necker-Enfants Malades Hospital, APHP.Centre, Paris, France.
Lee Alex Donald CooperDepartment of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Alton Brad FarrisDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Marc FilaPediatric Nephrology Department, Montpellier University Hospital, Montpellier, France.
Michael SeifertPediatric Nephrology Department, University of Alabama, Birmingham, Alabama, USA.
Anne-Laure Sellier-LeclercPediatric Nephrology Department, Mother and Child University Hospital, HCL, Lyon, France.
Jody SmithPediatric Nephrology Department, Seattle Children, Seattle, New York, USA.
Alexander FichtnerDepartment of Pediatrics I, University Childrens Hospital Heidelberg, Heidelberg, Germany.
Burkhard TönshoffDepartment of Pediatrics I, University Childrens Hospital Heidelberg, Heidelberg, Germany.
Katherine TwombleyPediatric Nephrology Department, Medical University of South Carolina, Charleston, South Carolina, USA.
Bradley WaradyPediatric Nephrology Department, Children's Mercy, Kansas City, Michigan, USA.
Meghan PearlPediatric Nephrology Department, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Rima S ZahrUTHSC Department of Pediatric Nephrology and Hypertension, Le Bonheur Children's Hospital, Memphis, Tennessee, USA.
Carmen LefaucheurUniversité Paris Cité, INSERM, UMR-S970, PARCC, Paris Translational Research Center for Organ Transplantation, Paris, France.
Rachel PatzerEmory Transplant Center, Department of Surgery, Emory University, Atlanta, Georgia, USA.
Alexandre LoupyUniversité Paris Cité, INSERM, UMR-S970, PARCC, Paris Translational Research Center for Organ Transplantation, Paris, France. Electronic address: alexandre.loupy@inserm.fr.
Inserm · FREmory University · USUniversity Hospital Heidelberg · DEChildren's Mercy Hospital · USHospices Civils de Lyon · FRMedical University of South Carolina · USNorthwestern University · USSeattle Children's Hospital · USUniversité de Montpellier · FRUniversity of Alabama · USUniversity of California, Los Angeles · USUniversity of Tennessee Health Science Center · US

Funding

Clinical and Molecular Biomarkers of Endpoints in Pediatric Renal TransplantationR01DK126807 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SEIFERT, MICHAEL EDWARD · 2020 to 2024
$1.5M
A new approach to predict graft outcome from histology in children undergoing kidney transplantation using machine learning methodsR21DK122229 · NIDDK · EMORY UNIVERSITY · PI HOGAN, JULIEN · 2019 to 2020
$461k
NIDDK NIH HHS R01 DK126807NIDDK NIH HHS R21 DK122229
6 · The paper itself

Abstract

Predicting long-term kidney allograft failure is an unmet need for clinical care and clinical trial optimization in children. We aimed to validate a kidney allograft failure risk prediction system in a large international cohort of pediatric kidney transplant recipients. Patients from 20 centers in Europe and the United States, transplanted between 2004 and 2017, were included. Allograft assessment included estimated glomerular filtration rate, urine protein-to-creatinine ratio, circulating antihuman leukocyte antigen donor-specific antibody, and kidney allograft histology. Individual predictions of allograft failure were calculated using the integrative box (iBox) system. Prediction performances were assessed using discrimination and calibration. The allograft evaluations were performed in 706 kidney transplant recipients at a median time of 9.1 (interquartile range, 3.3-19.2) months posttransplant; mean estimated glomerular filtration rate was 68.7 ± 28.1 mL/min/1.73 m

Indexed as

Kidney TransplantationRenal InsufficiencyAdultAllograftsChildCreatinineGlomerular Filtration RateHumansKidneyTransplantation, HomologousTransplant RecipientsUnited StatesCreatinineallograft failureBanff classificationchildrenkidney transplantationpredictive model

Identifiers

PMID37453485
PMCPMC11247401
OpenAlexW4384156292

What OpenQuestion holds

Textmetadata
LicenceTDM
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.