Evidence map›Paper›PMID 25386950›Full record

ArticlePLoS medicine2014

The kSORT assay to detect renal transplant patients at high risk for acute rejection: results of the multicenter AART study.

Silke Roedder, Tara Sigdel, Nathan Salomonis, Sue Hsieh, Hong Dai, Oriol Bestard, Diana Metes, Adriana Zeevi, Andrea Zeevi, Albin Gritsch and 12 more

Erratum issued 2 registry-linked trialsAbstract readMulticenter Study
In one paragraph

Article in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–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.

NCT02581436 nacompletednot on this map

Addition of kSORT Assay in the Follow-up of Patients After Kidney Transplantation

TypeinterventionalSponsorInstituto Nacional de Ciencias Medicas y Nutricion Salvador ZubiranRan2014 to 2018Enrolled70ConditionsDisorder Related to Renal Transplantation, Renal Transplant Rejection, Acute Graft RejectionArmskSORT assay based follow-up, Standard follow-up
NCT05335538 unknown statusnot on this mapstarted 2021, after this paper: background citation

The Role of TruGraf® to Optimize Outcomes in Pediatric Renal Transplantation

TypeobservationalSponsorTransplant Genomics, Inc.Ran2021 to 2023Enrolled75ConditionsKidney Transplant RejectionArmsPatients monitored with TruGraf and TRAC testing
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. The Biomarker Revolution in Kidney Transplantation.Journal of clinical medicine · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Detection of Kidney Allograft Rejection Using Urinary Chemokines.Journal of the American Society of Nephrology : JASN · 2025
    Article
  9. Noninvasive Diagnosis of Kidney Allograft Rejection.Journal of the American Society of Nephrology : JASN · 2025
    Review
  10. Review
  11. Biomarkers of Rejection in Kidney Transplantation.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Silke RoedderDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Tara SigdelDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Nathan SalomonisBiomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.
Sue HsiehDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Hong DaiCalifornia Pacific Medical Center, San Francisco, California, United States of America.
Oriol BestardRenal Transplant Unit, Bellvitge University Hospital, Barcelona, Spain.
Diana MetesThomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Adriana Zeevi
Andrea ZeeviThomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Albin GritschImmunogenetics Center, University of California Los Angeles, Los Angeles, California, United States of America.
Jennifer CheesemanDepartment of Surgery, Emory University, Atlanta, Georgia, United States of America.
Camila MacedoThomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Ram PeddyCalifornia Pacific Medical Center, San Francisco, California, United States of America.
Mara MedeirosLaboratorio de Investigacion en Nefrologia, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.
Flavio VincentiDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Nancy AsherDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.
Oscar SalvatierraStanford University, Stanford, California, United States of America.
Ron ShapiroThomas E. Starzl Transplantation Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Allan KirkDepartment of Surgery, Emory University, Atlanta, Georgia, United States of America.
Elaine F Reed
Elaine ReedImmunogenetics Center, University of California Los Angeles, Los Angeles, California, United States of America.
Minnie M SarwalDepartment of Surgery, University of California San Francisco, San Francisco, California, United States of America.

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
Development of Transplant Strategies Uniquely Responsive to the Needs of ChildrenU01AI077821 · NIAID · EMORY UNIVERSITY · PI KIRK, ALLAN D. · 2008 to 2012
$7.5M
Anti-MHC Effects on EndotheliumR01AI042819 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, ELAINE F · 1999 to 2014
$4.0M
NIAID NIH HHS NIH R01 AI042819NIAID NIH HHS R01 AI042819NIAID NIH HHS U01 AI077821NIDDK NIH HHS P30 DK063720PHS HHS NIAID U01AI077821
6 · The paper itself

Abstract

backgroundDevelopment of noninvasive molecular assays to improve disease diagnosis and patient monitoring is a critical need. In renal transplantation, acute rejection (AR) increases the risk for chronic graft injury and failure. Noninvasive diagnostic assays to improve current late and nonspecific diagnosis of rejection are needed. We sought to develop a test using a simple blood gene expression assay to detect patients at high risk for AR. METHODS AND

findingsWe developed a novel correlation-based algorithm by step-wise analysis of gene expression data in 558 blood samples from 436 renal transplant patients collected across eight transplant centers in the US, Mexico, and Spain between 5 February 2005 and 15 December 2012 in the Assessment of Acute Rejection in Renal Transplantation (AART) study. Gene expression was assessed by quantitative real-time PCR (QPCR) in one center. A 17-gene set--the Kidney Solid Organ Response Test (kSORT)--was selected in 143 samples for AR classification using discriminant analysis (area under the receiver operating characteristic curve [AUC] = 0.94; 95% CI 0.91-0.98), validated in 124 independent samples (AUC = 0.95; 95% CI 0.88-1.0) and evaluated for AR prediction in 191 serial samples, where it predicted AR up to 3 mo prior to detection by the current gold standard (biopsy). A novel reference-based algorithm (using 13 12-gene models) was developed in 100 independent samples to provide a numerical AR risk score, to classify patients as high risk versus low risk for AR. kSORT was able to detect AR in blood independent of age, time post-transplantation, and sample source without additional data normalization; AUC = 0.93 (95% CI 0.86-0.99). Further validation of kSORT is planned in prospective clinical observational and interventional trials.

conclusionsThe kSORT blood QPCR assay is a noninvasive tool to detect high risk of AR of renal transplants. Please see later in the article for the Editors' Summary.

Indexed as

AlgorithmsGene ExpressionKidney TransplantationAdolescentAdultArea Under CurveBiomarkersChildGraft RejectionHumansKidneyMexicoMiddle AgedPostoperative ComplicationsReal-Time Polymerase Chain ReactionRisk FactorsBiomarkers

Identifiers

PMID25386950
PMCPMC4227654

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.