Evidence map›Paper›PMID 32188722›Full record

ArticleScience translational medicine2020

A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection.

Joshua Y C Yang, Reuben D Sarwal, Tara K Sigdel, Izabella Damm, Ben Rosenbaum, Juliane M Liberto, Chitranon Chan-On, José M Arreola-Guerra, Josefina Alberu, Flavio Vincenti and 1 more

Abstract read
In one paragraph

Article in Science translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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.

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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Immune Biomarkers of Islet Transplant Rejection Revealed by Synthetic Immunological Niche.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

11 authors.

Joshua Y C YangDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-2410-7817
Reuben D SarwalDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-0394-968X
Tara K SigdelDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-8448-0328
Izabella DammDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Ben RosenbaumDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-3903-0886
Juliane M LibertoDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-1927-5058
Chitranon Chan-OnDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
José M Arreola-GuerraDepartment of Surgery, University of Mexico, Instituto Nacional de Ciencias Medicas y Nutricion, Ciudad de México, CDMX 14080, Mexico.
Josefina AlberuDepartment of Surgery, University of Mexico, Instituto Nacional de Ciencias Medicas y Nutricion, Ciudad de México, CDMX 14080, Mexico.
Flavio VincentiDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
Minnie M SarwalDepartment of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA. minnie.sarwal@ucsf.edu.ORCID 0000-0003-1212-3959

Funding

Novel Therapies to Modulate the Inflammatory Alloresponse in Renal GraftsU01AI113362 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VINCENTI, FLAVIO · 2014 to 2023
$15.2M
Project 3: Mapping the Evolution of Chronic Transplant Injury in the Context of CMV InfectionU19AI128913 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, ELAINE F · 2017 to 2021
$11.2M
The KIDCOV Study: Assessment of Kidney Injury and Associated Risk Factors for SARS-CoV-2R01DK109720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REISER, JOCHEN, SARWAL, MINNIE M · 2017 to 2021
$3.2M
NIAID NIH HHS U19 AI128913NIDDK NIH HHS R01 DK109720
6 · The paper itself

Abstract

Accurate and noninvasive monitoring of renal allograft posttransplant is essential for early detection of acute rejection (AR) and to affect the long-term survival of the transplant. We present the development and validation of a noninvasive, spot urine-based diagnostic assay based on measurements of six urinary DNA, protein, and metabolic biomarkers. The performance of this assay for detecting kidney injury in both native kidneys and renal allografts is presented on a cohort of 601 distinct urine samples. The urinary composite score enables diagnosis of AR, with a receiver-operator characteristic curve area under the curve of 0.99 and an accuracy of 96%. In addition, we demonstrate the clinical utility of this assay for predicting AR before a rise in the serum creatinine, enabling earlier detection of rejection than currently possible by standard of care tests. This noninvasive, sensitive, and quantitative approach is a robust and informative method for the rapid and routine monitoring of renal allografts.

Indexed as

Kidney TransplantationBiomarkersGraft RejectionHumansKidneyPostoperative ComplicationsBiomarkers

Identifiers

PMID32188722
PMCPMC8289390

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.