Evidence map›Paper›PMID 31568213›Full record

Observational studyTransplantation2020

Urine Injury Biomarkers Are Not Associated With Kidney Transplant Failure.

Neel Koyawala, Peter P Reese, Isaac E Hall, Yaqi Jia, Heather R Thiessen-Philbrook, Sherry G Mansour, Mona D Doshi, Enver Akalin, Jonathan S Bromberg, Meera N Harhay and 6 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

16 authors at 9 institutions in 2 countries.

Neel KoyawalaSchool of Medicine, Johns Hopkins University, Baltimore, MD.
Peter P ReeseDepartment of Medicine, Renal-Electrolyte and Hypertension Division, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Isaac E HallDepartment of Internal Medicine, Division of Nephrology and Hypertension, University of Utah School of Medicine, Salt Lake City, UT.
Yaqi JiaDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD.
Heather R Thiessen-PhilbrookDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD.
Sherry G MansourProgram of Applied Translational Research, Yale University School of Medicine, New Haven, CT.
Mona D DoshiDepartment of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, MI.
Enver AkalinDepartment of Internal Medicine, Division of Nephrology, Albert Einstein College of Medicine, Bronx, NY.
Jonathan S BrombergDepartment of Surgery, Division of Transplantation, University of Maryland School of Medicine, Baltimore, MD.
Meera N HarhayDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA.
Sumit MohanThe Columbia University Renal Epidemiology Group, New York, NY.
Thangamani MuthukumarDepartment of Medicine, Division of Nephrology and Hypertension, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY.
Bernd SchröppelSection of Nephrology, University Hospital, Ulm, Germany.
Pooja SinghDepartment of Medicine, Division of Nephrology, Sidney Kimmel Medical College, Thomas Jefferson University Hospital, Philadelphia, PA.
Francis L WengSaint Barnabas Medical Center, RWJ Barnabas Health, Livingston, NJ.
Chirag R ParikhDivision of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD.
Johns Hopkins Medicine · USJohns Hopkins University · USColumbia University · USDrexel University · USSaint Barnabas Medical Center · USUniversity Hospital Ulm · DEUniversity of Maryland, Baltimore · USUniversity of Pennsylvania · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ISHIBE, SHUTA · 2008 to 2022
$16.8M
Novel Kidney Injury Tools in Deceased Organ Donation to Predict Graft OutcomesR01DK093770 · NIDDK · YALE UNIVERSITY · PI Chirag R Parikh · 2012 to 2026
$9.5M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
Patterns and Implications of Functional Decline Among Kidney Transplant CandidatesK23DK105207 · NIDDK · DREXEL UNIVERSITY · PI HARHAY, MEERA NAIR · 2015 to 2019
$861k
NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR002538NIDDK NIH HHS K23 DK105207NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS R01 DK093770
6 · The paper itself

Abstract

backgroundKidneys transplanted from deceased donors with serum creatinine-defined acute kidney injury (AKI) have similar allograft survival as non-AKI kidneys but are discarded at a higher rate. Urine injury biomarkers are sensitive markers of structural kidney damage and may more accurately predict graft outcomes.

methodsIn the 2010-2013 multicenter Deceased Donor Study of 2430 kidney transplant recipients from 1298 donors, we assessed the association of donor urine injury biomarkers microalbumin, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, IL-18, and liver-type fatty acid binding protein with graft failure (GF) and death-censored GF (dcGF) using Cox proportional hazard models (median follow-up 4 y). We examined if serum creatinine-defined donor AKI modified this association to assess the relationship between subclinical donor AKI (elevated biomarkers without creatinine-defined AKI) and GF. Through chart review of a subcohort (1137 recipients), we determined associations between donor injury biomarkers and a 3-year composite outcome of GF, mortality, or estimated glomerular filtration rate ≤ 20mL/min/1.73m.

resultsRisk of GF, dcGF, and 3-year composite outcome did not vary with donor injury biomarker concentrations after adjusting for donor, transplant, and recipient characteristics (adjusted hazard ratio ranged from 0.96 to 1.01 per log-2 increase in biomarker). Subclinical injury in transplanted kidneys without AKI was not associated with GF.

conclusionsAKI measured using injury biomarkers was not associated with posttransplant graft outcomes (at median 4 y posttransplant). When assessing posttransplant graft viability, clinicians can prioritize other donor and recipient factors over donor kidney injury, measured by either serum creatinine or urine injury biomarkers.

Indexed as

Acute Kidney InjuryAdultAgedAllograftsBiomarkersCreatinineFemaleFollow-Up StudiesGlomerular Filtration RateGraft RejectionHumansKidneyKidney Failure, ChronicKidney TransplantationMaleMiddle AgedBiomarkersCreatinine

Identifiers

PMID31568213
PMCPMC7384615
OpenAlexW2974496908

What OpenQuestion holds

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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.