Evidence map›Paper›PMID 31913491›Full record

ArticleJAMA network open2020

Association of Deceased Donor Acute Kidney Injury With Recipient Graft Survival.

Caroline Liu, Isaac E Hall, Sherry Mansour, Heather R Thiessen Philbrook, Yaqi Jia, Chirag R Parikh

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01848249 (Deceased Donor Urinary Biomarkers to Predict Kidney Transplant Outcomes), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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.

NCT01848249 completednot on this map

Deceased Donor Urinary Biomarkers to Predict Kidney Transplant Outcomes

TypeobservationalSponsorYale UniversityRan2010 to 2020Enrolled1,679ConditionsDeceased Donor Kidney Transplant, Acute Kidney Injury, Delayed Graft Function, End Stage Renal Disease
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Optimizing the Use of Deceased Donor Kidneys at Risk of Discard: A Clinical Practice Guideline.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Guideline
  2. Kidney Transplantation From Donors With Acute Kidney Injury: Are the Concerns Justified? A Systematic Review and Meta-Analysis.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Assessing Deceased-Donor Kidneys Through Posttransplant Survival Prediction Algorithms.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 4 institutions in 1 country.

Caroline LiuDivision of Nephrology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Isaac E HallDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
Sherry MansourProgram of Applied Translational Research, Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut.
Heather R Thiessen PhilbrookDivision of Nephrology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Yaqi JiaDivision of Nephrology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Chirag R ParikhDivision of Nephrology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of Utah · 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
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI ISHIBE, SHUTA · 2008 to 2022
$16.8M
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
NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR001863NIDDK NIH HHS K24 DK090203NIDDK NIH HHS P30 DK079310
6 · The paper itself

Abstract

Importance: The shortage of deceased donor kidneys for transplants is an ongoing concern. Prior studies support transplanting kidneys from deceased donors with acute kidney injury (AKI), but those investigations have been subject to selection bias and small sample sizes. Current allocation practices of AKI kidneys in the United States are not well characterized. Objectives: To evaluate the association of deceased donor AKI with recipient graft survival and to characterize recovery and discard practices for AKI kidneys by organ procurement organizations. Design, Setting, and Participants: Registry-based, propensity score-matched cohort study from January 1, 2010, to December 31, 2013, in the United States. The dates of analysis were March 1 to November 1, 2019. From 2010 to 2013, a total of 6832 deceased donors with AKI and 15 310 deceased donors without AKI had at least 1 kidney transplanted. This study used a 1:1, propensity score-matched analysis to match deceased donors with AKI to deceased donors without AKI and investigated outcomes in their corresponding kidney recipients. Exposure: Deceased donor AKI, defined as at least 50% or 0.3-mg/dL increase in terminal serum creatinine level from admission. Main Outcomes and Measures: Recipients were assessed for the time to death-censored graft failure and the following secondary outcomes: delayed graft function, primary nonfunction, and the time to all-cause graft failure. Results: Ninety-eight percent (6722 of 6832) of deceased donors with AKI were matched to deceased donors without AKI. The mean (SD) age of the 13 444 deceased donors was 40.4 (14.4) years, and 63% (8529 of 13 444) were male. A total of 25 323 recipients were analyzed (15 485 [61%] were male), and their mean (SD) age was 52.0 (14.7) years. Recipients were followed up for a median of 5 (interquartile range, 4-6) years. Deceased donor AKI status had no association with death-censored graft failure (hazard ratio, 1.01; 95% CI, 0.95-1.08) or all-cause graft failure (hazard ratio, 0.97; 95% CI, 0.93-1.02). The results were consistent after examining by AKI stage and adjusting for recipient and transplant characteristics. More recipients of AKI kidneys developed delayed graft function (29% vs 22%, P < .001). Few recipients (120 of 25 323 [0.5%]) developed primary nonfunction regardless of deceased donor AKI status. Recovery and transplantation of AKI kidneys varied by organ procurement organization; most (39 of 58) had high recovery and high discard of AKI kidneys. Conclusions and Relevance: Deceased donor AKI kidneys transplanted in the study period had recipient graft survival comparable to that of non-AKI kidneys. This study's findings suggest that the transplant community should evaluate whether currently discarded AKI kidneys from donors without substantial comorbidities can be used more effectively.

Indexed as

Acute Kidney InjuryAdultCohort StudiesDonor SelectionFemaleGraft SurvivalHumansKidneyKidney TransplantationMaleMiddle AgedPropensity ScoreRegistriesTissue and Organ ProcurementTissue DonorsTransplants

Identifiers

PMID31913491
PMCPMC6991314
OpenAlexW2999374447

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.