Evidence map›Paper›PMID 32477343›Full record

ReviewFrontiers in immunology2020

Assessment of Organ Quality in Kidney Transplantation by Molecular Analysis and Why It May Not Have Been Achieved, Yet.

Seraina von Moos, Enver Akalin, Valeria Mas, Thomas F Mueller

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04705402 (A Prospective, Randomized, Double Blinded, Placebo Control Trial to Evaluate Efficacy of Intravenous Mannitol Use During Cadaveric Kidney Transplantation Prior to Kidney Reperfusion), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

NCT04705402 naunknown statusnot on this mapstarted 2022, after this paper: background citation

A Prospective, Randomized, Double Blinded, Placebo Control Trial to Evaluate Efficacy of Intravenous Mannitol Use During Cadaveric Kidney Transplantation Prior to Kidney Reperfusion

TypeinterventionalSponsorRabin Medical CenterRan2022 to 2022Enrolled32ConditionsRenal DialysisArmsMannitol, Saline
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Desensitization With Imlifidase for HLA-Incompatible Deceased Donor Kidney Transplantation: A Delphi International Expert Consensus.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Pretransplant kidney transcriptome captures intrinsic donor organ quality and predicts 24-month outcomes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  12. Review
  13. Article
  14. Deceased Donor Characteristics and Kidney Transplant Outcomes.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Review
  15. 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

4 authors at 3 institutions in 2 countries.

Seraina von MoosDivision of Nephrology, University Hospital Zürich, Zurich, Switzerland.
Enver AkalinDivision of Transplantation Surgery, Montefiore Medical Center, New York City, NY, United States.
Valeria MasDivision Transplantation Surgery, University of Tennessee Health Science Center, Memphis, TN, United States.
Thomas F MuellerDivision of Nephrology, University Hospital Zürich, Zurich, Switzerland.
University Hospital of Zurich · CHMontefiore Medical Center · USUniversity of Tennessee Health Science Center · US

Funding

Assessment of Donor Quality for Improving Kidney Transplant OutcomesR01DK109581 · NIDDK · UNIVERSITY OF VIRGINIA · PI Kellie J. Archer, Valeria Raquel Mas · 2017 to 2026
$4.0M
NIDDK NIH HHS R01 DK109581
6 · The paper itself

Abstract

Donor organ shortage, growing waiting lists and substantial organ discard rates are key problems in transplantation. The critical importance of organ quality in determining long-term function is becoming increasingly clear. However, organ quality is difficult to predict. The lack of good measures of organ quality is a serious challenge in terms of acceptance and allocation of an organ. The underlying review summarizes currently available methods used to assess donor organ quality such as histopathology, clinical scores and machine perfusion characteristics with special focus on molecular analyses of kidney quality. The majority of studies testing molecular markers of organ quality focused on identifying organs at risk for delayed graft function, yet without prediction of long-term graft outcome. Recently, interest has emerged in looking for molecular markers associated with biological age to predict organ quality. However, molecular gene sets have not entered the clinical routine or impacted discard rates so far. The current review critically discusses the potential reasons why clinically applicable molecular quality assessment using early kidney biopsies might not have been achieved yet. Besides a critical analysis of the inherent limitations of surrogate markers used for organ quality, i.e., delayed graft function, the intrinsic methodological limitations of studies assessing organ quality will be discussed. These comprise the multitude of unpredictable hits as well as lack of markers of nephron mass, functional reserve and regenerative capacity.

Indexed as

BiopsyDelayed Graft FunctionGraft SurvivalHumansKidneyKidney TransplantationOrgan PreservationPerfusionTransplantsimplant biopsiesmarginal organsmolecular diagnosticsorgan qualitysurrogate marker

Identifiers

PMID32477343
PMCPMC7236771
OpenAlexW3024763324

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.