Evidence map›Paper›PMID 21274534›Full record

ReviewSeminars in immunopathology2011

Assessment of kidney organ quality and prediction of outcome at time of transplantation.

Thomas F Mueller, Kim Solez, Valeria Mas

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

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

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

  1. Pooled it
  2. Article
  3. Review
  4. 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
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Biomarkers in renal transplantation: An updated review.World journal of transplantation · 2017
    Review
  11. Review
  12. Article
  13. An Iranian experience on renal allograft diseases.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2011
    Article
  14. 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

3 authors.

Thomas F MuellerDivision of Nephrology and Immunology, Department of Medicine, University of Alberta, Edmonton, AB, Canada. tmueller@ualberta.ca
Kim Solez
Valeria Mas

Funding

Molecular pathways leading to chronic graft dysfunctionR01DK080074 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI MAS, VALERIA RAQUEL · 2008 to 2012
$1.8M
NIDDK NIH HHS R01 DK080074
6 · The paper itself

Abstract

The critical importance of donor organ quality, i.e., number of surviving nephrons, ability to withstand injury, and capacity for repair in determining short- and long-term outcomes is becoming increasingly clear. This review provides an overview of studies to assess donor kidney quality and subsequent transplant outcomes based on clinical pathology and transcriptome-based variables available at time of transplantation. Prediction scores using clinical variables function when applied to large data sets but perform poorly for the individual patient. Histopathology findings in pre-implantation or post-reperfusion biopsies help to assess structural integrity of the donor kidney, provide information on pre-existing donor disease, and can serve as a baseline for tracking changes over time. However, more validated approaches of analysis and prospective studies are needed to reduce the number of discarded organs, improve allocation, and allow prediction of outcomes. Molecular profiling detects changes not seen by morphology or captured by clinical markers. In particular, molecular profiles provide a quantitative measurement of inflammatory burden or immune activation and reflect coordinated changes in pathways associated with injury and repair. However, description of transcriptome patterns is not an end in itself. The identification of predictive gene sets and the application to an individualized patient management needs the integration of clinical and pathology-based variables, as well as more objective reference markers of transplant function, post-transplant events, and long-term outcomes.

Indexed as

BiomarkersGene Expression ProfilingHumansKidneyKidney TransplantationMetabolomicsProteomicsTreatment OutcomeBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.