Evidence map›Paper›PMID 33358418›Full record

ArticleTransplantation proceedings2021

Deceased-Donor Kidney Biopsy Scoring Systems for Predicting Future Graft Function: A Comparative Study.

Kevin Chen, Grahya Guntur, Tapati Stalam, Nkechi Okonkwo, Cinthia Drachenberg, Naeem Goussous, David Bruno, Valeria Mas, Jonathan Bromberg, Abdolreza Haririan

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Transplantation proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. The Canadian Anatomic Kidney Score Assessment of reproducibility among surgeons and trainees across Canada.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026
    Article
  3. Label-free viability assessment ofBiomedical optics express · 2026
    Article
  4. Article
  5. The early impacts of an attempt to standardize kidney procurement biopsy practices.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Artificial Intelligence Advances in Transplant Pathology.Bioengineering (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Performance of Scores Predicting Adverse Outcomes in Procurement Kidney Biopsies From Deceased Donors With Organs of Lower-Than-Average Quality.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  16. Evaluation of Expanded Criteria Donors Using the Kidney Donor Profile Index and the Preimplantation Renal Biopsy.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kevin ChenUniversity of Maryland Medical Center, Baltimore, Maryland. Electronic address: KTChen@som.umaryland.edu.
Grahya GunturUniversity of Maryland Medical Center, Baltimore, Maryland. Electronic address: Grahya.Guntur@som.umaryland.edu.
Tapati StalamDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Nkechi OkonkwoDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
Cinthia DrachenbergDepartment of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
Naeem GoussousDepartment of Surgery, University of Maryland School of Medicine, Baltimore, Maryland.
David BrunoDepartment of Surgery, University of Maryland School of Medicine, Baltimore, Maryland.
Valeria MasDepartment of Surgery, University of Maryland School of Medicine, Baltimore, Maryland.
Jonathan BrombergDepartment of Surgery, University of Maryland School of Medicine, Baltimore, Maryland; Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland.
Abdolreza HaririanDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeceased-donor kidney quality pretransplantation is considered critical for future graft function. Assessment of donor kidney quality considers clinical and histologic variables. Several models that incorporate a variety of these factors have been proposed to predict long-term graft survival.

methodsWe compared the performance metrics of 4 scoring systems models---the Maryland Aggregate Pathology Index, Banff, Remuzzi, and Leuven---for predicting renal allograft survival. In this retrospective cohort study, we analyzed 173 renal allografts that underwent preoperative baseline biopsy. Donor demographics and donor baseline histopathology data were collected and correlated with graft survival posttransplant.

resultsAmong the 4 scoring systems, none were significantly associated with posttransplant graft survival or early graft function. The Maryland Aggregate Pathology Index scoring system had better predictive capacity in receiver operating characteristic curve analysis; however, the utility as a predictor of graft survival was only slightly better than chance. Baseline histologic features were individually analyzed, and it was found that none were associated with graft survival in this cohort. Among donor demographics, none were significantly associated with graft survival.

conclusionsIn our study none of the 4 previously proposed predictive models were associated with graft survival after transplantation. Further studies are needed to define new models with stronger predictive value for graft outcome that could help minimize organ discards.

Indexed as

Graft SurvivalKidney TransplantationResearch DesignAdultFemaleHumansKidneyMaleMiddle AgedRetrospective StudiesTissue DonorsTransplantation, Homologous

Identifiers

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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.