Evidence map›Paper›PMID 34320215›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2022

Diagnostic application of transcripts associated with antibody-mediated rejection in kidney transplant biopsies.

Frederic Toulza, Kathy Dominy, Michelle Willicombe, Jack Beadle, Eva Santos, H Terence Cook, Richard M Szydlo, Adam McLean, Candice Roufosse

Open access · bronzeAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. The Banff 2022 Kidney Meeting Work Plan: Data-driven refinement of the Banff Classification for renal allografts.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    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

9 authors at 3 institutions in 1 country.

Frederic ToulzaDepartment of Immunology and Inflammation, Imperial College, Centre for Inflammatory Disease, London, UK.ORCID 0000-0002-1104-5795
Kathy DominyMolecular Pathology Laboratory, North West London Pathology, London, UK.
Michelle WillicombeDepartment of Immunology and Inflammation, Imperial College, Centre for Inflammatory Disease, London, UK.
Jack BeadleDepartment of Immunology and Inflammation, Imperial College, Centre for Inflammatory Disease, London, UK.
Eva SantosHistocompatibility and Immunogenetics, North West London Pathology, London, UK.
H Terence CookDepartment of Immunology and Inflammation, Imperial College, Centre for Inflammatory Disease, London, UK.
Richard M SzydloDepartment of Immunology and Inflammation, Imperial College, London, UK.
Adam McLeanImperial College Renal and Transplant Centre, Imperial College Healthcare NHS Trust, London, UK.
Candice RoufosseDepartment of Immunology and Inflammation, Imperial College, Centre for Inflammatory Disease, London, UK.
Imperial College London · GBImperial College Healthcare NHS Trust · GBNorth West London Pathology · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundThe diagnosis of antibody-mediated rejection (AMR) is reached using the Banff Classification for Allograft Pathology, which now includes gene expression analysis. In this study, we investigate the application of 'increased expression of thoroughly validated gene transcripts/classifiers strongly associated with AMR' as diagnostic criteria.

methodWe used quantitative real-time polymerase chain reaction for 10 genes associated with AMR in a retrospective cohort of 297 transplant biopsies, including biopsies that met the full diagnostic criteria for AMR, even without molecular data (AMR, n = 27), biopsies that showed features of AMR, but that would only meet criteria for AMR with increased transcripts [suspicious for AMR (AMRsusp), n = 49] and biopsies that would never meet criteria for AMR (No-AMR, n = 221).

resultsA 10-gene AMR score trained by a receiver-operating characteristic to identify AMR found 16 cases with a high score among the AMRsusp cases (AMRsusp-high) that had significantly worse graft survival than those with a low score (AMRsusp-low; n = 33). In both univariate and multivariate Cox regression analysis, the AMR 10-gene score was significantly associated with an increased hazard ratio (HR) for graft loss (GL) in the AMRsusp group (HR = 1.109, P = 0.004 and HR = 1.138, P = 0.012, respectively), but not in the whole cohort. Net reclassification index and integrated discrimination improvement analyses demonstrated improved risk classification and superior discrimination, respectively, for GL when considering the gene score in addition to histological and serological data, but only in the AMRsusp group, not the whole cohort.

conclusionsThis study provides evidence that a gene score strongly associated with AMR helps identify cases at higher risk of GL in biopsies that are suspicious for AMR but do not meet full criteria.

Indexed as

Kidney TransplantationAntibodiesBiopsyGraft RejectionGraft SurvivalHumansRetrospective StudiesAntibodiesacute rejectionchronic renal failuregene expressiongraft failurekidney biopsy

Identifiers

PMID34320215
PMCPMC9317169
OpenAlexW3186268052

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.