Evidence map›Paper›PMID 34717009›Full record

ArticleClinical transplantation2021

Progressive decline of function in renal allografts with normal 1-year biopsies: Gene expression studies fail to identify a classifier.

Walter D Park, Dean Y Kim, Martin L Mai, Kunam S Reddy, Thomas Gonwa, Margaret S Ryan, Loren P Herrera Hernandez, Maxwell L Smith, Xochiquetzal J Geiger, Sandor Turkevi-Nagy and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Walter D ParkMayo Clinic Rochester, Rochester, Minnesota, USA.ORCID 0000-0002-0536-9515
Dean Y KimHenry Ford Hospital, Detroit, Michigan, USA.
Martin L MaiMayo Clinic Florida, Jacksonville, Florida, USA.
Kunam S ReddyMayo Clinic Arizona, Phoenix, Arizona, USA.
Thomas GonwaMayo Clinic Florida, Jacksonville, Florida, USA.
Margaret S RyanMayo Clinic Arizona, Phoenix, Arizona, USA.
Loren P Herrera HernandezMayo Clinic Rochester, Rochester, Minnesota, USA.
Maxwell L SmithMayo Clinic Arizona, Phoenix, Arizona, USA.
Xochiquetzal J GeigerMayo Clinic Florida, Jacksonville, Florida, USA.
Sandor Turkevi-NagyUniversity of Szegad, Szeged, Hungary.
Lynn D CornellMayo Clinic Rochester, Rochester, Minnesota, USA.
Byron H SmithMayo Clinic Rochester, Rochester, Minnesota, USA.ORCID 0000-0001-9318-2437
Walter K KremersMayo Clinic Rochester, Rochester, Minnesota, USA.
Mark D StegallMayo Clinic Rochester, Rochester, Minnesota, USA.ORCID 0000-0002-1392-0792

Funding

Intragraft expression to Predict Future GFR Decline in Kidney TransplantationU01AI096326 · NIAID · MAYO CLINIC ROCHESTER · PI STEGALL, MARK D · 2011 to 2016
$3.4M
NIAID NIH HHS U01 AI096326
6 · The paper itself

Abstract

Histologic findings on 1-year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1-year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1-year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1-year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10-fold cross-validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c-statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c-statistic. Importantly, the majority of patients with graft loss in the prospective study had 1-year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1-year biopsy and eGFR > 40) remains difficult.

Indexed as

Kidney TransplantationAllograftsBiopsyFibrosisGene ExpressionGlomerular Filtration RateGraft RejectionHumansKidneyProspective StudiesRetrospective Studiesgenomicsglomerular filtration ratekidney (allograft) function / dysfunction

Identifiers

PMID34717009
PMCPMC8702476

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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.