Evidence map›Paper›PMID 42206901›Full record

ArticleInternational journal of immunogenetics2026

Donor-Derived Cell-Free DNA Levels Predict Renal Allograft Biopsy Findings in a UK Single-Centre Study. Results of the KORAD Study.

Patrick A Flynn, Martin K Rutter, Natalia Diaz Burlinson

Abstract read
In one paragraph

Article in International journal of immunogenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

3 authors.

Patrick A FlynnTransplantation Laboratory, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.
Martin K RutterDivision of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Natalia Diaz BurlinsonTransplantation Laboratory, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, UK.

Funding

National School of Healthcare Science Higher Specialist Scientist Training Programme
6 · The paper itself

Abstract

Prior studies have shown that donor-derived cell-free DNA (dd-cfDNA) predicts renal biopsy-defined transplant rejection with a high negative predictive value (NPV). However, these studies were not in UK-based cohorts. The KORAD study aimed to assess relationships between dd-cfDNA levels and biopsy-defined rejection in a UK kidney transplant cohort, along with relationships with DSA and creatinine levels. dd-cfDNA was determined using AlloSeq cfDNA (CareDx) and DSA was identified with LABScreen single-antigen beads (Thermo Fisher Scientific). Eighty samples from 78 transplant patients had concomitant dd-cfDNA, DSA and creatinine results. The median percentage of dd-cfDNA in plasma samples with concomitant DSA negative results was significantly less than in DSA positive samples (0.37% vs. 3.15%, p = 0.002). There was no significant difference in the median percentage of dd-cfDNA in plasma samples with concomitant samples with elevated creatinine levels (0.41% vs. 0.36%, p = 0.779). Thirty-nine of these plasma samples had concomitant renal biopsy results. Thirty-two biopsies were negative for rejection and seven were positive for rejection. A receiver operating characteristic curve analysis showed that dd-cfDNA levels distinguished biopsy-defined rejection from no rejection with an acceptable AUC of 0.737 (95% CI, 0.485-0.987). The %dd-cfDNA threshold maximising overall correct classification was 0.7%. Using this threshold might have prevented 26 patients from undergoing renal biopsy unnecessarily, with two patients directed not to have a biopsy incorrectly (26 dd-cfDNA values being true negatives and two false negatives; NPV: 93% (95% CI, 83%-100%)), which outperformed the NPV for DSA: 88% (95% CI, 77%-99%) and creatinine 85% (95% CI, 69%-100%). We showed that the optimal dd-cfDNA threshold (0.7%) in this study was lower than the 1% threshold identified in non-UK studies. AlloSeq cfDNA (CareDx) with the optimal threshold showed an acceptable level of discrimination of biopsy-proven rejection and a potential to reduce the number of biopsies performed.

Indexed as

Cell-Free Nucleic AcidsGraft RejectionKidney TransplantationAdultAgedAllograftsBiopsyCreatinineFemaleHumansKidneyMaleMiddle AgedROC CurveTissue DonorsUnited KingdomCell-Free Nucleic AcidsCreatininecreatininedd‐cfDNAdonor‐derived cell‐free DNAdonor‐specific antibodiesDSAkidney transplantationrenal biopsy

Identifiers

PMID42206901
PMCPMC13352102

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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.