Evidence map›Paper›PMID 41567754›Full record

ArticleTransplantation direct2026

Early Elevations in Donor-derived Cell-free DNA are Associated With Increased Risk of Future Rejection and Graft Dysfunction After Kidney Transplant.

Sandesh Parajuli, Emily E Zona, Neetika Garg, Shree Patel, Kevin Pinney, Didier A Mandelbrot

Abstract read
In one paragraph

Article in Transplantation direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Sandesh ParajuliDivision of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI.ORCID https://orcid.org/0000-0003-1667-7465
Emily E ZonaDivision of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Neetika GargDivision of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI.
Shree PatelCareDx, Inc, Brisbane, CA.
Kevin PinneyCareDx, Inc, Brisbane, CA.
Didier A MandelbrotDivision of Nephrology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Donor-derived cell-free DNA (dd-cfDNA) is a marker of the presence and severity of injury in kidney transplant recipients (KTRs). The impact of early elevations in dd-cfDNA on long-term outcomes remains unclear. Methods: We included all KTR from February 2019 to March 2022 with dd-cfDNA (AlloSure) surveillance and without rejection or graft failure in the first 90 d posttransplant. Participants were stratified into groups based on the highest dd-cfDNA in the first 90 d: <0.5%, 0.5% to <1%, or ≥1%. Outcomes included graft dysfunction (estimated glomerular filtration rate <45 mL/min), de novo donor-specific antibodies, biopsy-proven acute rejection, death, and graft failure, over the following 2 y. Results: A total of 255 KTR were analyzed. Sixty (23.5%) had their highest dd-cfDNA result between 0.5% and 1%, and 16 (6.3%) were ≥1.0%. Participants with elevated dd-cfDNA had significantly lower freedom from rejection (<0.5% = 94.0%, 0.5% to <1% = 86.2%, ≥1% = 66.7%; Conclusions: Our data demonstrate that early elevations in dd-cfDNA are associated with an increased risk of rejection and lower estimated glomerular filtration rate in KTR. As dd-cfDNA is a leading indicator of injury, surveillance may add prognostic value beyond biopsy alone and identify patients at risk who warrant closer monitoring.

Identifiers

PMID41567754
PMCPMC12818850

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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.