Evidence map›Paper›PMID 31334336›Full record

ArticleTransplantation direct2019

The Measurement of Donor-Specific Cell-Free DNA Identifies Recipients With Biopsy-Proven Acute Rejection Requiring Treatment After Liver Transplantation.

Su Kah Goh, Hongdo Do, Adam Testro, Julie Pavlovic, Angela Vago, Julie Lokan, Robert M Jones, Christopher Christophi, Alexander Dobrovic, Vijayaragavan Muralidharan

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. Donor-Derived Cell-Free DNA in Pancreas-Kidney, Heart-Kidney, and Liver-Kidney Multiorgan Transplant Recipients (MOTR).Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  5. Review
  6. Donor Fractions of Cell-Free DNA Are Elevated During CLAD But Not During Infectious Complications After Lung Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. European Society for Organ Transplantation Consensus Statement on Biomarkers in Liver Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
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

10 authors at 3 institutions in 1 country.

Su Kah GohDepartment of Surgery, The University of Melbourne, Austin Health, Heidelberg, VIC, Australia.
Hongdo DoTranslational Genomics and Epigenomics Laboratory, Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, Australia.
Adam TestroLiver Transplant Unit, Austin Health, Heidelberg, VIC, Australia.
Julie PavlovicDepartment of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia.
Angela VagoLiver Transplant Unit, Austin Health, Heidelberg, VIC, Australia.
Julie LokanDepartment of Anatomical Pathology, Austin Health, Heidelberg, VIC, Australia.
Robert M JonesDepartment of Surgery, The University of Melbourne, Austin Health, Heidelberg, VIC, Australia.
Christopher ChristophiDepartment of Surgery, The University of Melbourne, Austin Health, Heidelberg, VIC, Australia.
Alexander DobrovicDepartment of Surgery, The University of Melbourne, Austin Health, Heidelberg, VIC, Australia.
Vijayaragavan MuralidharanDepartment of Surgery, The University of Melbourne, Austin Health, Heidelberg, VIC, Australia.
Austin Health · AUUniversity of Melbourne · AUOlivia Newton-John Cancer Wellness & Research Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssessment of donor-specific cell-free DNA (dscfDNA) in the recipient is emerging as a noninvasive biomarker of organ rejection after transplantation. We previously developed a digital polymerase chain reaction (PCR)-based approach that readily measures dscfDNA within clinically relevant turnaround times. Using this approach, we characterized the dynamics and evaluated the clinical utility of dscfDNA after liver transplantation (LT).

methodsDeletion/insertion polymorphisms were used to distinguish donor-specific DNA from recipient-specific DNA. Posttransplant dscfDNA was measured in the plasma of the recipients. In the longitudinal cohort, dscfDNA was serially measured at days 3, 7, 14, 28, and 42 in 20 recipients. In the cross-sectional cohort, dscfDNA was measured in 4 clinically stable recipients (>1-y posttransplant) and 16 recipients (>1-mo posttransplant) who were undergoing liver biopsies.

resultsRecipients who underwent LT without complications demonstrated an exponential decline in dscfDNA. Median levels at days 3, 7, 14, 28, and 42 were 1936, 1015, 247, 90, and 66 copies/mL, respectively. dscfDNA was higher in recipients with treated biopsy-proven acute rejection (tBPAR) when compared to those without. The area under the receiver operator characteristic curve of dscfDNA was higher than that of routine liver function tests for tBPAR (dscfDNA: 98.8% with 95% confidence interval, 95.8%-100%; alanine aminotransferase: 85.7%; alkaline phosphatase: 66.4%; gamma-glutamyl transferase: 80.1%; and bilirubin: 35.4%).

conclusionsdscfDNA as measured by probe-free droplet digital PCR methodology was reflective of organ health after LT. Our findings demonstrate the potential utility of dscfDNA as a diagnostic tool of tBPAR.

Identifiers

PMID31334336
PMCPMC6616138
OpenAlexW2955810777

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LicenceCC BY-NC-ND
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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.