Evidence map›Paper›PMID 36777723›Full record

ArticleFrontiers in genetics2023

Comparison of methods for donor-derived cell-free DNA quantification in plasma and urine from solid organ transplant recipients.

Nicholas Kueng, Séverine Arcioni, Fanny Sandberg, Christian Kuhn, Vanessa Banz, Carlo R Largiadèr, Daniel Sidler, Ursula Amstutz

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. 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
–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

17 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Evaluation of a Decentralized Donor-Derived Cell-Free DNA Assay for Kidney Allograft Rejection Monitoring.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Assessment of Donor Derived Cell Free DNA (dd-cfDNA) at Surveillance and at Clinical Suspicion of Acute Rejection in Renal Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2023
    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

8 authors.

Nicholas KuengDepartment of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Séverine ArcioniDepartment of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Fanny SandbergDepartment of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Christian KuhnDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Vanessa BanzDepartment of Visceral Surgery and Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Carlo R LargiadèrDepartment of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Daniel SidlerDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Ursula AmstutzDepartment of Clinical Chemistry, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In allograft monitoring of solid organ transplant recipients, liquid biopsy has emerged as a novel approach using quantification of donor-derived cell-free DNA (dd-cfDNA) in plasma. Despite early clinical implementation and analytical validation of techniques, direct comparisons of dd-cfDNA quantification methods are lacking. Furthermore, data on dd-cfDNA in urine is scarce and high-throughput sequencing-based methods so far have not leveraged unique molecular identifiers (UMIs) for absolute dd-cfDNA quantification. Different dd-cfDNA quantification approaches were compared in urine and plasma of kidney and liver recipients: A) Droplet digital PCR (ddPCR) using allele-specific detection of seven common

Indexed as

biomarkercell-free DNAdd-cfDNAddPCRhigh-throughput sequencingkidney transplantliver transplanturine

Identifiers

PMID36777723
PMCPMC9916053

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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.