Evidence map›Paper›PMID 35721467›Full record

ReviewTransplant international : official journal of the European Society for Organ Transplantation2022

Donor Derived Cell Free DNA in Kidney Transplantation: The Circa 2020-2021 Update.

Sam Kant, Daniel C Brennan

Open access · goldAbstract readReview
In one paragraph

Review in Transplant international : official journal of the European Society for Organ Transplantation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Liquid biopsy in modern medicine: advancing diagnostics from molecular insights to clinical practice.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Shedding Light on Microvascular Inflammation: Understanding Outcomes, But What Sparks the Flame?Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. 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

2 authors at 2 institutions in 1 country.

Sam KantDivision of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Daniel C BrennanDivision of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Division of Chemistry · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The routine surveillance of kidney transplant allografts has relied on imperfect non-invasive biomarkers such as creatinine and urinary indices, while the gold standard allograft biopsy is associated with risk of bleeding, organ injury and sampling errors. Donor derived cell free DNA (dd-cfDNA) is being employed as a biomarker that addresses limitations of these surveillance methods, albeit has inherent drawbacks. This review provides an update on the enhanced understanding of dd-cfDNA and its expanded use beyond the conventional indication of detecting allograft rejection.

Indexed as

Cell-Free Nucleic AcidsKidney TransplantationBiomarkersGraft RejectionHumansTissue DonorsBiomarkersCell-Free Nucleic Acidsbiomarkercell free DNAkidneyrejectiontransplant

Identifiers

PMID35721467
PMCPMC9198901
OpenAlexW4281741410

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.