Evidence map›Paper›PMID 21405969›Full record

ArticleExpert review of molecular diagnostics2011

Identifying biomarkers as diagnostic tools in kidney transplantation.

Valeria R Mas, Thomas F Mueller, Kellie J Archer, Daniel G Maluf

Abstract read
In one paragraph

Article in Expert review of molecular diagnostics, 2011. 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
2.1field-weighted citation impact, top 14% 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, 44 citations in OpenAlex.

  1. Trial
  2. Review
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  8. Article
  9. Biomarkers in renal transplantation: An updated review.World journal of transplantation · 2017
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. MicroRNAs as biomarkers in solid organ transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2013
    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

4 authors at 3 institutions in 2 countries.

Valeria R MasMolecular Transplant Research Laboratory, Transplant Division, Department of Surgery, Molecular Medicine Research Building, Virginia Commonwealth University, 1220 East Broad Street, Richmond, VA 23298, USA. vmas@mcvh-vcu.edu
Thomas F Mueller
Kellie J Archer
Daniel G Maluf
Virginia Commonwealth University · USUniversity of Alberta · CAVirginia Commonwealth University Medical Center · US

Funding

Molecular pathways leading to chronic graft dysfunctionR01DK080074 · NIDDK · VIRGINIA COMMONWEALTH UNIVERSITY · PI MAS, VALERIA RAQUEL · 2008 to 2012
$1.8M
NIDDK NIH HHS R01 DK080074NIDDK NIH HHS R01DK080074
6 · The paper itself

Abstract

There is a critical need for biomarkers for early diagnosis, treatment response, and surrogate end point and outcome prediction in organ transplantation, leading to a tailored and individualized treatment. Genomic and proteomic platforms have provided multiple promising new biomarkers during the last few years. However, there is still no routine application of any of these markers in clinical transplantation. This article will discuss the existing gap between biomarker discovery and clinical application in the kidney transplant setting. Approaches to implementing biomarker monitoring into clinical practice will also be discussed.

Indexed as

BiomarkersKidney TransplantationGenome-Wide Association StudyGraft RejectionGraft SurvivalHumansPrognosisReperfusion InjuryTransplantation, HomologousBiomarkers

Identifiers

PMID21405969
PMCPMC3116652
OpenAlexW2118183539

What OpenQuestion holds

Textmetadata
LicenceTDM
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.