Evidence map›Paper›PMID 20717098›Full record

ReviewNature reviews. Nephrology2010

A 'biomarker signature' for tolerance in transplantation.

Maria P Hernandez-Fuentes, Robert I Lechler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Transplantation tolerance: don't forget about the B cells.Clinical and experimental immunology · 2017
    Review
  3. Biomarkers in renal transplantation: An updated review.World journal of transplantation · 2017
    Review
  4. Article
  5. T-cell exhaustion in allograft rejection and tolerance.Current opinion in organ transplantation · 2015
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Immunologic monitoring in transplantation revisited.Current opinion in organ transplantation · 2012
    Review
  11. Review
  12. Article
  13. Identifying biomarkers as diagnostic tools in kidney transplantation.Expert review of molecular diagnostics · 2011
    Article
  14. Tolerance: an overview and perspectives.Nature reviews. Nephrology · 2010
    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

2 authors.

Maria P Hernandez-FuentesMedical Research Council Centre for Transplantation, King's College London, Great Maze Pond, London SE1 9RT, UK.
Robert I Lechler

Funding

Department of HealthMedical Research Council G0801537
6 · The paper itself

Abstract

In the past decade, an explosion in the number of high-throughput tools for the measurement of different cellular products has occurred. These tools have the potential to further our understanding of human disease and this development has facilitated the identification of new biomarkers in all areas of medicine. In the field of solid organ transplantation, two different areas have developed: the use of biomarkers to predict allograft tolerance for the identification of patients who can be weaned from immunosuppressive therapy, and biomarkers for the prediction of allograft rejection, so that parenchymal damage can be prevented before it becomes irreversible. In this Review, we discuss the development of biomarkers that are indicative of transplant tolerance. Identifying patients in whom donor-specific tolerance has developed would constitute a major advance in the care of organ transplant recipients. This ability would allow the minimization or even the withdrawal of immunosuppressive therapy in selected patients, thus reducing the number of adverse effects and costs, and optimizing long-term graft outcomes. The routine clinical use of these biomarkers, once validated, would bring to the fore the possibility of personalized medicine.

Indexed as

BiomarkersTransplantation ToleranceGraft RejectionHumansKidney TransplantationLiver TransplantationPredictive Value of TestsBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
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.