Evidence map›Paper›PMID 25018902›Full record

ArticleKidney international supplements2011

Biomarkers of tolerance: searching for the hidden phenotype.

Esperanza Perucha, Irene Rebollo-Mesa, Pervinder Sagoo, Maria P Hernandez-Fuentes

Abstract read
In one paragraph

Article in Kidney international supplements, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Esperanza PeruchaSection of Experimental Immunobiology, Division of Transplantation Immunology and Mucosal Biology, King's College London , London, UK ; Medical Research Centre for Transplantation, King's College London, Guy's Hospital , London, UK ; NIHR Biomedical Research Centre, Guy's and St Thomas' Hospital and King's College London , London, UK.
Irene Rebollo-MesaMedical Research Centre for Transplantation, King's College London, Guy's Hospital , London, UK.
Pervinder SagooSection of Experimental Immunobiology, Division of Transplantation Immunology and Mucosal Biology, King's College London , London, UK ; NIHR Biomedical Research Centre, Guy's and St Thomas' Hospital and King's College London , London, UK ; Section of Immunoregulation and Immune Intervention, Division of Transplantation Immunology and Mucosal Biology, King's College London , London, UK.
Maria P Hernandez-FuentesSection of Experimental Immunobiology, Division of Transplantation Immunology and Mucosal Biology, King's College London , London, UK ; Medical Research Centre for Transplantation, King's College London, Guy's Hospital , London, UK ; NIHR Biomedical Research Centre, Guy's and St Thomas' Hospital and King's College London , London, UK.

Funding

Medical Research Council G0801537
6 · The paper itself

Abstract

Induction of transplantation tolerance remains the ideal long-term clinical and logistic solution to the current challenges facing the management of renal allograft recipients. In this review, we describe the recent studies and advances made in identifying biomarkers of renal transplant tolerance, from study inceptions, to the lessons learned and their implications for current and future studies with the same goal. With the age of biomarker discovery entering a new dimension of high-throughput technologies, here we also review the current approaches, developments, and pitfalls faced in the subsequent statistical analysis required to identify valid biomarker candidates.

Indexed as

biomarkersimmunosupressionrenal transplantationtolerancevalidation

Identifiers

PMID25018902
PMCPMC4089724

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.