Evidence map›Paper›PMID 28062570›Full record

ReviewJournal of the American Society of Nephrology : JASN2017

Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Madhav C Menon, Barbara Murphy, Peter S Heeger

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of the American Society of Nephrology : JASN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Detection of Kidney Allograft Rejection Using Urinary Chemokines.Journal of the American Society of Nephrology : JASN · 2025
    Article
  8. Review
  9. Biomarkers of Rejection in Kidney Transplantation.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Review
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Review
  15. Biomarkers for dementia in Latin American countries: Gaps and opportunities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Madhav C MenonRenal Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York.
Barbara MurphyRenal Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York.
Peter S HeegerRenal Division, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, New York peter.heeger@mssm.edu.
Icahn School of Medicine at Mount Sinai · US

Funding

Noninvasive Markers and Transplant Outcome in HumansU01AI063594 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HEEGER, PETER SCOTT · 2004 to 2022
$66.5M
An intronic locus determines SHROOM3-expression and potentiates renal allograft fibrosisR01DK102420 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MURPHY, BARBARA T. · 2015 to 2019
$1.9M
NIAID NIH HHS U01 AI063594NIDDK NIH HHS R01 DK102420
6 · The paper itself

Abstract

Long-term kidney transplant outcomes remain suboptimal, delineating an unmet medical need. Although current immunosuppressive therapy in kidney transplant recipients is effective, dosing is conventionally adjusted empirically on the basis of time after transplant or altered in response to detection of kidney dysfunction, histologic evidence of allograft damage, or infection. Such strategies tend to detect allograft rejection after significant injury has already occurred, fail to detect chronic subclinical inflammation that can negatively affect graft survival, and ignore specific risks and immune mechanisms that differentially contribute to allograft damage among transplant recipients. Assays and biomarkers that reliably quantify and/or predict the risk of allograft injury have the potential to overcome these deficits and thereby, aid clinicians in optimizing immunosuppressive regimens. Herein, we review the data on candidate biomarkers that we contend have the highest potential to become clinically useful surrogates in kidney transplant recipients, including functional T cell assays, urinary gene and protein assays, peripheral blood cell gene expression profiles, and allograft gene expression profiles. We identify barriers to clinical biomarker adoption in the transplant field and suggest strategies for moving biomarker-based individualization of transplant care from a research hypothesis to clinical implementation.

Indexed as

Kidney TransplantationAntibodiesBiomarkersForecastingHLA AntigensHumansPostoperative ComplicationsRisk AssessmentT-LymphocytesAntibodiesBiomarkersHLA Antigensbiomarkertransplantationtransplant outcomes

Identifiers

PMID28062570
PMCPMC5328171
OpenAlexW2570751156

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.