Evidence map›Paper›PMID 28133619›Full record

ReviewJournal of immunology research2017

From Humoral Theory to Performant Risk Stratification in Kidney Transplantation.

C Lefaucheur, D Viglietti, M Mangiola, A Loupy, A Zeevi

Open access · goldAbstract readReview
In one paragraph

Review in Journal of immunology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
  2. Article
  3. Expanding role of antibodies in kidney transplantation.World journal of transplantation · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Recent advances in kidney transplantation: a viewpoint from the Descartes advisory board.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Review
  11. 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

5 authors at 2 institutions in 2 countries.

C LefaucheurParis Translational Research Center for Organ Transplantation, INSERM, UMR-S970, Paris, France; Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.ORCID 0000-0002-6244-0795
D VigliettiParis Translational Research Center for Organ Transplantation, INSERM, UMR-S970, Paris, France; Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
M MangiolaDepartment of Transplant Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
A LoupyParis Translational Research Center for Organ Transplantation, INSERM, UMR-S970, Paris, France; Kidney Transplant Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
A ZeeviDepartment of Transplant Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Inserm · FRUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the present review is to describe how we improve the model for risk stratification of transplant outcomes in kidney transplantation by incorporating the novel insights of donor-specific anti-HLA antibody (DSA) characteristics. The detection of anti-HLA DSA is widely used for the assessment of pre- and posttransplant risks of rejection and allograft loss; however, not all anti-HLA DSA carry the same risk for transplant outcomes. These antibodies have been shown to cause a wide spectrum of effects on allografts, ranging from the absence of injury to indolent or full-blown acute antibody-mediated rejection. Consequently, the presence of circulating anti-HLA DSA does not provide a sufficient level of accuracy for the risk stratification of allograft outcomes. Enhancing the predictive performance of anti-HLA DSA is currently one of the most pressing unmet needs for facilitating individualized treatment choices that may improve outcomes. Recent advancements in the assessment of anti-HLA DSA properties, including their strength, complement-binding capacity, and IgG subclass composition, significantly improved the risk stratification model to predict allograft injury and failure. Although risk stratification based on anti-HLA DSA properties appears promising, further specific studies that address immunological risk stratification in large and unselected populations are required to define the benefits and cost-effectiveness of such comprehensive assessment prior to clinical implementation.

Indexed as

Kidney TransplantationAllograftsAntibody SpecificityFemaleGraft RejectionGraft SurvivalHLA AntigensHumansIsoantibodiesMaleRisk FactorsTissue DonorsTransplantation, HomologousHLA AntigensIsoantibodies

Identifiers

PMID28133619
PMCPMC5241462
OpenAlexW2567249030

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.