Evidence map›Paper›PMID 26760313›Full record

ArticleExpert review of molecular diagnostics2016

Profile of the Pleximmune blood test for transplant rejection risk prediction.

Rakesh Sindhi, Chethan Ashokkumar, Brandon W Higgs, Samantha Levy, Kyle Soltys, Geoffrey Bond, George Mazariegos, Sarangarajan Ranganathan, Adriana Zeevi

Open access · greenAbstract readValidation Study
In one paragraph

Article in Expert review of molecular diagnostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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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

9 authors at 3 institutions in 1 country.

Rakesh Sindhia Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
Chethan Ashokkumara Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
Brandon W Higgsa Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
Samantha Levyb Plexision Inc ., Pittsburgh , PA , USA.
Kyle Soltysa Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
Geoffrey Bonda Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
George Mazariegosa Department of Transplant Surgery , Thomas E. Starzl Transplantation Institute, Hillman Center for Pediatric Transplantation, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center (UPMC) , Pittsburgh , PA , USA.
Sarangarajan Ranganathanc Tissue Typing Laboratory, Department of Pathology , Children's Hospital of Pittsburgh of UPMC , Pittsburgh , PA , USA.
Adriana Zeevic Tissue Typing Laboratory, Department of Pathology , Children's Hospital of Pittsburgh of UPMC , Pittsburgh , PA , USA.
Children's Hospital of Pittsburgh · USUniversity of Pittsburgh Medical Center · USPlexision (United States) · US

Funding

Predictors for drug selection and minimization in pediatric liver transplantationR01AI073895 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SINDHI, RAKESH K. · 2006 to 2009
$1.5M
NIAID NIH HHS R01 AI073895PHS HHS 5R01073895-05
6 · The paper itself

Abstract

The Pleximmune™ test (Plexision Inc., Pittsburgh, PA, USA) is the first cell-based test approved by the US FDA, which predicts acute cellular rejection in children with liver- or intestine transplantation. The test addresses an unmet need to improve management of immunosuppression, which incurs greater risks of opportunistic infections and Epstein-Barr virus-induced malignancy during childhood. High-dose immunosuppression and recurrent rejection after intestine transplantation also result in a 5-year graft loss rate of up to 50%. Such outcomes seem increasingly unacceptable because children can experience rejection-free survival with reduced immunosuppression. Pleximmune test sensitivity and specificity for predicting acute cellular rejection is 84% and 80% respectively in training set-validation set testing of 214 children. Among existing gold standards, the biopsy detects but cannot predict rejection. Anti-donor antibodies, which presage antibody-mediated injury, reflect late-stage allosensitization as a downstream effect of engagement between recipient and donor cells. Therefore, durable graft and patient outcomes also require accurate management of cellular immune responses in clinical practice.

Indexed as

AdolescentBiomarkersCD40 LigandChildClinical Trials as TopicGraft RejectionHumansImmunoassayIntestinesLiver TransplantationMolecular Diagnostic TechniquesReagent Kits, DiagnosticSensitivity and SpecificityBiomarkersCD40 LigandReagent Kits, DiagnosticAcute cellular rejectionCD154cell-based assaychildrenflow cytometryindex-basedintestine transplantationLiver transplantationprognosticrisk of rejectionT-cytotoxic memory cells

Identifiers

PMID26760313
PMCPMC4965161
OpenAlexW2234391961

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.