Evidence map›Paper›PMID 20874650›Full record

ReviewImmunotherapy2010

Immunotherapeutic options for Epstein-Barr virus-associated lymphoproliferative disease following transplantation.

Donald R Shaffer, Cliona M Rooney, Stephen Gottschalk

Open access · greenAbstract readReview
In one paragraph

Review in Immunotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Donald R ShafferCenter for Cell & Gene Therapy, Baylor College of Medicine, 6621 Fannin Street, MC 3-3320, Houston, TX 77030, USA.
Cliona M Rooney
Stephen Gottschalk
Baylor College of Medicine · US

Funding

Tissue ResourceP50CA126752 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Andrea Nicole Marcogliese · 2007 to 2026
$51.4M
VECTOR PRODUCTIONP01CA094237 · NCI · BAYLOR COLLEGE OF MEDICINE · PI HESLOP, HELEN E, ROONEY, CLIONA M. · 2002 to 2017
$27.8M
NCI NIH HHS P01 CA094237NCI NIH HHS P01 CA94237NCI NIH HHS P50 CA126752NCI NIH HHS P50CA126752
6 · The paper itself

Abstract

Epstein-Barr virus-associated lymphoproliferative diseases (EBV-LPD) after hematopoietic stem cell transplantation or solid-organ transplantation remain a serious and potentially life-threatening complication. In the last decade, outcomes for EBV-LPD have significantly improved. Key to this success was the development of early detection methods, such as serial measurements of EBV-DNA load in the peripheral blood of transplant recipients. Immunotherapeutic interventions for EBV-LPD include reduction of immunosuppression, CD20 monoclonal antibodies (rituximab) as monotherapy or in conjunction with chemotherapy, and adoptive immunotherapy with EBV-specific T cells. Pre-emptive immunotherapeutic interventions can prevent the development of EBV-LPD. As monotherapy, immunotherapy is effective in inducing remissions of EBV-LPD with low-risk features. For high-risk disease, combining immunotherapy with conventional therapies has led to superior outcomes. Current challenges consist of risk stratifying patients so that patients receive the most efficacious therapy without suffering from unwanted side effects.

Indexed as

ImmunotherapyAnimalsAntibodies, Monoclonal, Murine-DerivedCombined Modality TherapyEpstein-Barr Virus InfectionsHumansImmunosuppression TherapyLymphoproliferative DisordersRituximabT-Lymphocytes, CytotoxicTransplantationAntibodies, Monoclonal, Murine-DerivedRituximab

Identifiers

PMID20874650
PMCPMC3075565
OpenAlexW2171385354

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.