Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 375

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Post‐transplant lymphoproliferative disorders, Epstein‐Barr virus infection, and disease in solid organ transplantation: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice

Allen, Upton D., Preiksaitis, Jutta K., the AST Infectious Diseases Community of Practice·2019·Clinical Transplantation

Abstract

These updated guidelines from the American Society of Transplantation Infectious Diseases Community of Practice review the diagnosis, management, and prevention of post‐transplant lymphoproliferative disorders (PTLD) and other Epstein‐Barr virus (EBV) syndromes after solid organ transplantation. PTLD are a heterogeneous spectrum of predominantly B‐cell disorders, often extra‐nodal, with complex distinct pathogeneses and variable clinical presentations determined by pathologic subtype. Recent epidemiologic studies report a decrease in early EBV‐positive (+) PTLD and an increase in late EBV‐negative (−) PTLD. Pre‐transplant EBV‐seronegativity and primary EBV infection, often from donor‐transmitted infection, are an important risk factors for EBV syndromes and early EBV + PTLD. Low‐quality evidence supports preemptive prevention strategies for early EBV + PTLD in EBV‐seronegative recipients that involve EBV DNA measurement in peripheral blood using assays requiring further result harmonization, combined with interventions to lower viral load. Reduction in immunosuppression (RIS) is the best validated intervention. WHO pathology classification of a tissue biopsy remains the gold standard for PTLD diagnosis; optimal staging procedures are uncertain. Treatment of CD20+ PTLD with the response‐dependent sequential use of RIS, rituximab, and cytotoxic chemotherapy is recommended. Evidence gaps requiring future research and alternate treatment strategies including immunotherapy are highlighted.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/ctr.13652

Cites

74 of 74 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 375

Metadata

Authors
Allen, U. D., Preiksaitis, J. K., & Practice, T. A. I. D. C. O.
Venue
Clinical Transplantation
Publisher
Wiley
Published
2019-07-23
Volume
33
Issue
9
Pages
e13652-e13652
ISSN
  • 0902-0063 (ISSN-L)
  • 1399-0012
OpenAlex
W2950049436
Cited by
375
References
74
FWCI
12.42
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.