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Record W2966006629 · doi:10.1111/ejh.13309

Epstein‐Barr virus associated post‐transplant lymphoproliferative disorder mimicking acute graft versus host disease

2019· article· en· W2966006629 on OpenAlexaff
Shruti Prem, Zeyad Al‐Shaibani, Fotios V. Michelis, Dennis Kim, Auro Viswabandya, Jeffrey H. Lipton, Rajat Kumar, Jonas Mattsson, Arjun Law, Wilson Lam

Bibliographic record

VenueEuropean Journal Of Haematology · 2019
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineDiarrheaDifferential diagnosisImmune surveillanceDiseasePost-transplant lymphoproliferative disorderEpstein–Barr virus infectionLymphoproliferative diseaseEpstein–Barr virusVirusGraft-versus-host diseasePresentation (obstetrics)Immune systemImmunologyPathologyGastroenterologySurgery

Abstract

fetched live from OpenAlex

We present a case series of 3 patients to highlight the fact that PTLD post-transplant can mimic GVHD, and should be part of the differential diagnosis for diarrhea post allo-HCT. Awareness of this presentation has important therapeutic implications, as increased immune suppression for the management of GVHD, can worsen clinical features of PTLD. Diagnostic imaging and tissue biopsies should be undertaken early in post-transplant patients presenting with diarrhea or hepatic abnormalities, especially with atypical presentations like fever, and EBV PCR monitoring can expedite clinical decision-making in such complicated scenarios while awaiting results of gut biopsies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.253
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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