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Record W4409649755 · doi:10.1080/09273948.2025.2495070

Successful Treatment of Ocular Post-Transplant Lymphoproliferative Disorder with Obinutuzumab in an 8-Year-Old Boy Following Kidney Transplant: A Case Report

2025· article· en· W4409649755 on OpenAlex
Charlotte Lussier, Cynthia L Larche, Julie Vadboncoeur

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOcular Immunology and Inflammation · 2025
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsNOSM UniversityUniversité de Montréal
Fundersnot available
KeywordsMedicinePost-transplant lymphoproliferative disorderKidney transplantLymphoproliferative disordersObinutuzumabOrgan transplantationKidney transplantationKidneyPediatricsInternal medicineDermatologyRituximabTransplantationLymphoma

Abstract

fetched live from OpenAlex

PURPOSE: To report a case of an eight-year-old boy who developed an intraocular recurrence of lymphoproliferative disorder following a kidney transplant. METHODS: Retrospective single case report. RESULTS: The patient initially presented with systemic post-transplant lymphoproliferative disorder (PTLD), which later recurred as a masquerade syndrome with iris nodules and granulomatous uveitis. Initial treatment with systemic rituximab led to recurrence after 6 months. Complete recurrence resolution of both ocular and systemic disease was achieved with obinutuzumab. CONCLUSION: This case highlights the importance of early recognition and multidisciplinary management in PTLD. It also emphasizes the delicate balance between immunosuppression and antitumor therapy in transplant recipients, aiming to preserve graft function while effectively treating PTLD.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.004
GPT teacher head0.240
Teacher spread0.235 · 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