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Record W1997620292 · doi:10.1002/acr.20279

<i>Pneumocystis jiroveci</i> pneumonia following rituximab treatment in Wegener's granulomatosis

2010· article· en· W1997620292 on OpenAlexaff
Boris Hügle, Melinda Solomon, Elizabeth Harvey, Adrian L. James, Anupma Wadhwa, Reshma Amin, Audrey Bell‐Peter, Susanne M. Benseler

Bibliographic record

VenueArthritis Care & Research · 2010
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsRituximabMedicineCyclophosphamideImmunosuppressionVasculitisImmunologyChemoprophylaxisPrednisoneInternal medicineGastroenterologyDiseaseChemotherapyAntibody

Abstract

fetched live from OpenAlex

OBJECTIVE: Wegener's granulomatosis (WG) is a devastating small-vessel vasculitis in children. Standard treatment consists of immunosuppressive medications with cyclophosphamide potentially associated with significant infectious side effects, including Pneumocystis jiroveci pneumonia (PCP). Recently, rituximab, a monoclonal antibody against B cells, has successfully been used in refractory disease. METHODS: We describe the first pediatric patient with refractory WG with sinus and lung disease who developed PCP 6 months after treatment with rituximab, while being treated with methotrexate and prednisone. This 9-year-old child had no CD20+ B cells at time of infection, with normal lymphocyte and CD4 counts. RESULTS: This study provides a review of the published literature, including current protocols, which suggest chemoprophylaxis only in WG patients receiving T cell-targeted immunosuppression such as cyclophosphamide. However, clinical and laboratory evidence points toward a possible role of B cells in the defense against PCP. CONCLUSION: Routine PCP chemoprophylaxis should be strongly considered in patients with WG treated with rituximab.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.332
Teacher spread0.313 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations55
Published2010
Admission routes1
Has abstractyes

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