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Record W2024979995 · doi:10.1002/ajh.21108

Multicentric Castleman's disease treated with combination chemotherapy and rituximab in four HIV‐positive men: A case series

2007· article· en· W2024979995 on OpenAlexaff
Alain Bestawros, René P. Michel, Chantal Séguin, Jean‐Pierre Routy

Bibliographic record

VenueAmerican Journal of Hematology · 2007
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsRoyal Victoria HospitalMcGill UniversityMontreal General Hospital
Fundersnot available
KeywordsRituximabMedicineImmunosuppressionChemotherapyOncologyInternal medicineDiseaseCD20Castleman diseaseImmunologyLymphoma

Abstract

fetched live from OpenAlex

Multicentric Castleman's disease (MDC) is a rare herpesvirus-8-related prelymphomatous condition that may develop in patients infected with human immunodeficiency virus (HIV). Therapy for MCD is not well established and most often includes: corticosteroids, single or combined chemotherapy, anti-CD20 monoclonal antibody and antiretroviral therapy. In order to obtain a rapid and long-lasting clinical response, we are reporting on a short course of anthracycline-based chemotherapy associated with rituximab in HIV-positive patients with MCD. Our study suggests that the combined immuno-chemotherapy approach may represent a valid strategy with acceptable toxicity in patients with severe and extensive MDC. Further studies will be needed to assess the efficacy and safety of such an approach, and to identify risk factors predictive of long-term tolerance in HIV patients with different degrees of immunosuppression.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.257
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations27
Published2007
Admission routes1
Has abstractyes

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Same venueAmerican Journal of HematologySame topicViral-associated cancers and disordersFrench-language works237,207