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Rituximab Based Regimen May Decrease the Incidence of CNS Relapse in Patients with Diffuse Large B-Cell Lymphoma.

2009· article· en· W2529155841 on OpenAlexaff
Mervat Mahrous Mohamed, Rena Buckstein, Eugenia Piliotis, Matthew C. Cheung, Neil L. Berinstein

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineRituximabInternal medicineRegimenDiffuse large B-cell lymphomaGastroenterologyLymphomaBone marrowChemotherapy regimenSurgeryChemotherapy

Abstract

fetched live from OpenAlex

Abstract Abstract 4770 BACKGROUND Relapse in the central nervous system (CNS) following initial treatment of diffuse large B-cell lymphoma (DLBCL) is an uncommon but fatal complication. However, the addition of rituximab improves the clinical outcome dramatically in DLBCL patients; its influence on CNS relapse is unproven. Aim This single centre retrospective study was conducted to investigate the incidence of CNS relapse, and to evaluate the impact of adding rituximab to standard CHOP (RCHOP) regimen without CNS prophylaxis in patients at risk of CNS relapse. PATIENTS AND METHODS All patients with DLBCL diagnosed from April 2002 to December 2007 at sunnybrook cancer center were retrospectively identified in the Cancer Database. Patients were included if they were >16 years old, had advanced stage (stage III /IV, or stage I /II with B symptoms, elevated LDH or bulky disease, were treated with RCHOP regimen with curative intent and were free of CNS involvement at diagnosis. CNS relapse was diagnosed by CSF cytology, radiology or clinically. Results A total of 155 patients were newly diagnosed with DLBCL and treated with RCHOP only. 22 pts were excluded, 20 had CNS prophylaxis and 2 pts had CNS involvement. 133 pts were eligible (69 male and 64 female) Median age was 64 (Age'60 was 59.4%). Stage III/IV was 69.9%. LDH was elevated in 59.4%. Bone marrow (BM) involvement and Extra nodal “>2 were 18.05% and 25.6% respectively. EN sites were: (liver 4.5%, Bone 6.8%, Pulmonary 4.5%, kidney 3.01%, cardiac 1.5%, intestine 2.3%, testicular 1.5%). The International Prognostic Index was high-intermediate/high in 55.6%. Pathologically transformed was 12.03% and were transformed from indolent histologies. BCL2 was positive in 65.4%, BCL6 was 48.9%, CD10 was positive in 49.6%, Ki-67 was >80% in 25%. All patients received RCHOP (Median 6 cycles, (range 2-8). Overall response (ORR) was 88.6%, CR/CRU 72.7% with a median follow up 24.6 months (range 2.6-75.5). 28 patients (21.05%) relapsed systemically. Two patients (1.5%) had a CNS relapse 1 brain parenchyma and 1 leptomeningeal one month after systemic relapse. The median time to CNS relapse was 10.4 mos (6.24-14.5 mos). In univariate risk factor analysis (LDH (p=0.8), IPI>3 (p=0.9), No of EN (p=0.9). Actuarial 5 y Overall Survival (OS) was 67.3% (95% CI (57-77%) and progression free Survival (PFS) was 65.7% (95% CI (52.3-78.6%). Conclusion Our data suggest that the addition of rituximab may reduce the risk of CNS relapse for poor risk patients likely through systemic control. Future prospective studies of rituximab-containing chemotherapies with CNS prophylaxis are warranted Disclosures: No relevant conflicts of interest to declare.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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 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".

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Citations1
Published2009
Admission routes1
Has abstractyes

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