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Safety and Efficacy of Dose Attentuated R-CHOP Chemotherapy for Treatment of Diffuse Large B Cell Lymphoma in the Very Elderly: A Cohort Study

2014· article· en· W76243008 on OpenAlexaff
Selay Lam, Ian Chin‐Yee, Leonard Minuk, Joy Mangel

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsVictoria HospitalWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineDiffuse large B-cell lymphomaInternal medicineTolerabilityCHOPChemotherapy regimenOncologyRegimenLymphomaCancerAdverse effect

Abstract

fetched live from OpenAlex

Abstract Background: Diffuse Large B Cell Lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma, and is frequently diagnosed in elderly patients. Elderly patients with DLBCL are known to have worse outcomes than younger patients with the same disease, in part due to comorbidities and poor performance status that may decrease their ability to tolerate treatment. A recent phase II study (Lancet Oncology 2011;12:460-8) demonstrated that patients with DLBCL who were older than 80 years of age had excellent tolerability while still maintaining efficacy when treated with an attenuated dose of R-CHOP called “R-mini-CHOP”. This paper prompted a change in treatment policy of very elderly patients with DLBCL at the London Regional Cancer Program. In November 2011, we began treating all DLBCL patients > 80 (and select patients aged 70-79 with significant comorbidities) with the R-mini-CHOP regimen rather than with standard R-CHOP or a ‘randomly dose-attenuated version’ of R-CHOP, which had been our practice prior to the policy change. Objective: This quality assurance study was undertaken in order to monitor and ensure the safety and efficacy of this practice change. Methods: Data was collected prospectively on all elderly patients with DLBCL who were initiated on R-mini-CHOP between November 2011 and January 2013. A retrospective chart review was also performed on patients > 80 treated at our centre in the preceding 10 years, after R-CHOP became standard treatment in elderly patients with DLBCL. We used 16 patients > 80 who received full dose R-CHOP between January 2010 and November 2011 as a historical control group for our prospective cohort. Results: Since November 2011, 17 patients (median age 81, range 71-90) have been treated with R-mini-CHOP and were enrolled in this quality assurance study. All 17 patients had stage III or IV disease. In contrast, only 6/16 patients in the retrospective group were advanced stage (p=0.00004). 12/17 R-mini-CHOP patients (70.6%) had an ECOG > 1, vs. 7/16 R-CHOP patients (43.8%, p=0.070). No dose modifications have been required in patients on R-mini-CHOP. 11/16 patients on R-CHOP underwent dose reductions due to side effects of chemotherapy. The majority of patients in both cohorts received primary prophylaxis with neupogen/neulasta. Five patients remain on R-mini-CHOP, all showing evidence of clinical response. Follow-up is too short to report on PFS or OS, but overall response rate thus far is 10/12 (83%) with 7 CRs (58.3%) and 3 PRs (25%). This compares favorably to the retrospective group who had an ORR of 13/16 (81%, p=0.30), 7 CRs (43.8%) and 6 PR’s (37.5%). One patient in each group had stable disease at the end of treatment. One mini-R-CHOP patient progressed on treatment and ultimately died of lymphoma. In the retrospective cohort, 4 deaths occurred secondary to infectious complications of chemotherapy during treatment period. C onclusions: Results with R-mini-CHOP have been encouraging so far. Despite the more aggressive disease (higher stage, inferior ECOG) in our R-mini-CHOP patients compared to the historical controls treated with R-CHOP, similar response rates are being achieved, with fewer adverse effects and better tolerability. Ongoing enrollment and longer follow-up will further help define the role of R-mini-CHOP in the very elderly patient population. Updated results with longer followup will be presented at the meeting. Disclosures No relevant conflicts of interest to declare.

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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)0.003
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.010
GPT teacher head0.258
Teacher spread0.247 · 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
Published2014
Admission routes1
Has abstractyes

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