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Safety and Efficacy of Mini-CHOP-R Chemotherapy for Treatment of Diffuse Large B Cell Lymphoma in Very Elderly Patients: A Quality Assurance Study

2015· article· en· W2979316304 on OpenAlexaffabout
Mitchell D.B. Hodgins, Joy Mangel, Gwynivere A Davies, Leonard Minuk, Selay Lam

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of CalgaryLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineCHOPDiffuse large B-cell lymphomaInternal medicineChemotherapy regimenAdverse effectLymphomaChemotherapySurgeryOncology

Abstract

fetched live from OpenAlex

Background: Diffuse Large B Cell Lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma. Very elderly patients with DLBCL, defined as patients who are 80 years of age or older, have inferior outcomes related to co-morbid illness, poor performance status, and intolerance of full dose chemotherapy. In 2011, a phase II study of DLBCL in very elderly patients suggested a dose attenuated protocol of CHOP-R (mini-CHOP-R) reduced adverse effects while maintaining efficacy (Lancet Oncology 2011). Based on these results, the mini-CHOP-R protocol became the standard of care for very elderly patients at the London Regional Cancer Program (LRCP) in London, Ontario, Canada in November 2011. These patients had previously received either standard dose CHOP-R or a modified version in which the dose was reduced at the discretion of the treating clinician. Objective: This quality assurance study compares safety and efficacy outcomes among very elderly patients with DLBCL treated before and after adoption of the mini-CHOP-R treatment protocol. Methods: Outcomes of very elderly patients with DLBCL treated at LRCP with mini-CHOP-R between November 2011 - November 2014 were compared to the outcomes of patients treated in the 5 years preceding the treatment policy change. Results: Seventy-three patients were evaluated in this study. Thirty-seven patients (16M/21F; median age 83, range 80-93) treated with mini-CHOP-R comprised the study group, and thirty-six patients (16M/20F; median age 83, range 80-97) who received standard or 'clinician-modified' CHOP-R comprised the historical control group. The two groups differed in stage and ECOG status but were otherwise similar. Thirty-three (89%) study patients had advanced stage disease vs. 15 (42%) patients in the control group (p= 0.018). Thirty-three (89%) mini-CHOP-R patients had an ECOG > 1 compared to 13 (36%) controls (p=0.0013). Study patients received a median of 6 cycles of mini-CHOP-R compared to 4.28 cycles in the CHOP-R cohort (p=0.11). Granulocyte-colony stimulating factors were used as primary prophylaxis in the majority of patients in both cohorts. Chemotherapy side effects necessitated dose reductions in 6 (16%) mini-CHOP-R patients vs. 24 (67%) control patients. This was mainly due to the difference in febrile neutropenia, which complicated 4/178 mini-CHOP-R cycles (2%) compared to 16/181 CHOP-R cycles (9%). Cardiac complications were observed in 1 (3%) mini-CHOP-R patient, compared with 3 (8%) controls. Response rates of mini-CHOP-R treated patients compared favorably to controls, with overall response rates of 31/37 (84%) vs. 30/36 (83%), complete responses of 20 (54%) vs. 19 (53%), and partial responses of 11 (30%) vs. 11 (31%). Six patients in each group progressed on treatment. The 1-year overall survival and 1-year progression-free survival rates were 60% and 51% in mini-CHOP-R study group compared to 56% and 53% in control group. Conclusions: Results with mini-CHOP-R have been encouraging so far. Despite the more aggressive disease (higher stage, inferior ECOG) in mini-CHOP-R patients compared to controls treated with CHOP-R, similar response rates were achieved, with fewer adverse effects and better tolerability, which is of particular importance in very elderly patients. Longer follow up will be necessary to determine durability of responses. 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)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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 designNon-randomized trial
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
Published2015
Admission routes2
Has abstractyes

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