MétaCan
Menu
Back to cohort
Record W2623202484 · doi:10.1002/hon.2437_130

FIRST‐LINE TREATMENT OF INHL OR MCL PATIENTS WITH BR OR R‐CHOP/R‐CVP: RESULTS OF THE BRIGHT 5‐YEAR FOLLOW‐UP STUDY

2017· article· en· W2623202484 on OpenAlexaff
Ian W. Flinn, Richard van der Jagt, Julie Chang, Peter Wood, T Hawkins, David MacDonald, Judith Trotman, David Simpson, Kathryn S. Kolibaba, Samar Issa, Doreen M. Hallman, L. Chen, John M. Burke

Bibliographic record

VenueHematological Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsQueen Elizabeth II Health Sciences CentreOttawa Hospital
Fundersnot available
KeywordsMedicineRituximabVincristinePrednisoneCHOPInternal medicineHazard ratioGastroenterologyMantle cell lymphomaCyclophosphamideConfidence intervalLymphomaSurgeryOncologyChemotherapy

Abstract

fetched live from OpenAlex

Introduction: BRIGHT, a phase 3, open-label, noninferiority study comparing efficacy and safety of bendamustine plus rituximab (BR) vs rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) or rituximab with cyclophosphamide, vincristine, and prednisone (R-CVP) in treatment-naive patients with indolent non-Hodgkin lymphoma (iNHL) or mantle cell lymphoma (MCL), showed that the complete response rate for first-line BR was statistically noninferior to R-CHOP/R-CVP (Blood 2014;123:2944-52). Patients were monitored for ≥5 years to assess the overall effect of BR or R-CHOP/R-CVP in a controlled clinical setting. This analysis reports the time-to-event variables of the 5-year follow-up study. Methods: Patients with iNHL or MCL randomized to 6-8 cycles of BR or R-CHOP/R-CVP underwent complete assessments at end of treatment, then were monitored regularly. Progression-free survival (PFS), event-free survival (EFS), duration of response (DOR), and overall survival (OS) were compared using a stratified log-rank test. Results: Of 447 randomized patients, 224 received BR, 104 R-CHOP, and 119 R-CVP; 419 entered the follow-up study. The median follow-up time was 65.0 and 64.1 months for BR and R-CHOP/R-CVP, respectively. The 5-year PFS rate was 65.5% (95% confidence interval [CI]: 58.5-71.6) and 55.8% (48.4-62.5), and OS was 81.7% (75.7-86.3) and 85% (79.3-89.3) for BR and R-CHOP/R-CVP, respectively. The hazard ratio (95% CI) for PFS was 0.61 (0.45-0.85; P = .0025), EFS 0.63 (0.46-0.84; P = .0020), DOR 0.66 (0.47-0.92; P = .0134), and OS 1.15 (0.72-1.84; P = .5461) comparing BR vs R-CHOP/R-CVP. Similar results were found in iNHL [PFS 0.70 (0.49-1.01; P = .0582)] and MCL [PFS 0.40 (0.21-0.75; P = .0035)], with the strongest treatment effect in MCL (Figure). Use of rituximab maintenance was similar, 43% in BR and 45% in R-CHOP/R-CVP. Bendamustine was included as second-line in 27 (36%) of the 75 patients requiring therapy who originally received R-CHOP/R-CVP. Comparable safety profiles with expected adverse events were observed in the follow-up study in BR vs R-CHOP/R-CVP. Conclusions: The long-term follow-up of the BRIGHT study has confirmed that PFS, EFS, and DOR were significantly better for BR, and OS was not statistically different between BR and R-CHOP/R-CVP. The safety profile was as previously reported. Keywords: bendamustine; mantle cell lymphoma (MCL); non-Hodgkin lymphoma (NHL).

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)0.004
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.346
Teacher spread0.281 · 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".

Quick stats

Citations11
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHematological OncologySame topicLymphoma Diagnosis and TreatmentFrench-language works237,207