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Autologous Transplantation Improves Survival Rates for Follicular Lymphoma Patients Who Relapse within 2-Years of Chemoimmunotherapy: A Multi-Centre Retrospective Analysis of Consecutively Treated Patients in the Real World

2017· article· en· W3183608863 on OpenAlexaffabout
Mita Manna, Richard M. Lee‐Ying, Gwynivere A Davies, Anthea Peters, Danielle H. Oh, Colin A. Stewart, Douglas A. Stewart

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineFollicular lymphomaChemoimmunotherapyMelphalanRituximabInternal medicineSurgerySalvage therapyRetrospective cohort studyTransplantationInternational Prognostic IndexAlemtuzumabUnivariate analysisEtoposideOncologyLymphomaChemotherapyMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Introduction: Although rituximab-based chemoimmunotherapy (RChemo) significantly improves overall survival (OS) for follicular lymphoma (FL), approximately 20% of patients experience initial time to progression (TTP1) of ≤2 years (early relapse) and relatively poor OS. We conducted a retrospective study to evaluate OS rates for patients with early relapse who were treated with or without high dose therapy and autologous stem cell transplantation (ASCT). Methods: A retrospective, multi-centre, study was conducted to identify all patients aged 18 to 70 years who were consecutively diagnosed in Alberta with grade 1 to 3a FL prior to 2011, and eventually received RChemo as their initial systemic therapy. Patient characteristics including Follicular Lymphoma International Prognostic Index (FLIPI) factors at RChemo, treatment details including Rituximab-maintenance (RMaintenance), TTP post-RChemo, frequency of transformation at relapse, and treatments after relapse were obtained. TTP and OS following RChemo and ASCT were evaluated in univariate and multivariate analyses. Results: Interrogation of the Alberta Cancer Registry identified 397 patients diagnosed with FL prior to 2011 who received RChemo. At a median follow-up of 92 months (3-179), 148 (37.3%) of the 397 patients relapsed from RChemo, including 82 (20.7%) with early relapse ≤2years and 66 (16.6%) with late relapse >2years. Table 1.0 lists characteristics of the 148 patients who relapsed after RChemo. Seventy-one (48.0%) patients underwent ASCT at relapse. Conditioning regimens included high dose melphalan (n=49, 69%, of whom 35 also received total body irradiation), BEAM (carmustine, etoposide, cytarabine, melphalan, n=21, 29.6%), and CBV (cyclophosphamide, BCNU, VP-16, n=1, 1.4%). In total, there were 29.1% (n=43) deaths following relapse, with majority of deaths due to FL (n=32, 74.4%). The projected 10-year OS following first RChemo was 93.8% in those with no relapse, 76.4% with late relapse, and 56.9% with early relapse (logrank p Conclusions: Our study strongly suggests that the use of ASCT for FL patients who relapse within 2 years of RChemo is associated with improved OS. Download : Download high-res image (179KB) Download : Download full-size image Disclosures Peters: Gilead: Honoraria; Janssen: Honoraria; Lundbeck: Honoraria; Roche: Honoraria; Abbvie: Honoraria. Stewart: Merck: Honoraria; Janssen: Honoraria; Abbvie: Honoraria; Gilead: Honoraria; Seattle Genetics: Honoraria; BMS: Honoraria; Roche: Honoraria; Amgen: Honoraria; Servier: Honoraria; Lundbeck: Honoraria.

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)0.001
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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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Citations0
Published2017
Admission routes2
Has abstractyes

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