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Comparison of Outcomes By Age of Patients with Limited Stage Hodgkin Lymphoma Treated with ABVD Alone; A Secondary Analysis of the Canadian Cancer Trial Group HD.6 Trial

2017· article· en· W2944978620 on OpenAlexaffabout
Laura Rodríguez‐Romo, Ralph M. Meyer, Joseph L. Pater, Jonathan Sussman, Siwei Zhang, Lui Hongbo, Jane N. Winter, T. Vuong, Walter Blahey, Liam Mulroy, Lois E. Shepherd, Marina Djurfeldt, Bingshu E. Chen, Annette E. Hay

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsDalhousie UniversityMcGill UniversityUniversity of CalgaryJuravinski Cancer CentreMcMaster UniversityQueen's University
Fundersnot available
KeywordsABVDMedicineDacarbazineInternal medicinePopulationChemotherapy regimenOncologyVinblastineSurvival analysisCancerSurgeryChemotherapyVincristine

Abstract

fetched live from OpenAlex

Introduction: Management options for individuals with early-stage Hodgkin lymphoma (HL) include combined modality therapy (CMT), and chemotherapy alone. The HD.6 randomized phase III trial, in which ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) alone was compared with radiation based therapy, comprises the largest prospectively collected data set of individuals with limited stage HL treated with ABVD alone with long-term follow-up [Meyer JCO 2005, NEJM 2012]. Adolescents and young adults (AYAs) with cancer are considered a vulnerable population, in part due to unique psychosocial challenges and distinct disease biology. The most common cancer observed among AYAs is HL. However, studies focusing specifically on AYAs diagnosed with limited stage HL are scarce. We sought to evaluate the impact of age on outcomes of individuals with stage IA and IIA non-bulky HL, treated with ABVD alone. Methods: Individuals randomly assigned to ABVD chemotherapy alone on the HD.6 clinical trial formed the study population for this secondary analysis. The Kaplan-Meier life-table method was used to calculate the rates of overall survival (OS), event free survival (EFS) and freedom from disease progression (FFDP) defined as in the original trial. The primary analysis used univariate and multivariate Cox regression models with age included as a continuous variable. The following covariates were used in the multivariate analysis: age, gender, ECOG performance status (0-1 vs. ≥ 2), stage, erythrocyte sedimentation rate (ESR, 30 years old were compared with the use of the log-rank test for time to event endpoints and Chi-squared test for response rates, acute toxicity and chemotherapy administration. All analyses were based on the locked data base of July 15, 2011. Results: Of 196 eligible patients assigned to ABVD alone, median age was 34 years (range 17 to 68), 106 (54%) were male and 76 (38.8%) were 60 years at study enrolment and > 65 years at death. There was no statistical difference in overall response rates (62/76, 81.6% vs. 97/120 80.8%), acute grade 3 and 4 toxicities, or chemotherapy administration between those aged under 30, or over 30 years. Conclusions : In this randomized phase III trial of individuals with limited stage Hodgkin lymphoma, clinical outcomes of AYAs were comparable with those of adults in middle age. However, deaths were most prominent in older patients > 60 years at the time of diagnosis and predominantly from causes other than Hodgkin lymphoma, explaining the impact of age as a continuous variable on survival but not disease progression. Disclosures Winter: Merck: Research Funding; Glaxo-Smith-Kline: Research Funding. Hay: Celgene: Research Funding; Roche: Research Funding; Abbvie: Research Funding; Kite: Research Funding; Amgen: Research Funding; Janssen: Research Funding; Novartis: Research Funding.

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)0.006
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.292
Teacher spread0.269 · 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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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