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Record W2575159787 · doi:10.1182/blood.v106.11.817.817

Relapse Patterns and Subsequent Outcomes of Patients Treated on the NCIC CTG HD.6 (ECOG JHD06) Randomized Trial Evaluating ABVD Alone in Patients with Limited Stage Hodgkin Lymphoma (HL).

2005· article· en· W2575159787 on OpenAlexaff
David MacDonald, Mary Gospodarowicz, Woodrow Wells, R. Pearcey, Joseph M. Connors, Jane N. Winter, Sandra J. Horning, Marina Djurfeldt, Keyue Ding, L. E. Shepherd, Ralph M. Meyer

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsJuravinski Cancer CentrePrincess Margaret Cancer CentreMcMaster UniversityBC Cancer AgencyOntario Institute for Cancer Research
Fundersnot available
KeywordsABVDMedicineRandomized controlled trialInternal medicineStage (stratigraphy)Radiation therapyChemotherapy regimenRituximabRandomizationChemotherapySurgeryOncologyLymphomaVincristine

Abstract

fetched live from OpenAlex

Abstract Background: We completed a randomized trial comparing ABVD alone with treatment that included extended field (EF) radiation therapy (RT) in 399 patients with limited stage HL. Patients allocated to EF RT received this as a single modality if categorized as favourable risk or preceded by 2 cycles of ABVD if unfavourable risk. The 5-year FFP was superior in patients receiving RT but no difference in overall survival was detected as the difference in FFP has been offset by deaths due to other causes (Meyer, J Clin Oncol2005; 23: 4634 42). Overall, 34 patients had progressive disease (PD) and 15 patients died (4 from HL, 2 from treatment-related toxicity and 9 from other causes). To better understand the implications of treatment with ABVD alone, we compared the patterns of PD and outcomes with secondary therapy of the two randomized groups. We were particularly interested in assessing how frequently sites of PD observed in patients assigned to ABVD alone occurred within the EF of RT that was prescribed in the HD.6 trial, or within a hypothetical involved field (IF) of RT that constitutes an accepted current practice. Methods: Two expert reviewers, blinded to treatment allocation, were provided a list of disease sites at diagnosis and at PD. Sites of PD were categorized as ’within field only’, ’out of field only’ and ’in + out of field’. Two analyses were performed by considering both EF and IF RT fields. A third blinded reviewer adjudicated disagreements. Results: Inter-observer agreement was excellent for both the EF (kappa 0.87) and IF (kappa = 1.0) analyses. More cases of PD were observed in patients allocated to ABVD alone (24 vs. 10). More within field only PD was observed in patients allocated to ABVD alone when assessed according to both the EF (88% vs 30%; P = 0.002) and IF (71% vs. 20%; P = 0.01) analyses. Individual investigators determined the actual choice of therapy for PD; among patients allocated to ABVD alone, secondary therapy included chemotherapy alone (2), RT alone (8), combined modality therapy (6) and autologous stem cell transplantation (8). No difference in the proportion of patients alive without second progression was detected between patients allocated to ABVD alone (18 /24; 75%) or treatment that included RT (8 /10; 80%) (P = 1.0). Conclusion: For patients with limited stage HL, treatment with ABVD alone is associated with a greater risk of PD at disease sites that would be included in an IF of RT. Secondary therapy is often successful and further testing is required to determine the optimum choice of therapy for these patients.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
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 integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 designRandomized 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

Citations4
Published2005
Admission routes1
Has abstractyes

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