Treatment of Stage I-II A Non-Bulky Hodgkin's Lymphoma (HL): An Individual Patient-Data Comparison of German Hodgkin Study Group (GHSG) HD10 and HD11 Combined-Modality Therapy (CMT) and NCIC Clinical Trials Group (NCIC CTG) HD.6 ABVD Alone
Notice bibliographique
Résumé
Abstract Abstract 548 Background: Excellent results are seen in HL patients with stage I-IIA disease treated with CMT that includes involved field radiation therapy (IFRT), as per GHSG HD10 [Engert NEJM 2010] and HD11 [Eich JCO 2010] or with ABVD alone, as per NCIC CTG/ECOG HD.6 [Meyer NEJM 2012]. Comparing these reports is complicated by differences in eligibility, staging, endpoints and follow-up duration. Our objectives were to use individual patient data from these 3 trials to compare outcomes after standardizing patient eligibility. Methods: Potentially eligible patients were those treated with 2 cycles of ABVD/20 Gy IFRT on GHSG HD10, 4 cycles of ABVD/30 Gy IFRT on GHSG HD11 and 4–6 cycles of ABVD alone on NCIC CTG HD.6. To be included in analysis, patients were required to be eligible for GHSG HD10 or HD11 and NCIC CTG HD.6. Eligibility of HD10/11 patients for HD.6 was determined by the GHSG by applying HD.6 protocol criteria. Anonymized individual patient data of eligible patients was forwarded to NCIC CTG along with reasons for ineligibility of other patients. Eligibility of HD.6 patients for HD10/11 was determined by NCIC CTG by applying HD10/11 protocol criteria with listing of reasons for ineligibility. Eligibility questions were resolved through consensus. Patients meeting mutually inclusive eligibility criteria were stratified by a propensity score (PSc) based on age, gender, stage, ESR and number of disease sites. Outcomes were based on Revised Response Criteria for Malignant Lymphoma [Cheson JCO 2007]; no trial incorporated PET scanning. The primary outcome measure was progression-free survival (PFS), which includes disease progression and death from any cause as events. Secondary outcomes included overall survival (OS) and time to progression (TTP), which includes disease progression and death from HL as events. A priori subsets for analysis included eligibility for HD10 vs. HD11 and CR/CRu status after 2 cycles of ABVD among those eligible for both HD10 and HD.6. Cox models stratified by PSc were used to obtain hazard ratios (HR) for PFS, OS and TTP; HRs are expressed as GHSG HD10/11 relative to NCIC CTG HD.6. Results: Of 655 patients eligible for selected arms of HD10/HD11, 406 were eligible when applying the inclusion criteria for HD.6 (HD10 = 254; HD11 = 152). Most common reasons for ineligibility were B symptoms (n=127) and large mediastinal mass (n=80). Of 196 HD.6 patients, 182 were eligible for HD10 (n=110) or HD11 (n=71; 1 patient not assignable). Median follow-up for both HD10 and HD11 was 91 months and for HD.6 was 134 months. Results that include all eligible patients are shown in table; TTP was superior in GHSG trials. In the HD10/HD.6 subset, 8-yr PFS was 87% vs 82% (HR=0.58; 95% CI=0.32–1.05) and OS was 96% vs 94% (HR=0.65; 95% CI=0.25–1.72). Among those with CR/CRu after 2 cycles of ABVD, 8-yr PFS was 87% vs 95% (HR=2.8; 95% CI=0.64–12.5) and OS was 96% vs 100%. Among those without CR/CRu after 2 cycles of ABVD, 8-yr PFS was 88% vs 74% (HR=0.35; 95% CI=0.16–0.79) and OS was 95% vs 91% (HR=0.42; 95% CI=0.12–1.44). In the HD11/HD.6 subset, 8-yr PFS was 91% vs 91% (HR=1.15; 95% CI=0.45–2.97) and OS was 95% vs 97% (HR=2.03; 95% CI=0.53–7.79). Among 406 HD10/11 patients, there have been 19 deaths; 7 were attributed to HL or immediate treatment toxicity and 12 to other causes. Among 182 HD.6 patients, there have been 10 deaths; 5 were attributed to HL or immediate treatment toxicity and 5 to other causes. Conclusions: In this non-randomized cohort comparison, TTP was superior and PFS trended to being superior in patients treated with CMT on HD10/11. No differences in OS are evident; longer follow-up is needed to assess trade-offs between disease control and risks of late treatment effects. The role of IFRT in attaining long-term disease control appears to be especially important in those who do not attain CR/CRu status after 2 cycles of ABVD. As outcomes of those eligible for HD10/HD.6 and treated with 4–6 cycles of ABVD alone were excellent if CR/CRu was attained after 2 cycles of ABVD, these data support more recent strategies evaluating response-adapted approaches for use of IFRT. Disclosures: Borchmann: Millenium The Takeda Oncology Company: Research Funding; Takeda Pharma GmbH: Travel Grants, Travel Grants Other. Horning:Genentech: Employment; Roche: Equity Ownership. Engert:Millenium The Takeda Oncology Company: Honoraria. Meyer:Lilly: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen Canada: Research Funding; Ariad Pharma: Research Funding; Astex Therapeutics: Research Funding; AstraZeneca: Research Funding; Bristol-Myers Squibb: Research Funding; GlaxoSmithKline: Research Funding; Janssen Ortho: Research Funding; Novartis: Research Funding; Oncothyreon: Research Funding; Pfizer: Research Funding; Roche: Research Funding; Sanofi-Aventis: Research Funding; Schering Canada: Research Funding.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».