{"id":"W4417017803","doi":"10.1182/blood-2025-129","title":"PET-adaptive beacopp- versus ABVD-based therapies for advanced-stage (AS) classic Hodgkin lymphoma (cHL): Survival comparisons leveraging a multi-state model and analyzing the impact of a-hipi scores across the disease course","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre","funders":"","keywords":"ABVD; Hodgkin lymphoma; Clinical trial; Disease; Proportional hazards model; Stage (stratigraphy); Lymphoma; International Prognostic Index; Interim analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004259448,0.0004521908,0.0005798709,0.0003067661,0.0001764944,0.0005470458,0.0006088046,0.0003531937,0.001738469],"category_scores_gemma":[0.00316949,0.0001782891,0.001371411,0.0002987159,0.0003919678,0.0004306176,0.0006419485,0.0006388287,0.0001257292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007966711,"about_ca_system_score_gemma":0.0006702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834254,"about_ca_topic_score_gemma":0.001599312,"domain_scores_codex":[0.9990271,0.0006594402,0.00003858577,0.0001663722,0.00004690278,0.00006155636],"domain_scores_gemma":[0.9976191,0.001546685,0.0003909156,0.0002262696,0.00009291278,0.000124141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1308836,0.004585645,0.4605907,0.000686228,0.007662215,0.0002456523,0.0003518985,0.2700916,0.00900915,0.002935926,0.002226211,0.1107311],"study_design_scores_gemma":[0.006702514,0.05215265,0.3098811,0.00009337837,0.005306612,0.0004568081,0.0003167967,0.6060085,0.008125521,0.007094997,0.003762957,0.0000981984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953701,0.0002731107,0.003322838,0.00005493485,0.00001001282,0.0001226071,0.0004759754,0.00002073472,0.0003497394],"genre_scores_gemma":[0.9975827,0.00006809944,0.001073874,0.00002942247,0.00001019146,0.0001621687,0.0008431202,0.000004047614,0.0002263546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004259448,"threshold_uncertainty_score":0.02252638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745001400502891,"score_gpt":0.3630787663845383,"score_spread":0.3156287523795094,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}