{"id":"W7108721199","doi":"10.1182/blood-2025-6025","title":"Propensity score matching analysis comparing the efficacy and long-term outcomes of belumosudil to the best available treatment as a historical control, used as second-line therapy or beyond for chronic GVHD after steroid failure.","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Hôpital Maisonneuve-Rosemont; University Health Network; Saskatchewan Cancer Agency; Princess Margaret Cancer Centre; University of Calgary; McMaster University; University of Toronto; Hamilton Health Sciences; Université de Montréal; Université Laval; BC Cancer Agency","funders":"","keywords":"Propensity score matching; Confounding; Randomized controlled trial; Clinical trial; Statistical significance; Sample size determination; Meta-analysis; Retrospective cohort study","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005070476,0.0002343927,0.0007220622,0.001175708,0.0002846759,0.0004387669,0.0003806718,0.000365347,0.001894076],"category_scores_gemma":[0.00684266,0.0001254159,0.00176195,0.00105203,0.0003594847,0.0003409923,0.0004797177,0.0003550923,0.0001263616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000885685,"about_ca_system_score_gemma":0.0007472389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196319,"about_ca_topic_score_gemma":0.0009046058,"domain_scores_codex":[0.9972825,0.001284951,0.0004618613,0.0004344632,0.0003354922,0.0002006844],"domain_scores_gemma":[0.9957898,0.001179887,0.001993868,0.0005877696,0.0002257458,0.000222926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04217506,0.0006457922,0.9048966,0.0003265866,0.004557501,0.0001748053,0.0001498764,0.004495476,0.001548713,0.0008688886,0.001168772,0.03899202],"study_design_scores_gemma":[0.001764015,0.008676505,0.9588016,0.00005278024,0.003085028,0.0003956771,0.0001763037,0.02151505,0.001491984,0.001052888,0.002947235,0.00004088799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950069,0.001067994,0.00270551,0.00006066192,0.00004059085,0.0001678641,0.0006238407,0.00001284313,0.0003137813],"genre_scores_gemma":[0.9985671,0.00008695861,0.0005112845,0.00002473095,0.0000152824,0.00009255089,0.0005701528,0.000002589534,0.0001293013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005070476,"threshold_uncertainty_score":0.02681559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326753431317449,"score_gpt":0.3691514662015358,"score_spread":0.2364761230697909,"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."}}