{"id":"W4412137295","doi":"10.1002/ehf2.15366","title":"Clinical Endpoints in Pragmatic Heart Failure Trials: From Data Collection to Clinical Endpoint Classification","year":2025,"lang":"en","type":"review","venue":"ESC Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"National Heart, Lung, and Blood Institute; Relypsa; Respicardia; Vetenskapsrådet; Cytokinetics; Astellas Pharma; Novo Nordisk; Verily Life Sciences; ReCor Medical; AstraZeneca; Amarin Corporation; Boston Scientific Corporation; Gilead Sciences; Eli Lilly and Company; Impulse Dynamics; University of Pittsburgh; Vifor Pharma; Pfizer; Amgen; Edwards Lifesciences; Patient-Centered Outcomes Research Institute; American Regent; Sanofi; American Heart Association; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Medicine; Heart failure; Clinical endpoint; Clinical trial; Intensive care medicine; Endpoint Determination; Data collection; Internal medicine; Surrogate endpoint; Cardiology; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3931754,0.00284216,0.01412555,0.007170904,0.001250974,0.01211087,0.004801028,0.005026296,0.003398173],"category_scores_gemma":[0.5473942,0.002134092,0.008080534,0.01020057,0.004785737,0.008706514,0.007716004,0.008552959,0.0008787676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006041013,"about_ca_system_score_gemma":0.02110185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718625,"about_ca_topic_score_gemma":0.004043629,"domain_scores_codex":[0.4368738,0.4826762,0.05083044,0.006023073,0.02265802,0.0009383985],"domain_scores_gemma":[0.3299333,0.6143619,0.02678855,0.01076746,0.01677154,0.001377168],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001240552,0.00009085255,0.001640611,0.277332,0.008534124,0.00009168727,0.00175133,0.001220543,0.0002101242,0.02970966,0.01351861,0.6646599],"study_design_scores_gemma":[0.003807241,0.001087379,0.005874814,0.6413909,0.01895206,0.0004334822,0.001398757,0.00389554,0.0009429465,0.1002104,0.2215942,0.0004123361],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001152452,0.9441576,0.02906597,0.01494516,0.001788863,0.004990034,0.0008284228,0.0001151578,0.002956384],"genre_scores_gemma":[0.04928803,0.710356,0.1774241,0.02189914,0.0028593,0.03556524,0.001685294,0.0002262233,0.00069672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3931754,"threshold_uncertainty_score":0.7483228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2662729819247575,"score_gpt":0.5029556236156568,"score_spread":0.2366826416908993,"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."}}