{"id":"W4328052867","doi":"10.1093/eurheartj/ehad083","title":"Anthropometric measures and adverse outcomes in heart failure with reduced ejection fraction: revisiting the obesity paradox","year":2023,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Heart, Lung, and Blood Institute; Relypsa; Respicardia; Regeneron Pharmaceuticals; National Institutes of Health; MyoKardia; Novo Nordisk; Daiichi-Sankyo; Daiichi Sankyo Europe; Gilead Sciences; Servier; University of Glasgow; Pfizer; Moderna; British Heart Foundation; Cytokinetics; Ironwood Pharmaceuticals, Incorporated; Celladon Corporation; Sanofi Pasteur; Boston Scientific Corporation; Alnylam Pharmaceuticals; American Regent; Sanofi; Amgen; AstraZeneca; Eli Lilly and Company; GlaxoSmithKline","keywords":"Medicine; Ejection fraction; Heart failure; Anthropometry; Obesity paradox; Obesity; Cardiology; Heart failure with preserved ejection fraction; Internal medicine; Adverse effect; Overweight","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":[0.005227478,0.0005337361,0.0007256641,0.001076967,0.0001976398,0.001095973,0.0006224485,0.0008540404,0.0006579229],"category_scores_gemma":[0.009965559,0.0002126407,0.0005493396,0.000951527,0.0009445021,0.001189382,0.0009206969,0.002241471,0.0001282199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642158,"about_ca_system_score_gemma":0.0003794754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065839,"about_ca_topic_score_gemma":0.00113216,"domain_scores_codex":[0.9991496,0.0004416533,0.00007321026,0.0001241836,0.0001618255,0.00004948469],"domain_scores_gemma":[0.9913005,0.005058735,0.002103667,0.0006856051,0.0004275278,0.0004238941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001268224,0.00009998635,0.9607996,0.0002191547,0.0009145408,0.0003684241,0.0002513863,0.0004500843,0.001017392,0.0007616927,0.0007203035,0.03312917],"study_design_scores_gemma":[0.00004420654,0.0003988663,0.9933941,0.00009839407,0.0003237159,0.0006083439,0.0002631485,0.001306484,0.0001934072,0.002223054,0.001128105,0.0000182918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321406,0.05283512,0.00236071,0.0100376,0.0003114926,0.00001147949,0.0002811743,0.00003267499,0.00198921],"genre_scores_gemma":[0.9924544,0.004634545,0.0008235809,0.001204956,0.0006309136,0.000004719708,0.0001216827,0.00001103658,0.0001140557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005227478,"threshold_uncertainty_score":0.02764589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622640309648137,"score_gpt":0.293535281639273,"score_spread":0.2573088785427916,"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."}}