{"id":"W4226198019","doi":"10.2215/cjn.14231021","title":"Dapagliflozin and Kidney Outcomes in Hospitalized Patients with COVID-19 Infection","year":2022,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Castle Biosciences; Moderna; Union Chimique Belge; Novo Nordisk; Dexcom; Cytokinetics; Acceleron; Regeneron Pharmaceuticals; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; CSL Behring; Gilead Sciences; Sanofi; Amgen; ViiV Healthcare; GlaxoSmithKline; Pfizer","keywords":"Medicine; Dapagliflozin; Hazard ratio; Confidence interval; Internal medicine; Placebo; Clinical endpoint; Population; Renal function; Kidney disease; Randomized controlled trial; Diabetes mellitus; Type 2 diabetes; Pathology","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":[0.001301045,0.0002748784,0.0007910229,0.0001876394,0.000217148,0.0005876911,0.0002367262,0.0005039174,0.001281497],"category_scores_gemma":[0.002700502,0.0001573972,0.0009809817,0.0002846902,0.0002634927,0.0003298171,0.0003624118,0.0009028754,0.0000587538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216999,"about_ca_system_score_gemma":0.0004960211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008185702,"about_ca_topic_score_gemma":0.001230011,"domain_scores_codex":[0.9994234,0.0002562924,0.00008965764,0.00007148518,0.0000709602,0.00008813749],"domain_scores_gemma":[0.9978358,0.0006466425,0.000908068,0.00005135643,0.00009323203,0.0004648319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2332363,0.003661966,0.6981605,0.0009811422,0.00315544,0.0001891536,0.0001047997,0.0009447663,0.001989261,0.0002421575,0.002049021,0.05528548],"study_design_scores_gemma":[0.0466192,0.03826496,0.9060302,0.0002619121,0.002762558,0.0004276032,0.0001414468,0.002331374,0.0009234529,0.0004320239,0.001766591,0.00003854981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942963,0.004213312,0.00009581924,0.0003111203,0.0000591335,0.00006093686,0.0003770109,0.00000494458,0.0005815091],"genre_scores_gemma":[0.9980198,0.0008575779,0.0002008032,0.0002666317,0.0001108542,0.00006569987,0.0003600775,9.903331e-7,0.0001175044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001301045,"threshold_uncertainty_score":0.006880701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345970150911977,"score_gpt":0.340284364733738,"score_spread":0.3168246632246182,"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."}}