{"id":"W7074136971","doi":"","title":"Effect of SGLT2 inhibitors on stroke and atrial fibrillation in diabetic kidney disease: Results from the CREDENCE trial and meta-analysis","year":2021,"lang":"en","type":"article","venue":"Aston Publications Explorer (Aston University)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"AstraZeneca; Amarin Corporation; National Health and Medical Research Council; Verily Life Sciences; Medical Research Council; National Institutes of Health; HLS Therapeutics; Bristol-Myers Squibb; Akebia Therapeutics; Mitsubishi Tanabe Pharma Corporation; Daiichi Sankyo Europe; Servier; Novo Nordisk; Canadian Institutes of Health Research; Pfizer; Innovent Biologics; Janssen Scientific Affairs; Kidney Foundation of Canada; National Institute of Diabetes and Digestive and Kidney Diseases; Sanofi; Kowa Company; Ablynx; Alnylam Pharmaceuticals; Amgen; Eli Lilly and Company","keywords":"Stroke (engine); Diabetes mellitus; Albuminuria; Renal function; Atrial fibrillation; Canagliflozin; Kidney disease; Apixaban; Hazard ratio; Nephropathy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001785728,0.0001292365,0.0003243108,0.0001737915,0.0001215819,0.00005748078,0.0001202124,0.00002763844,0.0001263256],"category_scores_gemma":[0.0001415338,0.00010176,0.0003451792,0.0008952807,0.0001411151,0.0002195309,0.0001048187,0.0001059643,0.000003569368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000019287,"about_ca_system_score_gemma":0.00008911451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008872509,"about_ca_topic_score_gemma":0.000004433728,"domain_scores_codex":[0.9987994,0.000336862,0.000210692,0.0003422422,0.0001995881,0.0001112185],"domain_scores_gemma":[0.9981822,0.00111707,0.0001745622,0.0002878235,0.0001040844,0.0001342843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01479117,0.000298916,0.03443931,0.0000228859,0.02531048,0.000004429983,0.001616321,0.01770845,0.0002397554,0.8889096,0.0009675126,0.01569113],"study_design_scores_gemma":[0.1613957,0.003346455,0.1806767,0.0001272595,0.4025162,9.600791e-7,0.005837531,0.02760664,0.01674628,0.1270733,0.07108411,0.003588735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916703,0.00007720502,0.001526271,0.004143742,0.00004609154,0.0003119769,0.0009707512,0.00001574228,0.001237897],"genre_scores_gemma":[0.9988596,0.000004712111,0.00006844091,0.00001993419,0.0001373669,0.000003401439,0.0004944068,0.000005656478,0.0004064932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618363,"threshold_uncertainty_score":0.4149651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842425354144498,"score_gpt":0.2362940720428887,"score_spread":0.2178698185014438,"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."}}