{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01086235,0.002302008,0.01071605,0.001817292,0.0003901975,0.002428544,0.001294647,0.00166736,0.003830305],"category_scores_gemma":[0.02046876,0.0008616077,0.03344728,0.00261602,0.0004769046,0.0009921796,0.0008926237,0.002115058,0.0002684665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166439,"about_ca_system_score_gemma":0.000868463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005053022,"about_ca_topic_score_gemma":0.006778709,"domain_scores_codex":[0.9926423,0.004775076,0.0009739029,0.0008609888,0.0005385046,0.0002092488],"domain_scores_gemma":[0.9873435,0.009506211,0.001519368,0.0008033643,0.0005974558,0.0002300608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02443174,0.00005518611,0.009475445,0.02674127,0.9295928,0.0001074001,0.0000382976,0.001386369,0.0002160263,0.0001267571,0.001127595,0.006701054],"study_design_scores_gemma":[0.005127684,0.000402227,0.007915094,0.001325034,0.9834219,0.00007481036,0.00001832827,0.0005789433,0.00009706972,0.0003012586,0.0007130476,0.00002461193],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1102004,0.8805628,0.00221114,0.0008002046,0.0006873789,0.0003476438,0.003477877,0.0001340961,0.001578363],"genre_scores_gemma":[0.8758996,0.1155076,0.002140789,0.001316142,0.0005982558,0.0006278409,0.003059899,0.0000617586,0.0007881034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01086235,"threshold_uncertainty_score":0.0574463,"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."}}