{"id":"W3144795195","doi":"10.1136/heartjnl-2021-319243","title":"Predictive models for cardiovascular and kidney outcomes in patients with type 2 diabetes: systematic review and meta-analyses","year":2021,"lang":"en","type":"review","venue":"Heart","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University; University of Toronto; University Health Network; Toronto General Hospital; Impact; Ted Rogers Centre for Heart Research","funders":"","keywords":"Medicine; Observational study; Kidney disease; Meta-analysis; Type 2 diabetes; Internal medicine; Stroke (engine); Guideline; Intensive care medicine; Risk assessment; Diabetes mellitus; Randomized controlled trial; Myocardial infarction; Endocrinology; 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":[0.03219076,0.003984414,0.02044217,0.009041155,0.0005761585,0.004007618,0.003504902,0.00255438,0.004116654],"category_scores_gemma":[0.08794665,0.001894654,0.05199252,0.008297843,0.000877513,0.002603126,0.002098358,0.002682904,0.0004466014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002857562,"about_ca_system_score_gemma":0.004323087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008571255,"about_ca_topic_score_gemma":0.01271436,"domain_scores_codex":[0.9783056,0.01290831,0.004752344,0.00176697,0.0019164,0.0003503512],"domain_scores_gemma":[0.9297006,0.05769406,0.007940701,0.001755814,0.002558267,0.000350704],"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":[0.001032396,0.0000288655,0.003614542,0.3086831,0.6724802,0.00006031258,0.00006640758,0.001112245,0.00005713222,0.0001878101,0.0006037119,0.0120734],"study_design_scores_gemma":[0.0004641477,0.0001262015,0.002290014,0.03734858,0.9573168,0.00006261899,0.00003270464,0.0005471034,0.00006241913,0.0004050017,0.001313805,0.0000306544],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002755003,0.9940183,0.001373932,0.0003331311,0.0001557076,0.0003621432,0.0007418992,0.00005017599,0.0002096286],"genre_scores_gemma":[0.1567972,0.8323612,0.005544329,0.001128175,0.0004559255,0.001840995,0.001512251,0.00007027227,0.0002897044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03219076,"threshold_uncertainty_score":0.170243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094367980984575,"score_gpt":0.3523260843854083,"score_spread":0.2428892862869508,"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."}}