{"id":"W4391155287","doi":"10.1016/s2213-8587(23)00344-3","title":"Association of glycaemic index and glycaemic load with type 2 diabetes, cardiovascular disease, cancer, and all-cause mortality: a meta-analysis of mega cohorts of more than 100 000 participants","year":2024,"lang":"en","type":"review","venue":"The Lancet Diabetes & Endocrinology","topic":"Food composition and properties","field":"Nursing","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Public Health Ontario; University of Toronto; Hamilton Health Sciences; McMaster University; University of Saskatchewan; Population Health Research Institute; St. Michael's Hospital","funders":"Temerty Faculty of Medicine, University of Toronto; Obesity Canada; Novo Nordisk; University of Toronto; International Sweeteners Association; Alberta Pulse Growers Commission; Canadian Nutrition Society; Danone; Diabetes Canada; Canadian Cardiovascular Society; Centre International de Recherche sur le Cancer; Loblaw Companies Limited; Canola Council of Canada; United Soybean Board; Soy Nutrition Institute; Dairy Farmers of Canada; McMaster University; National Honey Board; International Nut and Dried Fruit Council; Almond Board of California; Harvard University; General Mills; AstraZeneca; Eli Lilly and Company; Canadian Institutes of Health Research; PepsiCo; Kowa Company; Guangdong Provincial Hospital of Traditional Chinese Medicine; World Health Organization; Sanofi","keywords":"Medicine; Meta-analysis; Type 2 diabetes; Disease; Internal medicine; Diabetes mellitus; Mega-; Cohort study; Oncology; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.005317249,0.002213825,0.01014118,0.001455713,0.000404293,0.001817614,0.001601278,0.001867965,0.002463438],"category_scores_gemma":[0.009697837,0.001359356,0.02788044,0.002550686,0.0003962612,0.0008793883,0.001442031,0.002176276,0.000375292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552158,"about_ca_system_score_gemma":0.00158633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009376711,"about_ca_topic_score_gemma":0.01918002,"domain_scores_codex":[0.9974353,0.001232304,0.0005056349,0.0004408863,0.0002313698,0.0001545423],"domain_scores_gemma":[0.9959359,0.00285625,0.0005120054,0.0002823284,0.000294131,0.0001193284],"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":[0.005194794,0.00004401904,0.009597667,0.07948682,0.8830688,0.0001157645,0.00008024574,0.0004469337,0.0004144666,0.0001164281,0.001129387,0.02030461],"study_design_scores_gemma":[0.0008660067,0.0002371888,0.009749091,0.0034546,0.983177,0.00007178068,0.00003911602,0.0001206394,0.00008872146,0.0001857839,0.001981727,0.0000282234],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01296286,0.9851874,0.0006377271,0.00020072,0.0002399153,0.00005625405,0.0004915476,0.00003922741,0.0001844853],"genre_scores_gemma":[0.2928782,0.7002853,0.002895163,0.001383719,0.0003788429,0.000215675,0.0011986,0.0000601914,0.0007042678],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9898588,"threshold_uncertainty_score":0.0281207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428803881139379,"score_gpt":0.3577246968681067,"score_spread":0.2148443087541689,"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."}}