{"id":"W4411020975","doi":"10.2337/dc25-0154","title":"Risk of Thyroid Tumors With GLP-1 Receptor Agonists: A Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Novo Nordisk; Innovation and Technology Commission; European Commission; U.S. National Library of Medicine; U.S. Department of Veterans Affairs; Alnylam Pharmaceuticals; National Institutes of Health; Parexel; Janssen Pharmaceuticals; Yale University; Celgene; AstraZeneca; Bristol-Myers Squibb","keywords":"Medicine; Hazard ratio; Propensity score matching; Internal medicine; Glucagon-like peptide 1 receptor; Retrospective cohort study; Liraglutide; Thyroid cancer; Dipeptidyl peptidase-4; Proportional hazards model; Type 2 diabetes; Cohort; Cohort study; Confounding; Oncology; Thyroid; Diabetes mellitus; Endocrinology; Confidence interval; Agonist; Receptor","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":[0.001511272,0.0003076081,0.0004326012,0.0008445929,0.0004463335,0.0007615533,0.0004870387,0.0004760576,0.001017426],"category_scores_gemma":[0.003201649,0.0005345418,0.001120368,0.001776455,0.0002244746,0.0005114921,0.0004036589,0.0005555911,0.0002435092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124004,"about_ca_system_score_gemma":0.0005882157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033874,"about_ca_topic_score_gemma":0.008396775,"domain_scores_codex":[0.9988589,0.0002332991,0.0001689217,0.0004171709,0.0002093515,0.0001123343],"domain_scores_gemma":[0.9974861,0.0002982891,0.001184211,0.0004654512,0.0003476581,0.0002182515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002049916,0.00002100592,0.9984713,0.00001614894,0.0003474202,0.00005897342,0.00002734874,0.00003580267,0.0001363133,0.0000188782,0.0001091942,0.0005526803],"study_design_scores_gemma":[0.00006949095,0.0002210017,0.9971833,0.00002296509,0.000508375,0.0006770903,0.0001282109,0.0004113253,0.00009549623,0.00004466109,0.0006257396,0.00001227901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955565,0.001017141,0.0004059323,0.0000552173,0.00001773474,0.00003342643,0.002551426,0.000008595062,0.0003540341],"genre_scores_gemma":[0.9979461,0.0004088048,0.0002548366,0.00005526364,0.00001871812,0.00002816946,0.001147092,0.000004077768,0.0001370372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033874,"threshold_uncertainty_score":0.02055717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003358524016333349,"score_gpt":0.2244294615698227,"score_spread":0.2210709375534894,"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."}}