{"id":"W4408636582","doi":"10.3389/fphar.2025.1555838","title":"The real-world analysis of adverse events with azacitidine: a pharmacovigilance study based on the FAERS and WHO-VigiAccess databases","year":2025,"lang":"en","type":"article","venue":"Frontiers in Pharmacology","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Adverse Event Reporting System; Azacitidine; Pharmacovigilance; Medicine; Adverse effect; MedDRA; Internal medicine; Odds ratio; Oncology; Database; DNA methylation; Biology","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":[0.01043339,0.0005294732,0.001319276,0.004559777,0.0003334049,0.001722479,0.000950783,0.0008767491,0.001447937],"category_scores_gemma":[0.02742884,0.0003098864,0.002775204,0.007032237,0.0003574977,0.001012875,0.001266798,0.0007582147,0.00027414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366555,"about_ca_system_score_gemma":0.001880139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008120924,"about_ca_topic_score_gemma":0.005163457,"domain_scores_codex":[0.9850867,0.004930492,0.004377619,0.002613666,0.002625616,0.0003659597],"domain_scores_gemma":[0.959906,0.01371109,0.01978347,0.003034696,0.002886074,0.0006787023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00259999,0.0001871905,0.9753597,0.001252191,0.003012369,0.0004332464,0.0003138468,0.001125904,0.0004719462,0.0002462839,0.001989798,0.0130075],"study_design_scores_gemma":[0.0004088542,0.0003979524,0.9842964,0.0002866674,0.002744355,0.001097603,0.0003523173,0.006022425,0.0007005934,0.0002225422,0.003410737,0.00005949381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464683,0.006078022,0.002397947,0.0004345855,0.00002404241,0.0005596555,0.04259822,0.0001168187,0.001322411],"genre_scores_gemma":[0.9497627,0.001526646,0.003049893,0.0002530368,0.00004899815,0.0004846302,0.04471754,0.00002617153,0.000130412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043339,"threshold_uncertainty_score":0.05517769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05802066954977816,"score_gpt":0.4406272190561785,"score_spread":0.3826065495064004,"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."}}