{"id":"W3036835820","doi":"10.1016/j.clon.2020.05.015","title":"Optimising Medications for Patients With Cancer and Multimorbidity: The Case for Deprescribing","year":2020,"lang":"en","type":"article","venue":"Clinical Oncology","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"Pharmacy Research UK; National Breast Cancer Foundation; Cancer Prevention and Research Institute of Texas; Canadian Institutes of Health Research; Mitacs; Blue Cross Blue Shield of Michigan Foundation","keywords":"Polypharmacy; Medicine; Deprescribing; Intensive care medicine; Multimorbidity; Cancer; Drug; Adverse effect; Beers Criteria; Health care; Chronic condition; Internal medicine; Psychiatry; Chronic disease; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.01740542,0.00032003,0.001073273,0.0006580994,0.002735134,0.006516795,0.001274905,0.004322916,0.004487],"category_scores_gemma":[0.07437325,0.000362816,0.001188646,0.001113176,0.002184085,0.006352196,0.004201147,0.009799743,0.0005992588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00337775,"about_ca_system_score_gemma":0.01389718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005551933,"about_ca_topic_score_gemma":0.02099555,"domain_scores_codex":[0.9881733,0.00625376,0.001145658,0.0005588116,0.002873716,0.0009948417],"domain_scores_gemma":[0.9503547,0.02321497,0.01005256,0.002829419,0.004607863,0.008940488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004872273,0.001407751,0.1893899,0.0015562,0.0005808441,0.001137217,0.006095842,0.001097508,0.0006431983,0.02397082,0.07642724,0.6972062],"study_design_scores_gemma":[0.0003956074,0.002283556,0.3942898,0.01963315,0.001198799,0.00807775,0.02455247,0.00449758,0.001622272,0.1672174,0.3757808,0.000450829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0850209,0.02979194,0.002697552,0.8545263,0.001594562,0.00007442322,0.0001536621,0.00006434684,0.02607635],"genre_scores_gemma":[0.8284128,0.03819374,0.0241967,0.1004436,0.00479697,0.0001950175,0.0002216752,0.00009836921,0.003441052],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01740542,"threshold_uncertainty_score":0.09204978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4817498233976536,"score_gpt":0.5589120849746687,"score_spread":0.07716226157701511,"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."}}