{"id":"W2116298731","doi":"10.1016/j.jval.2014.08.864","title":"Assessing the Comparative Outcomes from Teriflunomide and Dimethyl Fumarate Studies in Relapsing Ms: Use of “Number Needed to Treat” Analysis","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Teriflunomide; Medicine; Number needed to treat; Dimethyl fumarate; Number needed to harm; Hazard ratio; Placebo; Confidence interval; Clinical endpoint; Absolute risk reduction; Relative risk; Multiple sclerosis; Internal medicine; Clinical trial; Fingolimod; Psychiatry; Alternative medicine","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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2844302,0.003802021,0.01783094,0.008718614,0.001365994,0.004538516,0.003780642,0.004825816,0.005078162],"category_scores_gemma":[0.3169759,0.001246614,0.03581097,0.00685817,0.003361107,0.007461162,0.006264586,0.005652426,0.0002927808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986317,"about_ca_system_score_gemma":0.001625697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008015652,"about_ca_topic_score_gemma":0.001255781,"domain_scores_codex":[0.4089181,0.528651,0.03396892,0.009879665,0.01649526,0.002087034],"domain_scores_gemma":[0.4625397,0.4913767,0.02054042,0.01788678,0.006071164,0.001585252],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.1352301,0.0007762432,0.09570368,0.0278739,0.6324475,0.0006824078,0.001268417,0.005775494,0.002607843,0.006679881,0.002648511,0.08830606],"study_design_scores_gemma":[0.0633894,0.05420542,0.1698931,0.00602161,0.5669956,0.001723977,0.002598916,0.04063768,0.01090253,0.05828383,0.02429048,0.001057394],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5145532,0.1715272,0.248107,0.005460504,0.008695719,0.01722303,0.01469107,0.0008067744,0.01893542],"genre_scores_gemma":[0.9366257,0.003597675,0.04563558,0.001304207,0.0007756876,0.009009184,0.001770008,0.0001700974,0.001111901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.996198,"threshold_uncertainty_score":0.882425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4437821032719421,"score_gpt":0.5073067453736835,"score_spread":0.06352464210174136,"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."}}