{"id":"W2072362299","doi":"10.1016/j.physio.2006.06.003","title":"An under-used yet easily understood statistic: the number needed to treat (NNT)","year":2006,"lang":"en","type":"article","venue":"Physiotherapy","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia; University of Sydney","keywords":"Number needed to treat; Statistic; Medicine; Number needed to harm; Confidence interval; Harm; Psychological intervention; Statistics; Physical therapy; Computer science; Relative risk; Mathematics; Psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2830094,0.004170231,0.02101114,0.01092722,0.001505847,0.006332791,0.006098232,0.01102391,0.004016187],"category_scores_gemma":[0.5984812,0.001628066,0.01516364,0.008197616,0.01043088,0.01048973,0.004553456,0.01205487,0.0008265683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343617,"about_ca_system_score_gemma":0.003551996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226329,"about_ca_topic_score_gemma":0.00135302,"domain_scores_codex":[0.458538,0.442133,0.0526028,0.0191899,0.02661048,0.0009257731],"domain_scores_gemma":[0.2390479,0.725316,0.01478347,0.01418547,0.005735243,0.0009318127],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009450207,0.000342189,0.02551151,0.1200914,0.2320686,0.0009860359,0.001182777,0.00832506,0.001117073,0.0888925,0.05600719,0.4560255],"study_design_scores_gemma":[0.007942123,0.007804647,0.01806619,0.02745688,0.1783836,0.006214908,0.001606647,0.04112332,0.003522893,0.6526577,0.05358714,0.001633911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01185716,0.3084602,0.603271,0.03685867,0.02664163,0.002318263,0.00525423,0.001548186,0.003790805],"genre_scores_gemma":[0.4077971,0.05714592,0.4437237,0.05011038,0.02143562,0.01332684,0.002412088,0.000936752,0.00311162],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7169906,"threshold_uncertainty_score":0.8841771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5745742624313719,"score_gpt":0.5594687551795474,"score_spread":0.01510550725182447,"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."}}