{"id":"W2789940321","doi":"10.1007/s10072-018-3254-0","title":"Diagnostic test accuracy of the Montreal Cognitive Assessment in the detection of post-stroke cognitive impairment under different stages and cutoffs: a systematic review and meta-analysis","year":2018,"lang":"en","type":"review","venue":"Neurological Sciences","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Neuropsychology; Medicine; Cognition; Meta-analysis; Stroke (engine); Cutoff; Cognitive impairment; Neuropsychological assessment; Youden's J statistic; CINAHL; Receiver operating characteristic; Internal medicine; Psychiatry; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01075123,0.003061197,0.01912604,0.004290281,0.0006984986,0.003304911,0.002352531,0.002833156,0.001880268],"category_scores_gemma":[0.03303616,0.001778215,0.03608716,0.004956485,0.0009649397,0.002045564,0.001627737,0.002292778,0.0002354389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045103,"about_ca_system_score_gemma":0.002520075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009780154,"about_ca_topic_score_gemma":0.02301751,"domain_scores_codex":[0.9926729,0.002385068,0.002731876,0.001133019,0.0008421282,0.0002350599],"domain_scores_gemma":[0.9823746,0.01363481,0.002226295,0.0005619108,0.001062917,0.0001394125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004540784,0.00006553221,0.01076466,0.2252648,0.7383969,0.0001047292,0.0001552122,0.0004798163,0.0003196822,0.0001013632,0.0004596983,0.01934682],"study_design_scores_gemma":[0.0005913974,0.0001873547,0.005476022,0.007584122,0.9851043,0.00008289729,0.00004787233,0.0001389729,0.00009167174,0.0000951859,0.0005700038,0.00003017992],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008755309,0.9902969,0.0003257958,0.00006335028,0.0001098421,0.0001059615,0.0002058505,0.00001340638,0.0001235262],"genre_scores_gemma":[0.2557188,0.7389928,0.002379741,0.0009352488,0.0003594955,0.0004475769,0.0008220403,0.00003451138,0.000309878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01912604,"threshold_uncertainty_score":0.05685866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08459246397358455,"score_gpt":0.4034780968840709,"score_spread":0.3188856329104864,"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."}}