{"id":"W4412389382","doi":"10.1111/dom.16605","title":"Differential effects of a multidomain intervention on cognitive decline in older adults with type 2 diabetes according to white matter hyperintensity status: A secondary analysis of the J‐ <scp>MIND</scp> ‐Diabetes","year":2025,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; National Center for Geriatrics and Gerontology; Japan Agency for Medical Research and Development","keywords":"Medicine; Type 2 diabetes; Dementia; Randomized controlled trial; Cognitive decline; Physical therapy; Neuropsychology; Diabetes mellitus; Cognition; Hyperintensity; Gerontology; Internal medicine; Psychiatry; Disease; Magnetic resonance imaging","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":[0.002337446,0.0009922392,0.002391783,0.0007471467,0.000508621,0.0007235094,0.0004791456,0.001047816,0.00238658],"category_scores_gemma":[0.003243576,0.0003562117,0.004986758,0.0006041609,0.000359901,0.0003533247,0.0007530532,0.001092375,0.0001808481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006301948,"about_ca_system_score_gemma":0.001187971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202158,"about_ca_topic_score_gemma":0.006391911,"domain_scores_codex":[0.9982743,0.0008966158,0.0002015389,0.000239442,0.0001530654,0.0002349418],"domain_scores_gemma":[0.9981377,0.000624033,0.0005060383,0.0001744504,0.0002545006,0.0003032128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8538076,0.033621,0.06035259,0.002254728,0.01732361,0.0001048868,0.0002727373,0.0006308329,0.002515848,0.00008024328,0.0007871417,0.02824879],"study_design_scores_gemma":[0.2568112,0.2423944,0.4720381,0.0002580143,0.02252746,0.00007963701,0.0001980131,0.001723874,0.002592351,0.0002035838,0.001112183,0.00006120778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977372,0.0006187375,0.0001460257,0.00005427732,0.00006234342,0.000636127,0.0004402339,0.0000112498,0.0002939333],"genre_scores_gemma":[0.996031,0.0003739972,0.0004989831,0.0001629733,0.0001088573,0.001541675,0.0006960512,0.000004356383,0.0005820097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004202158,"threshold_uncertainty_score":0.01236171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003608446829115093,"score_gpt":0.2462448572172748,"score_spread":0.2426364103881598,"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."}}