{"id":"W4294275394","doi":"10.1136/svn-2022-001816","title":"Cilostazol and isosorbide mononitrate for the prevention of progression of cerebral small vessel disease: baseline data and statistical analysis plan for the Lacunar Intervention Trial-2 (LACI-2) (ISRCTN14911850)","year":2022,"lang":"en","type":"article","venue":"Stroke and Vascular Neurology","topic":"Neurological Disorders and Treatments","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Horizon 2020 Framework Programme; British Heart Foundation; Alzheimer’s Society; Fondation Leducq; National Institute for Health and Care Research; Alzheimer's Society","keywords":"Medicine; Lacunar stroke; Tolerability; Cilostazol; Montreal Cognitive Assessment; Internal medicine; Stroke (engine); Modified Rankin Scale; Clinical endpoint; Randomized controlled trial; Dementia; Physical therapy; Adverse effect; Aspirin; Disease; Ischemia; Ischemic stroke","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":[0.05908417,0.002411961,0.00511897,0.001590285,0.0008536685,0.002581966,0.001907212,0.00274058,0.02576814],"category_scores_gemma":[0.04991905,0.001310244,0.005884964,0.002841223,0.001126393,0.001717088,0.001603685,0.004446779,0.00606977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972786,"about_ca_system_score_gemma":0.007680434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604269,"about_ca_topic_score_gemma":0.001994201,"domain_scores_codex":[0.9492292,0.04022255,0.003082183,0.001797245,0.004049206,0.001619598],"domain_scores_gemma":[0.9843926,0.004298537,0.004075738,0.002171823,0.003385089,0.001676217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.8575541,0.002761272,0.007556874,0.006173328,0.004801422,0.0001626737,0.0002218352,0.002447889,0.001451909,0.003280392,0.04636502,0.06722319],"study_design_scores_gemma":[0.8337057,0.04346959,0.03695854,0.00245511,0.008055368,0.0002283784,0.0001438254,0.00753433,0.001769501,0.006646043,0.05882256,0.000211119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.05703118,0.006464437,0.05540488,0.004752818,0.001567664,0.7572007,0.09942353,0.001477177,0.01667762],"genre_scores_gemma":[0.05517232,0.001203963,0.05412351,0.001303343,0.0003478133,0.8565287,0.02675828,0.0002085512,0.004353629],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05908417,"threshold_uncertainty_score":0.3124707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0719189831435068,"score_gpt":0.3302961180709414,"score_spread":0.2583771349274346,"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."}}