{"id":"W2743826033","doi":"10.1097/ccm.0000000000002654","title":"Quantifying the Effects of Prior Acetyl-Salicylic Acid on Sepsis-Related Deaths: An Individual Patient Data Meta-Analysis Using Propensity Matching*","year":2017,"lang":"en","type":"review","venue":"Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institutes of Health; Queen's University; National Heart, Lung, and Blood Institute; Public Health Agency; National Institute for Health and Care Research","keywords":"Propensity score matching; Medicine; Aspirin; Sepsis; Meta-analysis; Observational study; Internal medicine; Cohort study","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012749,0.0009867351,0.008584369,0.0005258559,0.0005071062,0.00008629099,0.001213786,0.0005185307,0.0002390967],"category_scores_gemma":[0.005958237,0.000461961,0.002076507,0.0006674586,0.0008061047,0.0001550369,0.0006873393,0.001068006,0.00001892622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202405,"about_ca_system_score_gemma":0.0003902564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616005,"about_ca_topic_score_gemma":0.00007556312,"domain_scores_codex":[0.9934492,0.001208156,0.001613665,0.001464871,0.001659597,0.0006045446],"domain_scores_gemma":[0.9902585,0.002949651,0.0007925207,0.004993615,0.0004986124,0.0005071427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00007154374,0.001803178,0.0003427111,0.06029052,0.2738126,0.001378096,0.003852239,0.000001949984,0.00001160104,0.0007368721,0.0004206415,0.6572781],"study_design_scores_gemma":[0.0009027655,0.002552291,0.0003386572,0.01146402,0.9552135,0.0001178773,0.0006648594,0.00001979983,0.00004965274,0.00002053153,0.02821702,0.0004389488],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003384485,0.9915945,0.00002221676,0.0009039943,0.0004383854,0.003023277,0.0004352765,0.00006047385,0.0001373825],"genre_scores_gemma":[0.2454286,0.7480997,0.0006571832,0.0009639304,0.0003688762,0.000301714,0.003993957,0.0001710473,0.00001502286],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.681401,"threshold_uncertainty_score":0.9997832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6749116383452008,"score_gpt":0.5333705367640768,"score_spread":0.1415411015811241,"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."}}