{"id":"W1836743027","doi":"10.1016/j.cjca.2015.09.011","title":"Predictive Value of Neutrophil Gelatinase-Associated Lipocalin for Contrast-Induced Acute Kidney Injury After Cardiac Catheterization: A Meta-analysis","year":2015,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Medicine; Acute kidney injury; Internal medicine; Lipocalin; Odds ratio; Creatinine; Percutaneous coronary intervention; Contrast-induced nephropathy; Cardiology; Biomarker; Neutrophil gelatinase-associated lipocalin; Meta-analysis; Cochrane Library; Urology; Gastroenterology; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.002731918,0.0007004891,0.01316959,0.002308298,0.00008924481,0.00003288668,0.0005583697,0.001252113,0.0001179069],"category_scores_gemma":[0.002599139,0.0005246875,0.01049938,0.001413723,0.0003592734,0.0001155611,0.00005308717,0.001280137,0.000008282164],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308381,"about_ca_system_score_gemma":0.02205399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003768295,"about_ca_topic_score_gemma":0.00003071733,"domain_scores_codex":[0.9937152,0.002015044,0.002192066,0.0005419907,0.0006482686,0.000887417],"domain_scores_gemma":[0.9904107,0.0003911889,0.001869391,0.0008075053,0.003317454,0.00320375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006328456,0.00001955044,0.0003687217,0.001501466,0.8931614,0.0006058578,0.0001804344,0.00001290296,0.00002127436,0.0000359639,0.09394915,0.009510421],"study_design_scores_gemma":[0.0005519481,0.001628163,0.00006968226,0.0002760748,0.477244,0.0001448046,0.00001227831,0.00001171364,0.000006370228,0.00002851439,0.5197902,0.0002361914],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001535917,0.9189912,0.001198253,0.0009916022,0.001188662,0.002991226,0.07370166,0.00001515817,0.0007686401],"genre_scores_gemma":[0.02566281,0.96043,0.0006286237,0.0008560221,0.003886088,0.001209283,0.006057214,0.0003764842,0.0008935247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4258411,"threshold_uncertainty_score":0.9997205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286070358454855,"score_gpt":0.3730366090370208,"score_spread":0.2801759054524723,"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."}}