{"id":"W4291284042","doi":"10.1007/s00134-022-06808-9","title":"How can assessing hemodynamics help to assess volume status?","year":2022,"lang":"en","type":"review","venue":"Intensive Care Medicine","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":205,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Medicine; Intravascular volume status; Preload; Hypovolemia; Pulmonary artery catheter; Central venous pressure; Cardiac output; Hemodynamics; Resuscitation; Hypervolemia; Pulmonary artery; Cardiology; Anesthesia; Pulmonary edema; Intensive care medicine; Blood volume; Lung; Internal medicine; Blood pressure; Heart rate","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":[0.001920405,0.001528907,0.005056217,0.003495801,0.0003613842,0.002141705,0.001102076,0.002174678,0.004658313],"category_scores_gemma":[0.007149034,0.0005910776,0.001849988,0.002503432,0.0009431478,0.002690689,0.0009913142,0.003484772,0.00163741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101592,"about_ca_system_score_gemma":0.002443121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590164,"about_ca_topic_score_gemma":0.006009819,"domain_scores_codex":[0.9992459,0.0002063027,0.0002064873,0.0001197511,0.000184624,0.00003700338],"domain_scores_gemma":[0.9966359,0.00223629,0.0004794077,0.00005273522,0.0005087649,0.00008699412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001730372,0.0000651138,0.0004758361,0.07592196,0.0009968476,0.00009039243,0.00005693416,0.0002105962,0.000300353,0.001894479,0.03487188,0.8849426],"study_design_scores_gemma":[0.0004449672,0.0003762469,0.005157789,0.1550737,0.007064089,0.001488124,0.000258515,0.0004394738,0.000532187,0.005747965,0.8232882,0.0001287346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002888878,0.9989457,0.00006088823,0.0004852456,0.0002245129,0.000004315759,0.00001791328,0.000003117767,0.0002295519],"genre_scores_gemma":[0.0005790495,0.9978351,0.0002218509,0.0007334577,0.0004591604,0.00001273717,0.00002240467,0.000001595684,0.0001346619],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005056217,"threshold_uncertainty_score":0.01558363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0994166749799146,"score_gpt":0.3946889622078388,"score_spread":0.2952722872279242,"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."}}