Medical thinking and reasoning: Physician gestalt accuracy for diagnostic and decision making
DISEASE	INTERVENTION	COMPARISON	RESULTS
PLoS One. 2016 Sep 27;11(9):e0162772. doi: 10.1371/journal.pone.0162772		Diagnostic
IN critically ill, emergency patients, medical thinking, decision making, cognition, physican,s feeling or gestalt	The Use of physician gestalt As Diagnostic Tool	Is equal Than ultrasound measurements of the inferior cava vein and caval index	To estimate volume depletion severity and predict a positive response to IV fluids: sensitivity 68% specificity 86% AUC 0.83 physician VS sensitivity 88% specificity 73% AUC 0.85
Ann Emerg Med. 2024 Mar 25:S0196-0644(24)00099-4. doi: 10.1016/j.annemergmed.2024.02.009		Diagnostic
IN medical thinking, decision making, cognition, physican,s feeling or gestalt, sepsis, critically ill, emergency patients	The Use of early physician gestalt (first 15 minutes) As Diagnostic Tool	Is better Than several score (SIRS, SOFA, qSOFA, MEWS) and a logistic regression machine learning model using LASSO for variable selection	To accurately diagnose sepsis in critically ill adult patients: AUC 0.90 VS AUC 0.66 - 0.84
Thromb Res. 2018 Jul;167:37-43. doi: 10.1016/j.thromres.2018.05.008		Randomized Controlled Trial
IN thromboembolic disease, pulmonary embolism, medical thinking, decision making, cognition, physican,s feeling or gestalt,	The Use of physician gestalt As Prognostic Item	Is worse Than Hestia criteria (HC) score, but better than Pulmonary Embolism Severity Index (PESI) and simplified PESI (sPESI)	To identify patients with pulmonary embolism that can be discharged early and safely from hospital: 33% physician VS 42% Hestia VS 18-24% PESI. Severe adverse events at 1 month after discharge: 2.6 - 2.8%