Additional file 2 of Predictive ability of hypotension prediction index and machine learning methods in intraoperative hypotension: a systematic review and meta-analysis
Creators: name: Mohammadi, Ida
name: Firouzabadi, Shahryar Rajai
name: Hosseinpour, Melika
name: Akhlaghpasand, Mohammadhosein
name: Hajikarimloo, Bardia
name: Tavanaei, Roozbeh
name: Izadi, Amirreza
name: Zeraatian-Nejad, Sam
name: Eghbali, Foolad
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Science Policy

description: Additional file 2: Figure S1: Sensitivity analysis for the meta-analysis of the duration of intraoperative hypotension between hypotension prediction index-guided participants and participants receiving standard in-house protocols. Figure S2: Funnel plot for assessing the publication bias of our meta-analysis of the duration of intraoperative hypotension between hypotension prediction index-guided participants and participants receiving standard in-house protocols. The plot is asymmetric. Figure S3: Sensitivity analysis for the meta-analysis of the time-weighted average of hypotension (MAP &lt; 65 mmHg) between hypotension prediction index-guided participants and participants receiving standard in-house protocols. Figure S4: Funnel plot for assessing the publication bias of our meta-analysis of the time-weighted average of hypotension (MAP &lt; 65 mmHg) between hypotension prediction index-guided participants and participants receiving standard in-house protocols. The plot is asymmetric. Figure S5: Sensitivity analysis for the meta-analysis of the area under the threshold for hypotension (MAP &lt; 65 mmHg) between hypotension prediction index-guided participants and participants receiving standard in-house protocols. Figure S6: Funnel plot for assessing the publication bias of our meta-analysis of the area under the receiver operating curve for non-hypotension prediction index artificial intelligence models for the prediction of intraoperative hypotension. The plot is asymmetric. Figure S7: Sub-group analysis of the AUROC meta-analysis for non-HPI studies based on the cut-off used to define hypotension. Figure S8: Sub-group analysis of the AUROC meta-analysis for HPI studies 5 minutes prior to intraoperative hypotension based on study quality and risk of bias. Figure S9: Sub-group analysis of the AUROC meta-analysis for HPI studies 10 minutes prior to intraoperative hypotension based on study quality and risk of bias. Figure S10: Sub-group analysis of the AUROC meta-analysis for HPI studies 15 minutes prior to intraoperative hypotension based on study quality and risk of bias. Figure S11: Sub-group analysis of the AUT-MAP &lt; 65 meta-analysis for HPI studies based on study quality and risk of bias. Figure S12: Sub-group analysis of the duration of intraoperative hypotension meta-analysis for HPI studies based on study quality and risk of bias. Figure S13: Sub-group analysis of the TWA-MAP &lt; 65 meta-analysis for HPI studies based on study quality and risk of bias. Figure S14: Sub-group analysis of the AUROC meta-analysis for non-HPI studies based on study quality and risk of bias.