Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.
Journal Information
Full Title: BMC Anesthesiol
Abbreviation: BMC Anesthesiol
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Anesthesiology
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Declarations Ethics approval and consent to participateThis human study was approved by the Ethics Committee of the Research Institute of Surgery (2021–179) and was registered by the Chinese Clinical Trial Registry (Date: 09/12/2021, ChiCTR2200055772). All the participants provided written informed consent before inclusion in this study. All experimental procedures were approved by the Animal Ethics Committee of Army Medical University, China, and were performed in accordance with the National Institutes of Health “Guidelines for the Care and Use of Laboratory Animals”. The study was carried out in compliance with the ARRIVE guidelines. All methods are reported in accordance with ARRIVE guidelines (https://arriveguidelines.org) for the reporting of animal experiments. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."
"Funding This study was funded by the Natural Science Foundation of Chongqing (No. CSTB2023NSCQ-MSX0713), and National Natural Science Foundation of China (No. 82300561, No. 82270523, and No.81830065)."
"Trial registration This human study was approved by the Ethics Committee of the Research Institute of Surgery (2021–179) and was registered by the Chinese Clinical Trial Registry (Date: 09/12/2021, ChiCTR2200055772)."
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Last Updated: Aug 05, 2025