A PREDICTION MODEL FOR SEPSIS IN INFECTED PATIENTS: EARLY ASSESSMENT OF SEPSIS ENGAGEMENT.

Authors:
Guo S; Guo Z; Ren Q; Wang X; Wang Z and 6 more

Journal:
Shock

Publication Year: 2023

DOI:
10.1097/SHK.0000000000002170

PMCID:
PMC10476592

PMID:
37477387

View on PubMed View on PMC View Publisher
Journal Information

Full Title: Shock

Abbreviation: Shock

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Vascular Diseases

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"The authors report no conflict of interests."

Evidence found in paper:

"This work was supported by Tsinghua University Education Foundation, Spesis Prevention Program (funding number: 202002). This article's ideas, results, and conclusions are independent of the funding source."

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Last Updated: Aug 05, 2025