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Updated: Jul 17, 2026

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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Knowledge structure and thematic evolution of host response-oriented sepsis research: a multi-database bibliometric
Congcong Qin1, Weiwei Wang2,3, Qinyuan Du2,3
1Institute of Chinese Medical Literature and Culture, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Frontiers in Immunology
|July 16, 2026
Summary
Sepsis research on host response has evolved, shifting from inflammation focus to molecular characterization and precision medicine. Future directions include transcriptomics and biomarkers for improved patient outcomes.
Area of Science:
- * Bibliometrics and scientometrics
- * Translational medicine and critical care
- * Immunology and infectious diseases
Background:
- * Host response research in sepsis is a critical area of study.
- * Understanding immune phenotypes and endotypes is key to effective sepsis management.
- * Multimarker stratification aids in classifying sepsis patients.
Purpose of the Study:
- * To map the knowledge structure of host response sepsis research.
- * To identify major thematic domains and their temporal evolution.
- * To summarize research patterns and shifts over time.
Main Methods:
- * Bibliometric analysis of 2,974 unique publications from 2000-2025.
- * Latent Dirichlet allocation topic modeling to identify eight thematic domains.
- * Analysis of annual publication trends and topic distributions.
Main Results:
- * Publication output surged after 2016, with international collaboration.
- * Eight key thematic domains identified, including inflammation, clinical management, and organ dysfunction.
- * Research shows a shift towards molecular characterization, precision medicine, and biomarkers.
Conclusions:
- * Sepsis research is organized around distinct, interconnected thematic domains.
- * A notable shift from inflammation-centered studies to molecular and precision approaches is evident.
- * Future research should prioritize transcriptomics, biomarkers, and prognostic stratification.
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