ArticleFrontiers in neurology2025
Biomarkers of sepsis associated encephalopathy: a bibliometric and visualized analysis.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- New trends and hotspots in Sepsis-associated encephalopathy research: a bibliometric and visualization analysis.Frontiers in aging neuroscience · 2026Pooled it
- Metabolic reprogramming in sepsis-associated encephalopathy: emerging mechanisms, candidate biomarkers, and future therapeutic directions.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study employs bibliometric analysis to investigate the current states and emerging trends in the field of sepsis associated encephalopathy biomarkers. It conducts a comparative analysis of the research contributions from different countries, institutions, journals and authors, thereby providing a valuable reference for future investigations in this field. Methods: All publications on sepsis associated encephalopathy biomarkers research were retrieved and extracted from the China National Knowledge Infrastructure Database and the Web of Science Core Collection on December 31st, 2024. Microsoft Office Excel was used to conduct quantitative analysis of related studies data. VOSviewer, CiteSpace and R package "bibliometrix" were used to conduct the bibliometric analysis. Results: This study included 248 articles from 36 countries, with China and the United States identified as the primary contributors. The number of publications concerning sepsis associated encephalopathy biomarkers has been progressively rising on an annual basis. Santa Catarina State University, University of Texas Health Science Center at Houston and University of Texas System are the primary research institutions. The largest number of publications appeared in Molecular Neurobiology. Critical Care Medicine is the most co-cited journal. These publications contributed by 1,234 authors among which Felipe Dal-pizzol, Tatiana Barichello and Fabricia Petronilho had published numerous articles and Felipe Dal-pizzol was the most frequently co-cited. "Neuron specific enolase," "protein" and "oxidative damage markers" are the primary keywords of emerging research hotspots. Conclusion: This is the first thorough bibliometric study to summarize the developments and trends of sepsis associated encephalopathy biomarkers research since the inception of the China National Knowledge Infrastructure Database and the Web of Science Core Collection. These findings identify recent research hotspots, which will provide a reference for scholars studying sepsis associated encephalopathy biomarkers in the future.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.