Global collaboration and innovation in malignant cerebral edema research: a bibliometric perspective

Xinhua Peng1,2, Rongrong Zhu2, Ke Zhang2

  • 1Medical School of Nantong University, Nantong, China.

Frontiers in Neurology
|August 7, 2025
PubMed
Abstract

Insights

Malignant cerebral edema research has evolved from basic science to clinical practice, with significant growth in publications and international collaboration. Future efforts should address research gaps and leverage AI for better patient outcomes.

Area of Science:

  • Neuroscience
  • Critical Care Medicine
  • Bibliometrics

Background:

  • Malignant cerebral edema (MCE) is a severe complication of acute brain injury with high mortality.
  • Current treatments like osmotic therapies and decompressive craniectomy (DC) have limitations.
  • Understanding research trends is crucial for advancing MCE management.

Purpose of the Study:

  • To systematically map the evolution of Malignant cerebral edema research from 2005 to 2024.
  • To identify key trends, research gaps, and future priorities in the field.
  • To provide insights for optimizing neurocritical care strategies.

Main Methods:

  • Bibliometric analysis of 1,460 articles from the Web of Science Core Collection.
  • Utilized CiteSpace, VOSviewer, and Bibliometrix for data analysis.
  • Examined publication trends, geographic and institutional contributions, and keyword co-occurrence.

Main Results:

  • Annual publications increased significantly, with three distinct growth phases observed.
  • The United States and China led research output, with prominent institutions driving collaboration.
  • Research themes progressed from pathophysiology to clinical innovations, including DC, machine learning, and AI-driven risk stratification.

Conclusions:

  • MCE research has shifted towards interdisciplinary clinical practice and data integration.
  • Gaps include underrepresentation in pediatric research and global disparities in neurocritical care.
  • Future priorities involve biomarker discovery, global collaborations, and AI for improved functional recovery.

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