Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications - Summary - MDSpire

Bridging the Divide: A Cross-Sectional Study on the Role of Large Language Models in Emergency Medicine Publications

  • By

  • Ying Du

  • Zhendong Xu

  • Tianlin Wen

  • Yanqing Jia

  • Xiyan Zhao

  • Zhiwei Jia

  • March 1, 2026

  • 0 min

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Objective:

To systematically assess the prevalence and specific characteristics of LLM use guidance across emergency medicine journals, including directives for authors, editors, and reviewers.

Key Findings:
  • Significant variability in LLM guidance across emergency medicine journals, indicating a need for more consistent practices.
  • Only a subset of journals provided explicit directives regarding LLM use, which may lead to confusion among authors.
  • Disparities in guidance adoption correlated with journal quality metrics, suggesting that higher quality journals may be more proactive in establishing guidelines.
Interpretation:

The findings indicate a lack of uniformity in LLM guidance within emergency medicine, highlighting the urgent need for standardized recommendations to ensure integrity in scholarly communication and protect against misuse.

Limitations:
  • Study limited to journals with publicly accessible guidelines, which may not represent the full landscape of emergency medicine publications.
  • Potential bias in data extraction despite independent review, which could affect the reliability of the findings.
Conclusion:

The study underscores the importance of developing clear, consistent guidance on LLM use in emergency medicine to mitigate risks associated with their application in scholarly writing, ultimately safeguarding the integrity of published research.

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