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Volume 14 Issue 1
Jan.  2023
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Article Contents
Abstract
References
CHEN Yaolong, SUN Yajia, LUO Xufei, YU Xuan. The Core Methods and Key Models in Evidence-based Medicine[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(1): 1-8. DOI: 10.12290/xhyxzz.2022-0686
Citation: CHEN Yaolong, SUN Yajia, LUO Xufei, YU Xuan. The Core Methods and Key Models in Evidence-based Medicine[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(1): 1-8. DOI: 10.12290/xhyxzz.2022-0686
shu

The Core Methods and Key Models in Evidence-based Medicine

  • 1.

    School of Public Health, Lanzhou University, Lanzhou 730000, China

  • 2.

    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China

  • 3.

    Research Unit of Evidence-based Evaluation and Guidelines, Chinese Academy of Medical Sciences, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China

Funds: 

Fundamental Research Funds for the Central Universities lzujbky-2021-ey13

More Information
  • Corresponding author:

    CHEN Yaolong, E-mail: chenyaolong@lzu.edu.cn

  • Received Date: November 30, 2022
  • Accepted Date: December 27, 2022
  • Available Online: January 04, 2023
  • Issue Publish Date: January 29, 2023
    Graphical Abstract
    • Abstract
  • This study reviews the core methods and models that have emerged from the development of evidence-based medicine over the past 30 years, including the PICO question model, systematic reviews, grading of evidence quality and strength of recommendations, reporting guidelines, the 5S pyramid of evidence resources, and evidence ecosystem. The above methods and models constitute the theoretical system, promote the progress of evidence-based medicine and provide the internal impetus for its development. The clarification of the core methods and key models of evidence-based medicine will help scholars and researchers fully understand its scientific philosophy, explore its future direction in light of current development trends, achieve its renewal and iteration, and further promote the construction of evidence-based science and the development of multidisciplinary integration.
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    • References (60)
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