ZHENG Qingyong 1,2,3 , XU Jianguo 1,2,3 , ZHOU Ziyu 4 , XU Haitao 5 , ZHANG Mengjun 6 , TIAN Chen 2,7,8,9 , LIU Hui 1,2,3 , YAO Yuanyuan 1,2,3 , LIU Ming 1,2,10 , GAO Ya 11,12 , GE Long 2,7,8,9 , TIAN Jinhui 1,2,3 , ZHANG Junhua 13,14
  • 1. Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
  • 2. Key Laboratory of Evidence-Based Medicine of Gansu Province, Lanzhou 730000, P. R. China;
  • 3. Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences, Lanzhou 730000, P. R. China;
  • 4. The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, P. R. China;
  • 5. College of Artificial Intelligence Medicine, Chongqing Medical University, Chongqing 400016, P. R. China;
  • 6. School of Nursing, Hebei University, Baoding 071000, P. R. China;
  • 7. Department of Health Policy and Management, School of Public Health, Lanzhou 730000, P. R. China;
  • 8. Laboratory of Cross-Innovation for Evidence-based Social Sciences, Lanzhou 730000, P. R. China;
  • 9. Research Centre for Health Management and Health Development, Lanzhou University, Lanzhou 730000, P. R. China;
  • 10. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 639646, Singapore;
  • 11. School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, P. R. China;
  • 12. National Institute of Health and Medical Data Science, Jinan 250003, P. R. China;
  • 13. Evidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, P. R. China;
  • 14. Key Laboratory of Evidence-Based Evaluation of Traditional Chinese Medicine, National Medical Products Administration, Tianjin 301617, P. R. China;
TIAN Jinhui, Email: tjh996@163.com; ZHANG Junhua, Email: zjhtcm@163.com
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The reporting quality of systematic reviews and meta-analyses is fundamental to the value of evidence in evidence-based medicine. As the internationally endorsed standard, the PRISMA statement and its extensive suite of extensions are crucial for standardizing reporting and enhancing transparency. However, a comprehensive, systematic understanding of its entire framework and profound challenges remains inadequate in the academic community. This review aims to systematically delineate and deeply analyze the complete PRISMA reporting guideline framework, evaluate its application value, uncover its implementation challenges, and forecast its future development directions. This paper traces PRISMA's evolution from its predecessor, QUOROM, to PRISMA 2020, highlighting key shifts in its core principles. It systematically constructs a multi-dimensional framework for the PRISMA family for the first time, categorizing its extensions by foundational versions, study design/analysis types, reporting process stages, disciplinary domains, and specific areas of focus, complemented by a forward-looking analysis of tools currently under development. The review delves into the deep-seated challenges in PRISMA's implementation, including misconceptions, inconsistent application, cross-disciplinary adaptability, and methodological limitations. It proposes that its future lies in balancing standardization with flexibility, enhancing globalized application, and deeply integrating with emerging technologies like artificial intelligence. The PRISMA framework has evolved from a mere reporting checklist into a core methodological architecture that promotes standardization throughout the entire evidence synthesis lifecycle. The continuous optimization and proper application of this framework are of critical theoretical and practical significance for enhancing the overall quality and impact of evidence synthesis research globally.

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