Clinical practice guidelines serve as a crucial bridge linking research evidence, clinical practice, and health policy decision-making. However, the guideline domain continues to face persistent challenges, including duplicate guideline development, variable methodological quality, lack of transparent reporting, insufficient implementation and translation, and delayed updates. Focusing solely on "how to develop a high-quality guideline" is no longer sufficient to meet the modern healthcare system's demands for timely, trustworthy, actionable, and dynamically updated recommendations. The emergence of the guideline ecosystem marks a shift in guideline research and practice from a linear development process toward a more systematic governance model. Rooted in the evidence ecosystem, the guideline ecosystem has its own distinct functional positioning, encompassing recommendation formulation, clinical implementation, and life-cycle updating. Looking ahead, China should leverage guideline registries, integrated quality assessment systems, implementation science, dynamic updating mechanisms, and artificial intelligence technologies to promote the transformation of its guideline system from scale expansion to an ecosystem-based model characterized by high quality and sustainability.
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The rapid expansion of systematic reviews (SRs) has led to increasing concerns about research duplication and redundancy. While several tools exist to assess the quality and risk of bias of SRs, no standardized instrument specifically evaluates the degree of duplication between SRs on similar topics. This protocol describes the development and validation of the systematic review duplication (SRD) tool, which is designed to systematically assess and quantify duplication between intervention-based SRs in healthcare.
The development process follows established guidelines for creating reporting and quality assessment tools and comprises three phases: (Ⅰ) preparatory work, including team formation and tool conceptualization; (Ⅱ) tool development, involving initial item generation through a systematic literature review and analysis of existing tools, item validation through pilot testing with 40 SRs across 17 disease categories, modified Delphi surveys, and consensus meetings; and (Ⅲ) dissemination through academic channels and professional networks. The SRD tool will evaluate duplication across four domains: research topic, research methods, research results, and research quality. Expert consensus will be achieved through a two-round modified Delphi process with an agreement threshold of at least 70%. Inter-rater reliability will be assessed using the intraclass correlation coefficient and Kendall’s W coefficient. Expected outcomes: The SRD tool is expected to provide a standardized, user-friendly instrument for distinguishing necessary replication from redundant duplication in SRs. It will be available as both web-based and Excel-based applications.
The SRD tool is intended to fill a critical gap in evidence synthesis methodology by enabling the systematic assessment of duplication and supporting informed decision-making by researchers, journal editors, guideline developers, and clinicians.
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.
A comprehensive evaluation of clinical practice guidelines (CPGs) is essential to measure their quality. This study introduces the function and meaning of the systematic review of CPGs and combs the development and current status of guideline appraisal tools. On this basis, we expound the content and characteristics of the Scientific, Transparent, and Applicable Rankings Tool (STAR) for Guidelines in depth, with the hope of providing reference for the improvement of the compressive guideline assessment system and the development of high-quality guidelines in the future.
The registration of the guidelines is not only the initial step in the development process, but also an important part of the quality control of the guidelines. Thus, we analyzed the establishment and evolution of registration systems, the current state of guideline registration platforms, and the use of the Practice guideline REgistration for transPAREncy(PREPARE), with the goal of improving the transparency and quality of guideline development.
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