China News Service, Guangzhou, February 26 (Xu Qingqing, Tang Xiaorong) Guangzhou University of Traditional Chinese Medicine announced on the 26th that the top international medical journal "British Medical Journal" published the paper of the team of Professor Xu Nenggui from the school on the 25th. The clinical evidence of acupuncture and moxibustion in the Epistemonikos database, the most complete and optimal clinical evidence database on the Internet, constructed the clinical evidence matrix of acupuncture and moxibustion for the first time and formulated the world's first clinical evidence map of acupuncture and moxibustion. Base.

  According to reports, in recent years, the global acupuncture clinical trial research has flourished, and clinical evidence of acupuncture has emerged in large quantities, but there is a lack of scientific analysis and recommendation of these evidences, so that effective treatment measures cannot be translated and applied internationally in a timely manner.

The research of Professor Xu Nenggui's team solved the current problem of unclear classification of the dominant and potential diseases of acupuncture and moxibustion, and clarified the therapeutic effect and evidence strength of acupuncture and moxibustion in the above-mentioned diseases through rigorous and scientific analysis methods.

  It is reported that the research applied the analysis technology of artificial intelligence, and completed the "linking" work of original research in 20 disease areas and 332 systematic reviews.

A total of 77 evidence matrices have been constructed, which is currently the most comprehensive evidence matrix of acupuncture clinical research in the world.

The Acupuncture Clinical Evidence Matrix is ​​stored in the Epistemonikos database for global sharing.

  The study also developed the world's first clinical evidence map of acupuncture.

It is reported that the study involved 77 diseases in 12 disease areas, and the study data included 205 outcome indicators from 1,402 randomized controlled trials.

The researchers rated the strength of evidence recommendation, constructed evidence charts through statistical analysis of evidence and visualization methods, and finally formed the current optimal clinical practice recommendation plan for acupuncture and moxibustion.

Specifically, according to the large, medium, and small effect sizes of acupuncture and moxibustion, as well as high, medium, and low-quality evidence, the classification and recommendation of the dominant diseases for acupuncture treatment and the potential diseases for acupuncture treatment are formed.

  The research team suggested that in future clinical research on acupuncture and moxibustion, an evidence-based decision-making atmosphere should be created, the generation and implementation of evidence should be facilitated through coordinated efforts of multi-stakeholders, and the exchange and sharing of evidence should be facilitated using digital repositories and artificial intelligence technologies.

This will greatly improve the evidence-based process and efficiency of acupuncture clinical practice, policy decision-making, and scientific research investment.

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