• 1. Department of Oncology, Hubei Hospital of Tranditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan 430061, P. R. China;
  • 2. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, P. R. China;
  • 3. Center for Evidence-Based and Translational Medicine, Wuhan University, Wuhan 430071, P. R. China;
  • 4. Department of Evidence-Based Medicine and Clinical Epidemiology, The Second Clinical College, Wuhan University, Wuhan 430071, P. R. China;
  • 5. The Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, P. R. China;
  • 6. The Second Clinical College, Wuhan University, Wuhan 430071, P. R. China;
  • 7. School of Basic Medical Sciences, Wuhan University, Wuhan 430071, P. R. China;
JIN Yinghui, Email: jinyinghui0301@163.com; QIN Danmei, Email: 22341212@qq.com
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Systematic review (SR) and meta-analysis, as the highest level of evidence-based medicine, are an indispensable part of guiding medical staff to make medical decisions. At the same time, the status of patients as shared decision-making is rising. At present, the results of SR and meta-analysis are mainly presented in the form of effect (relative risk or mean difference) and forest plot. The expression is not intuitive or professional. The process of evidence-based evidence guiding clinical decision-making lags behind, which cannot meet the needs of rapid decision-making. With the continuous progress in artificial intelligence and big data analysis tools, researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making. Through the interpretation of the outcomes of SR and meta-analysis, this paper presents different visualization results from the perspective of patients and clinical decision-makers, which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making, but also helps improve residents' health literacy, promotes the dissemination and sharing of knowledge, and provides references for further promoting the technology of automatic decision-making system.

Citation: BI Zhengan, HUANG Qiao, YAN Siyu, YUAN Mengqian, HE Jing, TIAN Linghui, LIU Xinyu, HE Weijie, JIN Yinghui, QIN Danmei. Interpretation and visualization of the results of systematic review and meta-analysis—the perspectives of decision makers and patients. Chinese Journal of Evidence-Based Medicine, 2024, 24(6): 715-721. doi: 10.7507/1672-2531.202308057 Copy

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