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HomeArticlesVol 35,2025 No.1Detail

Methodology for evidence-based urology——evidence classification and retrieval

Published on Jan. 25, 2025Total Views: 232 timesTotal Downloads: 67 timesDownloadMobile

Author: WANG Yunyun 1 QIN Changjiang 2, 3 TONG Tiejun 4 MA Bin 5, 6 CAO Shiyi 7 ZHANG Chao 8 REN Xuequn 2, 3 LI Xiaodong 2, 9 ZHANG Miao 10 WENG Hong 1, 10 WANG Yang 2, 3 JIN Yinghui 1, 10 YANG Lu 11 ZENG Xiantao 1, 2, 12

Affiliation: 1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 2. Institutes of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng 475001, Henan Province, China 3. Department of General Surgery, Huaihe Hospital of Henan University, Kaifeng 475001, Henan Province, China 4. Department of Mathematics, Hong Kong Baptist University, Hong Kong 999077, China 5. Evidence-Based Medicine Centre, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China 6. Key Laboratory of Evidence-Based Medicine of Gansu Province, Lanzhou 730000, China 7. School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China 8. Center for Evidence-Based Medicine and Clinical Research, Affilated Hospital of Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei Province, China 9. Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng 475004, Henan Province, China 10. Zhongnan Medical Journal Press, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 11. Department of Urology, West China Hospital of Sichuan University, Chengdu 610041, China 12. Hubei Key Laboratory of Urinary System Diseases, Wuhan 430071, China

Keywords: Evidence-based urology Evidence-based medicine Methodology Evidence Evidence classification Evidence retrieval

DOI: 10.12173/j.issn.1004-5511.202410028

Reference: Wang YY, Qin CJ, Tong TJ, Ma Bin, Cao SY, Zhang C, Ren XQ, Li XD, Zhang M, Weng H, Wang Y, Jin YH, Yang L, Zeng XT. Methodology for evidence-based urology——evidence classification and retrieval[J]. Yixue Xinzhi Zazhi, 2025, 35(1): 2-13. DOI: 10.12173/j.issn.1004-5511.202410028. [Article in Chinese]

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Abstract

Evidence is a core element of evidence-based medicine, with diverse classifications and extensive sources. Most of it is based on journals and is commonly found in databases or websites such as PubMed, Web of Science, and CNKI. The number of literatures is countless, which also puts enormous pressure on researchers to consult and read literature. The field of urology is no exception. This article started with analyzing the characteristics of common clinical questions in the field, introduced the four criteria for their screening and two types of structured templates, clarified the definition, categories, identification, and three requirements for the application of the four evidence classification methods, and explained the selection of retrieval resources, construction of retrieval strategies, specific operational steps, and precautions for the retrieval process to develop and use evidence. In addition, combined with artificial intelligence technology, the future development trend of evidence classification and retrieval in the field of evidence-based urology has been clarified, which provided reference for further promoting the development of evidence-based urology.

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References

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