Methodology for evidence-based urology——evidence classification and retrieval
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 pressur...
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| Format: | Article |
| Language: | zho |
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Editorial Office of New Medicine
2025-01-01
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| Series: | Yixue xinzhi zazhi |
| Subjects: | |
| Online Access: | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2501/uiMVmh1zta9Y9efXGJhYyhYCdYmd3kuNqrAD6CC3.pdf |
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| _version_ | 1832586482249891840 |
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| author | WANG Yunyun QIN Changjiang TONG Tiejun MA Bin CAO Shiyi ZHANG Chao REN Xuequn LI Xiaodong ZHANG Miao WENG Hong WANG Yang JIN Yinghui YANG Lu ZENG Xiantao |
| author_facet | WANG Yunyun QIN Changjiang TONG Tiejun MA Bin CAO Shiyi ZHANG Chao REN Xuequn LI Xiaodong ZHANG Miao WENG Hong WANG Yang JIN Yinghui YANG Lu ZENG Xiantao |
| author_sort | WANG Yunyun |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-db63ecf4705f42b9a336dd49ffae8de0 |
| institution | Kabale University |
| issn | 1004-5511 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of New Medicine |
| record_format | Article |
| series | Yixue xinzhi zazhi |
| spelling | doaj-art-db63ecf4705f42b9a336dd49ffae8de02025-01-25T11:47:41ZzhoEditorial Office of New MedicineYixue xinzhi zazhi1004-55112025-01-0135121310.12173/j.issn.1004-5511.2024100286581Methodology for evidence-based urology——evidence classification and retrievalWANG YunyunQIN ChangjiangTONG TiejunMA BinCAO ShiyiZHANG ChaoREN XuequnLI XiaodongZHANG MiaoWENG HongWANG YangJIN YinghuiYANG LuZENG XiantaoEvidence 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.https://yxxz.whuznhmedj.com/futureApi/storage/attach/2501/uiMVmh1zta9Y9efXGJhYyhYCdYmd3kuNqrAD6CC3.pdfevidence-based urologyevidence-based medicinemethodologyevidenceevidence classificationevidence retrieval |
| spellingShingle | WANG Yunyun QIN Changjiang TONG Tiejun MA Bin CAO Shiyi ZHANG Chao REN Xuequn LI Xiaodong ZHANG Miao WENG Hong WANG Yang JIN Yinghui YANG Lu ZENG Xiantao Methodology for evidence-based urology——evidence classification and retrieval Yixue xinzhi zazhi evidence-based urology evidence-based medicine methodology evidence evidence classification evidence retrieval |
| title | Methodology for evidence-based urology——evidence classification and retrieval |
| title_full | Methodology for evidence-based urology——evidence classification and retrieval |
| title_fullStr | Methodology for evidence-based urology——evidence classification and retrieval |
| title_full_unstemmed | Methodology for evidence-based urology——evidence classification and retrieval |
| title_short | Methodology for evidence-based urology——evidence classification and retrieval |
| title_sort | methodology for evidence based urology evidence classification and retrieval |
| topic | evidence-based urology evidence-based medicine methodology evidence evidence classification evidence retrieval |
| url | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2501/uiMVmh1zta9Y9efXGJhYyhYCdYmd3kuNqrAD6CC3.pdf |
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