LAI Honghao 1,2 , YANG Qiuyu 3 , SUN Mingyao 3 , TIAN Chen 1,2 , LU Yao 1,2 , TIAN Jinhui 4,5 , LI Jiang 6 , GE Long 1,2,4
  • 1. Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
  • 2. Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
  • 3. Evidence Based Nursing Centre, School of Nursing, Lanzhou University, Lanzhou 730000, P. R. China;
  • 4. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, P. R. China;
  • 5. Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
  • 6. National Cancer Center/National Cancer Clinical Medical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P. R. China;
LI Jiang, Email: lij@cicams.ac.cn; GE Long, Email: gelong2009@163.com
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Previous methods of grading evidence for systematic reviews of diagnostic test accuracy have generally focused on assessing the certainty (quality) of evidence at the level of diagnostic indicators. When the question is not limited to follow the diagnostic test accuracy results themselves, the grading results may be inaccurate due to the lack of consideration of the downstream effects of the test accuracy in specific settings. To address these challenges, the GRADE working group conducted a series of studies focused on updating methods to explore or simulate important downstream effects of diagnostic test accuracy outcomes within a contextual framework. This paper aimed to introduce advances in the contextual framework of the GRADE approach to rate the certainty of evidence from systematic reviews of single diagnostic test accuracy.

Citation: LAI Honghao, YANG Qiuyu, SUN Mingyao, TIAN Chen, LU Yao, TIAN Jinhui, LI Jiang, GE Long. Advance in the GRADE approach to grade evidence from a systematic review of single diagnostic test accuracy. Chinese Journal of Evidence-Based Medicine, 2022, 22(9): 1090-1098. doi: 10.7507/1672-2531.202206021 Copy

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