QUADAS-C—A tool for assessing risk of bias regarding Quality Assessment of Diagnostic Accuracy Studies-Comparative
Yang Qiuyu, Lu Yao, Xie Xinling, Lai Honghao, Tian Chen, Niu Meng, Tian Jinhui, Li Ni, Li Jiang, Ge Long
Abstract
This paper introduced the Quality Assessment of Diagnostic Accuracy Studies-Comparative (QUADAS-C), illustrated the comparison with the QUADAS-2, and using QUADAS-C together with QUADAS-2 to present QUADAS-C results through systematic reviews. Like the domain for QUADAS-2, QUADAS-C retained four domains, including patient selection, index test, reference standard, flow, and timing, and comprised additional questions for each QUADAS-2 part. Unlike the QUADAS-2 tool, the starting question of each domain for QUADAS-C was designed to summarize the risk of biased information captured by QUADAS-2. QUADAS-C only dealt with the risk of bias but did not include the part of concerns regarding applicability. The answers to signaling questions for each domain of QUADAS-C would lead to a 'low''high' or 'unclear' risk of biased judgment for the original study.
Key words:
Comparative diagnostic test accuracy study; Risk of bias; Systematic review
Contributor Information
Yang Qiuyu
Evidence Based Nursing Centre, School of Nursing, Lanzhou University, Lanzhou 730000, China
Lu Yao
Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
Xie Xinling
The Second School of Clinical Medicine of Lanzhou University, Lanzhou 730000, China
Lai Honghao
Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
Tian Chen
Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
Niu Meng
Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China
Tian Jinhui
Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China
Li Ni
National Cancer Center/National Cancer Clinical Medical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
Li Jiang
National Cancer Center/National Cancer Clinical Medical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
Ge Long
Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China
Department of Social Science and Health Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China