QUADAS-2 is the most widely used tool for assessing risk of bias and applicability in diagnostic test accuracy (DTA) studies, but some aspects have proven problematic, prompting an update.
The tool has been updated to a third iteration - QUADAS-3, incorporating feedback from users, recent methodological developments, studies that have evaluated QUADAS-2 and feedback following piloting.
This web clinic will introduce the new QUADAS-3 tool and take you through a worked example to learn how to apply the tool.
Presenter Bios
Penny Whiting is Professor of Clinical Epidemiology at the University of Bristol. She is Co-Director of the Bristol TAG and the BESS Group. She has 25 years’ experience in evidence synthesis across a wide range of study designs and review types. She has particular expertise in diagnostic test evaluation and in developing robust quality assessment tools including all QUADAS versions, ROBIS, ROBIS NMA, RoB2, ROBINS-I and PROBAST. She established the LATITUDES network, equivalent to the EQUATOR Network for risk of bias tools. Her methodological work covers all stages of the systematic review process from literature searching to statistical synthesis and improving the communication and implementation of review findings.
Clare Davenport is a Consultant in Public Health and Associate Clinical professor at the University of Birmingham. She has more than 20 years’ experience of methodological and applied health research in systematic reviews and Health Technology Assessments of complex interventions and medical tests. She is co-author of the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy and a Senior Editor for the Cochrane Database of Systematic Reviews. Clare has a particular interest in evaluating the impacts of medical tests on patient outcomes and improving the accessibility of evidence for diagnostic decision making.
Bada Yang is an assistant professor in the Biomarker and Test Evaluation (BiTE) group at Amsterdam UMC, University of Amsterdam. He has a keen interest in the methodology of test evaluation, particularly in the comparison of diagnostic strategies and empirical methods for assessing bias. He led the development of the QUADAS-C tool and served in the core development teams of the QUADAS-3 and PROBAST+AI tools.
Sue Mallett is a Professor of diagnostic and prognostic medical statistics at the University College London. Sue has 20 years experience of research diagnostic accuracy, including over 40 diagnostic clinical trials and systematic reviews. She is co-leading the CLEARED CERSI-IVD Centre of Excellence of Regulatory Science and Innovation (CERSI)collaboration (since 2024). Sue’s research has included collaborations to develop diagnostic and prognostic study quality assessment tools (QUADAS-3, QUADAS-2, QUADAS-2C, PROBAST), as well as being a co-Director of the LATITUDES network, equivalent to the EQUATOR Network for risk of bias tools. Her research focus is on research to inform clinical guidelines, as well as methodological research to inform regulation of medical diagnostics.
