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.
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http://dx.doi.org/10.3760/cma.j.cn112338-20211101-00841 | DOI Listing |
Ont Health Technol Assess Ser
December 2024
Background: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, accounting for about 85% of all lung cancer cases. While some cases of NSCLC with actionable genomic alterations in the tumour cells may respond to standard therapies, they often show greater improvement with targeted therapies. The current standard of care in Ontario involves testing for actionable genomic alterations using both DNA and RNA panels via tissue testing alone.
View Article and Find Full Text PDFCochrane Database Syst Rev
December 2024
NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
Background: Sample collection is a key driver of accuracy in the diagnosis of SARS-CoV-2 infection. Viral load may vary at different anatomical sampling sites and accuracy may be compromised by difficulties obtaining specimens and the expertise of the person taking the sample. It is important to optimise sampling accuracy within cost, safety and accessibility constraints.
View Article and Find Full Text PDFJ Clin Epidemiol
November 2024
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Background And Objectives: Multiple tools exist for assessing the methodological quality of diagnosis and prognosis research. It can be challenging to decide on when to use which tool. We aimed to provide an overview of existing methodological quality assessment (QA) tools for diagnosis and prognosis studies, highlight the overlap and differences among these tools, and to provide guidance for choosing the appropriate tool.
View Article and Find Full Text PDFThorax
October 2024
Warwick Screening, Warwick Medical School, University of Warwick, Coventry, UK.
Objectives: To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT.
Methods: A systematic review of CE-marked, AI-based software for automated detection and analysis of nodules in CT lung cancer screening was conducted. Multiple databases including Medline, Embase and Cochrane CENTRAL were searched from 2012 to March 2023.
Eur Respir Rev
July 2024
Division of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic, Jacksonville, FL, USA
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