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QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
TLDR
The QUADAS-2 tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews
TLDR
The aim of this project was to combine empirical evidence and expert opinion in a formal consensus method to develop a tool to be used in systematic reviews to assess the quality of primary studies of diagnostic accuracy.
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
TLDR
In virtually all medical domains, diagnostic and prognostic multivariable prediction models are being developed, validated, updated, and implemented with the aim to assist doctors and individuals in estimating probabilities and potentially influence their decision making.
Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies
TLDR
The evaluation highlighted particular difficulties in scoring the items on uninterpretable results and withdrawals, and it is essential that reviewers tailor guidelines for scoring items to their review, and ensure that all reviewers are clear on how to score studies.
Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.
OBJECTIVE Our aim was to improve the accuracy and completeness of reporting of studies of diagnostic accuracy in order to allow readers to assess the potential for bias in a study and to evaluate the
Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.
TLDR
If medical journals adopt the STARD checklist and flow diagram, the quality of reporting of studies of diagnostic accuracy should improve to the advantage of clinicians, researchers, reviewers, journals, and the public.
Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist
Carl Moons and colleagues provide a checklist and background explanation for critically appraising and extracting data from systematic reviews of prognostic and diagnostic prediction modelling
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement
TLDR
The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study regardless of the study methods used, and is best used in conjunction with the TRIPod explanation and elaboration document.
Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
TLDR
This review indicates that proposed models for diagnosing coronavirus disease 2019 (covid-19) are poorly reported, at high risk of bias, and their reported performance is probably optimistic, and it is not recommend any of these reported prediction models for use in current practice.
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