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Marie Westwood

Researcher at University of York

Publications -  41
Citations -  13933

Marie Westwood is an academic researcher from University of York. The author has contributed to research in topics: Systematic review & Randomized controlled trial. The author has an hindex of 23, co-authored 39 publications receiving 10346 citations.

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QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

TL;DR: The QUADAS-2 tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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Cannabinoids for Medical Use: A Systematic Review and Meta-analysis.

TL;DR: There was moderate- quality evidence to support the use of cannabinoids for the treatment of chronic pain and spasticity and low-quality evidence suggesting that cannabinoids were associated with improvements in nausea and vomiting due to chemotherapy, weight gain in HIV infection, sleep disorders, and Tourette syndrome.
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PROBAST: A tool to assess the risk of bias and applicability of prediction model studies

TL;DR: This work presents PROBAST (Prediction model Risk Of Bias ASsessment Tool), a tool to assess the ROB and concerns regarding the applicability of diagnostic and prognostic prediction model studies, and develops the accompanying explanation and elaboration document.
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PROBAST : A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

TL;DR: The rationale behind the domains and signaling questions, how to use them, and how to reach domain-level and overall judgments about ROB and applicability of primary studies to a review question are described.
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Diagnostic tests and algorithms used in the investigation of haematuria: systematic reviews and economic evaluation

TL;DR: The evidence suggests that urine cytology has no application in ruling out malignancy or excluding patients from further investigation and the economic model for the detection of microhaematuria found that immediate microscopy following a positive dipstick test would improve diagnostic efficiency as it eliminates the high number of false positives produced by dipstick testing.