Publications by authors named "C Richard Nevill"
Background: Since 2015, the Complex Reviews Synthesis Unit (CRSU) has developed a suite of web-based applications (apps) that conduct complex evidence synthesis meta-analyses through point-and-click interfaces. This has been achieved in the R programming language by combining existing R packages that conduct meta-analysis with the shiny web-application package. The CRSU apps have evolved from two short-term student projects into a suite of eight apps that are used for more than 3,000 h per month.
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- The review aims to analyze the incidence, management, and outcomes of complications following various treatments for Dupuytren's contracture, finding that these complications are not well-documented.
- Data from 26 studies involving over 10,000 patients were examined, comparing different interventions like collagenase injection and limited fasciectomy, revealing that higher complication rates tend to correlate with more invasive procedures.
- Key findings showed that the reported rates of common complications were low overall, but the quality of reporting was poor, highlighting the need for better tracking of patient outcomes following these interventions.
Evidence synthesis, embedded within a systematic review of the literature, is a well-established approach for collating and combining all the relevant information on a particular research question. A robust synthesis can establish the evidence base, which underpins best practice guidance. Such endeavours are frequently used by policymakers and practitioners to inform their decision making.
View Article and Find Full Text PDFBackground: Health and social care interventions are often complex and can be decomposed into multiple components. Multicomponent interventions are often evaluated in randomised controlled trials. Across trials, interventions often have components in common which are given alongside other components which differ across trials.
View Article and Find Full Text PDFObjectives: Network meta-analysis (NMA) is becoming a popular statistical tool for analyzing a network of evidence comparing more than two interventions. A particular advantage of NMA over pairwise meta-analysis is its ability to simultaneously compare multiple interventions including comparisons not previously trialed together, permitting intervention hierarchies to be created. Our aim was to develop a novel graphical display to aid interpretation of NMA to clinicians and decision-makers that incorporates ranking of interventions.
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