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Now showing items 11-15 of 15
Synthesizing cross-design evidence and cross-format data using network meta-regression
(2022-03)
In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) or non-randomized studies (NRS) as individual ...
Promoting inclusivity by ensuring that all patients with mental health issues are offered research opportunities in the NHS
(2022-01)
Research-active clinical services have lower mortality rates and produce higher quality care outcomes, however, recruiting participants to clinical research in the National Health System (NHS) remains challenging.1 A recent ...
Producing and using timely comparative evidence on drugs: lessons from clinical trials for covid-19
(2020-10)
Since the early days of the novel coronavirus
outbreak, a record number of studies have been
launched to test several repurposed and new
medicines as potential treatments for covid-19 An
analysis by the news organisation ...
Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
(2022-05)
Objective A network meta-analysis (NMA) usually assesses multiple outcomes across several treatment comparisons. The Vitruvian plot aims to facilitate communication of multiple outcomes from NMAs to patients and ...
Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis
(2023-11)
The relative treatment effects estimated from network meta-analysis can be employed to rank treatments from the most preferable to the least preferable option. These treatment hierarchies are typically based on ranking ...