Objective To quantify the effectiveness of pharmacological and lifestyle interventions to
prevent or delay type 2 diabetes in people with impaired glucose tolerance. Data sources …

This paper reviews the use of Bayesian methods in meta-analysis. Whilst there has been an
explosion in the use of meta-analysis over the last few years, driven mainly by the move …

Background Patients from ethnic minority groups are disproportionately affected by Coronavirus
disease (COVID-19). We performed a systematic review and meta-analysis to explore …

BACKGROUND AND AIMS Controversy surrounds the risk of colorectal cancer (CRC) in
ulcerative colitis (UC). Many studies have investigated this risk and reported widely varying …

… , KR Abrams and JP Myles ©2004 John Wiley & Sons, Ltd ISBN: 0-471-49975-7 … Bayesian
Approaches to Clinical Trials and Health-Care Evaluation DJ Spiegelhalter, KR Abrams and …

2.2. 2 Incidence rates 2.3 Comparative binary outcomes 2.3. 1 The Odds ratio 2.3. 2 Relative
risk (or rate ratio/relative rate) 2.3. 3 Risk differences between proportions (or the absolute …

ContextEgger's regression test is often used to help detect publication bias in meta-analyses.
However, the performance of this test and the usual funnel plot have been challenged …

OBJECTIVES: To present the contour-enhanced funnel plot as an aid to differentiating
asymmetry due to publication bias from that due to other factors. STUDY DESIGN AND SETTING: …

Objective: To assess the effect of publication bias on the results and conclusions of systematic
reviews and meta-analyses. Design: Analysis of published meta-analyses by trim and fill …

Background Crohn's disease is associated with small bowel cancer whilst risk of colorectal
cancer is less clear. Aim To ascertain the combined estimates of relative risk of these cancers …