Background: Duchenne Muscular Dystrophy (DMD) is a rare disorder caused by mutations in the dystrophin gene. A recent systematic review and meta-analysis of global DMD epidemiology is not available. This study aimed to estimate the global overall and birth prevalence of DMD through an updated systematic review of the literature.Methods: MEDLINE and EMBASE databases were searched for original research articles on the epidemiology of DMD from inception until 1st October 2019. Studies were included if they were original observational research articles written in English, reporting DMD prevalence and/or incidence along with the number of individuals of the underlying population. The quality of the studies was assessed using a STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist adapted for observational studies on rare diseases. To derive the pooled epidemiological prevalence estimates, a meta-analysis was performed using random-effects logistic models for overall and birth prevalence and within two different underlying populations (i.e. all individuals and in males only), separately. Heterogeneity was assessed using Cochran’s Q-test along with its derived measure of inconsistency I².Results: A total of 44 studies reporting the global epidemiology of DMD were included in the systematic review and only 40 were included in the meta-analysis. The pooled global DMD prevalence was 7.1 cases (95% CI: 5.0–10.1) per 100,000 males and 2.8 cases (95% CI: 1.6–4.6) per 100,000 in the general population, while the pooled global DMD birth prevalence was 19.8 (95% CI:16.6–23.6) per 100,000 live male births. A very high between-study heterogeneity was found for each epidemiological outcome and for all underlying populations (I² > 90%). The test for funnel plot asymmetry suggested the absence of publication bias. Of the 44 studies included in this systematic review, 36 (81.8%) were assessed as being of medium and 8 (18.2%) of low quality, while no study was assessed as being of high quality.Conclusions: Generating epidemiological evidence on DMD is fundamental to support public health decision-making. The high heterogeneity and the lack of high quality studies highlights the need to conduct better quality studies on rare diseases.

Objective To assess the epidemiology of gout and hyperuricaemia in the Italian general population during the years 2005–2009. Methods Using the Italian primary care database (Health Search/CSD Longitudinal Patient Database), the prevalence, incidence and recurrence rates of gout and/or hyperuricaemia (serum urate level >360 mmol/l (6 mg/dl)) in outpatients aged ≥18 years during the years 2005–2009 were estimated. Rates together with 95% CI were measured overall and stratified by age, gender and calendar year. The characteristics of patients with newly diagnosed gout and hyperuricaemia were investigated and compared with the general population. Results The prevalence of gout increased from 6.7 per 1000 inhabitants in 2005 to 9.1 per 1000 inhabitants in 2009. It increased with advancing age and was fourfold higher in men. A similar trend was observed for asymptomatic hyperuricaemia (85.4 per 1000 inhabitants in 2005 vs 119.3 per 1000 inhabitants in 2009). The incidence of gout remained stable during the observation years (0.93 per 1000 person years in 2005 vs 0.95 in 2009). Recurrent episode rate was 19.1% during the first year following the first gout attack and 31.6% during the following 5 years. Advanced age, increased levels of uric acid, nephrolithiasis and concomitant use of ciclosporin were the main predictors of recurrence of gout attacks. Conclusion The prevalence of gout and hyperuricaemia increased in Italy from 2005 to 2009. A high recurrence rate for gout attack was observed during the first year following the first episode. Early management of hyperuricaemia in patients at higher risk of recurrent gout attack should be considered in primary care.

Introduction: Adverse drug reactions (ADRs) are an important cause of morbidity and mortality worldwide. They are associated with healthcare costs due to hospital admissions or prolonged length of stay, as well as additional interventions. The aim of this study was to conduct a systematic review of observational studies to evaluate the economic impact of preventable ADRs. Areas covered: Published observational research investigating the cost of preventable ADRs in Western countries (limited to the USA and European countries). Expert opinion: Several reviews have been carried out in the field of the ADR epidemiology but fewer reviews have investigated the economic impact of ADRs, and at the time of writing, none has focused on preventable ADRs. The reason why future research should focus on the costs of preventable ADRs is that both the costs and the negative clinical outcomes are preventable, and as such, are a key point of public health policy action. Nevertheless, the present review highlights an important and sobering limitation of published research on the cost of preventable ADRs, of which the major limitation is the heterogeneity in methods and in reporting which limit what can be known through the summarizing work of a systematic review.

The coronavirus disease (COVID-19) pandemic has affected an estimated 16 million persons and caused 0.6 million deaths worldwide by September 2020. The pandemic has led to a rush to repurpose existing drugs, although the underlying evidence base is of variable quality. The improving knowledge of the virology and clinical presentation of COVID-19 is leading to a broadening pool of potential pharmacological targets. The aim of this review is to describe regulatory and pharmacological aspects of drug repurposing and to identify drugs proposed for repurposing in COVID-19 based on registered clinical trials, discussing the evidence to support their use in the treatment of this disease. The challenges of the correct interpretation of existing pre-clinical/clinical evidence as well as the generation of new evidence concerning drug repurposing in COVID-19 will also be discussed. Clinical Trial Registration: https://clinicaltrials.gov, identifier NCT04321174, NCT04342663, NCT04280705, NCT04244591, NCT04359329, NCT04348695, NCT04304313, NCT043505931