Meta-IMU: A R Shiny App to Conduct Meta-Analysis in Systematic Review and Umbrella Reviews Many tools exist for conducting meta-analyses in systematic reviews, but they are often expensive or difficult for beginners to use. This challenge arises because most tools either fail to address all aspects of meta-analysis comprehensively or lack sufficient guidance for navigating their features. To address these limitations, we developed Meta-IMU, a free R-based Shiny application tailored specifically for beginners. Unlike many existing tools that focus solely on standard systematic reviews, Meta-IMU supports both systematic reviews and umbrella reviews, offering a more versatile approach. To ensure accessibility, Meta-IMU includes built-in instructional videos that guide users step by step, from navigating the application to interpreting the results produced. This guidance ensures users can confidently perform analyses without prior expertise. Meta-IMU encompasses a comprehensive range of features covering key aspects of meta-analysis, such as defining review questions, developing search terms, retrieving studies from various databases, assessing risk of bias, creating tables and plots, analysing small-study effects, performing meta-regression and subgroup analyses, conducting sensitivity analyses, assessing the certainty of evidence, summarizing findings, and generating PRISMA checklist reports. By integrating these functionalities into a single platform, Meta-IMU provides a user-friendly, all-in-one solution. In summary, Meta-IMU is a comprehensive, free application designed to simplify the process of meta-analysis for both systematic reviews and umbrella reviews, making advanced analytical techniques accessible to researchers at any level of experience.

Objective: To determine the Dermatology Life Quality Index (DLQI) among the subtypes of leprosy and to examine correlation with deformity and lepra reactions. Methods: This was a cross-sectional study done at Dermatology Outpatient Clinic, Queen Elizabeth Hospital and two health clinics in Kota Kinabalu between 1st April 2019 and 30th November 2019. A standardised case report form was formulated to collect the demographic data and disease profile of the leprosy patients. The quality of life (QoL) was assessed using Dermatology Life Quality Index (DLQI) questionnaire. Results: A total of 54 patients were included with a male to female ratio of 2.4:1 (38 males and 16 females). The mean DLQI score was 8.31±6.15. The difference between the mean DLQI scores among the leprosy subtypes was not significant. The most affected domain was symptoms and feeling followed by daily activities and leisure. Twenty-one patients (38.9%) had facial deformity and they were found to have significantly higher DLQI score. WHO grade 1 and 2 disability were observed in 37 patients (68.5%) with higher DLQI score compared to those without any disability. More than half of patients with MB leprosy (52.2%) developed lepra reactions but the difference of mean DLQI scores were not significant. Conclusions: Leprosy-related disabilities may predispose patients to develop psychosocial problems which may have negative impact on QoL. Thus, periodic assessment of QoL should be incorporated into the management of leprosy patients