1.Meta-IMU: A R Shiny App to Conduct Meta-Analysis in Systematic Review and Umbrella Reviews
Ket Li Ho ; Teguh Haryo Sasongko ; Sook Han Ng ; Sook Han Lai ; Lay Cheng Lim ; Sook Yee Gan
International e-Journal of Science, Medicine and Education 2025;19(3):64-83
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.
2.Chinese Medicine External Therapy Combined with Conventional Drug Treatment for Rheumatoid Arthritis: A Systematic Review and Meta-analysis
Sin Wei Tang ; Zhi Hang Wong ; Ket Li Ho ; Dahlya Qasryna Binti Zulkifli ; Jia Wen Koo ; Yung Chein Yong
International e-Journal of Science, Medicine and Education 2024;18(1):40-65
Introduction:
Chinese medicine (CM) external therapy is commonly used to treat rheumatoid arthritis (RA) in combination with conventional drug. This study aims to provide a comprehensive synthesis on the efficacy of CM external therapy combined with conventional drug treatment in RA.
Methods:
Randomised controlled trials (RCTs) experimenting the efficacy of CM external therapy (acupuncture, moxibustion and CM fumigation) combined with conventional drug in comparison with conventional drug only in RA patients were collected from PubMed, Medline, Cochrane Central of Controlled Trials (CENTRAL), ClinicalTrials.gov, China National Knowledge Infrastructure (CNKI), and Wanfang databases. Quality was assessed using the Cochrane Risk of Bias Tool. The outcome measures which include Disease Activity Score-28 (DAS28), Visual Analogue Scale (VAS), Swollen Joint Count (SJC), Tumour Necrosis Factor (TNF-α), serum levels of C-reactive Protein (CRP) and Erythrocyte Sedimentation Rate (ESR) were analysed using Review Manager 5.4.1 and GRADEpro GDT online software.
Results:
Fifty RCTs fulfilling the criteria were included. Although some level of efficacy was statistically noted on the use of CM external therapies, their certainty levels are mixed, ranging only in between moderate and low.
Conclusions
Mixed levels of certainty has hindered the drawing of conclusion. The addition of CM external therapies to conventional drug treatment may provide some benefits in RA. Further clinical trials with considerations in minimising the risk of bias are recommended to provide more high-quality evidence in the effect of CM external therapies as a complementary treatment in RA.
Medicine, Chinese Traditional
;
Fumigation
;
Meta-Analysis [Publication Type]
;
Moxibustion
;
Arthritis, Rheumatoid
;
Systematic Review [Publication Type]
3.EPOSTER • DRUG DISCOVERY AND DEVELOPMENT
Marwan Ibrahim ; Olivier D LaFlamme ; Turgay Akay ; Julia Barczuk ; Wioletta Rozpedek-Kaminska ; Grzegorz Galita ; Natalia Siwecka ; Ireneusz Majsterek ; Sharmni Vishnu K. ; Thin Thin Wi ; Saint Nway Aye ; Arun Kumar ; Grace Devadason ; Fatin Aqilah Binti Ishak ; Goh Jia Shen ; Dhaniya A/P Subramaniam ; Hiew Ke Wei ; Hong Yan Ren ; Sivalingam Nalliah ; Nikitha Lalindri Mareena Senaratne ; Chong Chun Wie ; Divya Gopinath ; Pang Yi Xuan ; Mohamed Ismath Fathima Fahumida ; Muhammad Imran Bin Al Nazir Hussain ; Nethmi Thathsarani Jayathilake ; Sujata Khobragade ; Htoo Htoo Kyaw Soe ; Soe Moe ; Mila Nu Nu Htay ; Rosamund Koo ; Tan Wai Yee ; Wong Zi Qin ; Lau Kai Yee ; Ali Haider Mohammed ; Ali Blebil ; Juman Dujaili ; Alicia Yu Tian Tan ; Cheryl Yan Yen Ng ; Ching Xin Ni ; Michelle Ng Yeen Tan ; Kokila A/P Thiagarajah ; Justin Jing Cherg Chong ; Yong Khai Pang ; Pei Wern Hue ; Raksaini Sivasubramaniam ; Fathimath Hadhima ; Jun Jean Ong ; Matthew Joseph Manavalan ; Reyna Rehan ; Tularama Naidu ; Hansi Amarasinghe ; Minosh Kumar ; Sdney Jia Eer Tew ; Yee Sin Chong ; Yi Ting Sim ; Qi Xuan Ng ; Wei Jin Wong ; Shaun Wen Huey Lee ; Ronald Fook Seng Lee ; Wei Ni Tay ; Yi Tan ; Wai Yew Yang ; Shu Hwa Ong ; Yee Siew Lim ; Siddique Abu Nowajish ; Zobaidul Amin ; Umajeyam Anbarasan ; Lim Kean Ghee ; John Pinto ; Quek Jia Hui ; Ching Xiu Wei ; Dominic Lim Tao Ran ; Philip George ; Chandramani Thuraisingham ; Tan Kok Joon ; Wong Zhi Hang ; Freya Tang Sin Wei ; Ho Ket Li ; Shu Shuen Yee ; Goon Month Lim ; Wen Tien Tan ; Sin Wei Tang
International e-Journal of Science, Medicine and Education 2022;16(Suppl1):21-37


Result Analysis
Print
Save
E-mail