https://github.com/mahshaaban/orlistat_meta_analysis

A training program for medical students on evaluating clinical evidence funded by the National Health Insurance Service in Korea
https://github.com/mahshaaban/orlistat_meta_analysis

Last synced: 4 days ago
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A training program for medical students on evaluating clinical evidence funded by the National Health Insurance Service in Korea

• Host: GitHub
• URL: https://github.com/mahshaaban/orlistat_meta_analysis
• Owner: MahShaaban
• License: mit
• Created: 2022-08-12T05:08:46.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-03-29T10:32:22.000Z (over 1 year ago)
• Last Synced: 2023-08-03T15:25:11.595Z (over 1 year ago)
• Language: R
• Homepage: https://www.mahshaaban.com/pages/a-guided-training-on-evaluating-clinical-evidence
• Size: 402 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
### Capstone Title: Meta-analysis of the Effect of Orlistat on The Body Mass Index in Obese Subjects

### Overview

Overweight and obesity are major health problems with several associated co-morbidities. Many clinical trials were conducted to evaluate the efficacy of the available anti-obesity agents. Meta-analysis of published studies provides one way to evaluate existing evidence. Here, we will survey the published literature, extract data and analyze the aggregate effect of the intervention on the target outcome. 

The intervention of interest is the anti-obesity agent Xenical with and without bodyweight management programs. The target outcome is reducing the body mass index (BMI) in obese subjects.

### Goal

Comparing the efficacy of Orlistat (Xenical) versus placebo and/or other bodyweight management programs for obese subjects with or without specific co-morbidities.

### Outcomes

Participants would be able to 

- Survey the literature using a set search strategy and inclusion criteria

- Extract data on the interventions and outcomes

- Apply a random-effects model meta-analysis to obtain an average effect of the treatment.

- Report on the analysis in a scientific paper format

### Links

- Source code ([GitHub repo](https://github.com/MahShaaban/orlistat_meta_analysis))

- Final report (coming soon)