ARCResearch academy

Wave 13: Systematic review and Meta-analyses of the case reports and case series

About this course

About this course:
This course is provided by ARC team to help the researcher to conduct and publish their research idea in prestigious journals.
This research design is very unique to our team as we developed the methodology and publish it in systematic reviews journal to establish the guideline on it.
here is the study link : https://pmc.ncbi.nlm.nih.gov/articles/PMC12577311/
please read the paper before starting the course.

To view course map and syllabus: Course Map

Course content

15 modules, 73 lessons, 9 quizzes.

Module 1: Introduction to research12 lessons ยท 1 quiz
  • What is research ?๐Ÿ”’
  • Why and when to start research?๐Ÿ”’
  • Evidence Based medicine 1๐Ÿ”’
  • Evidence Based medicine 2๐Ÿ”’
  • Evidence Based medicine 3๐Ÿ”’
  • General Concepts and Terms 1๐Ÿ”’
  • General Concepts and Terms 2๐Ÿ”’
  • How to read a research paper?๐Ÿ”’
  • supplementary material๐Ÿ”’
  • Live meeting 1๐Ÿ”’
  • Live meeting 2 (part 1)๐Ÿ”’
  • Live meeting 2 (part 2)๐Ÿ”’
  • EBM Quiz๐Ÿ”’
Module 2: Research infrastructure8 lessons ยท 1 quiz
  • How to find a research Idea๐Ÿ”’
  • How to formulate PICO question๐Ÿ”’
  • Good team !๐Ÿ”’
  • supplementary on PICO and idea๐Ÿ”’
  • Find an Idea by AI๐Ÿ”’
  • Supplementary material and task on idea and PICO๐Ÿ”’
  • Finding an idea. Live meeting (part 1) (copy)๐Ÿ”’
  • Finding an idea. Live meeting (part 2)๐Ÿ”’
  • Module 2: Research infrastructure๐Ÿ”’
Module 3 : Searching the databases7 lessons ยท 1 quiz
  • MeSH term generator๐Ÿ”’
  • searching PubMed๐Ÿ”’
  • searching the Scopus๐Ÿ”’
  • Searching the Google scholar๐Ÿ”’
  • supplementary on search and exercise๐Ÿ”’
  • Supplementary material and task on search strategy :๐Ÿ”’
  • Live lecture with applying example๐Ÿ”’
  • Module 3 : Searching the databases๐Ÿ”’
Module 4: Filtration of the papers3 lessons ยท 1 quiz
  • Filtration process๐Ÿ”’
  • Live lecture part 1๐Ÿ”’
  • Live lecture part 2๐Ÿ”’
  • Module 4: Filtration of the papers๐Ÿ”’
Module 5: Data extraction7 lessons ยท 1 quiz
  • Data extraction 1๐Ÿ”’
  • Data extraction 2๐Ÿ”’
  • Quality assessment of the papers๐Ÿ”’
  • Data extraction by AI๐Ÿ”’
  • Task on data extraction :๐Ÿ”’
  • Live lecture with applying example part 1๐Ÿ”’
  • Live lecture with applying example part 2๐Ÿ”’
  • Module 5: Data extraction๐Ÿ”’
Module 6: Data analysis10 lessons ยท 1 quiz
  • Types of data๐Ÿ”’
  • Important concepts๐Ÿ”’
  • Data cleaning 1๐Ÿ”’
  • Data cleaning 2๐Ÿ”’
  • Data analysis 1๐Ÿ”’
  • Data analysis 2๐Ÿ”’
  • Data analysis with AI๐Ÿ”’
  • Other important tests๐Ÿ”’
  • Supplementary material๐Ÿ”’
  • Live meeting : Data analysis + AI Made with Clipchamp๐Ÿ”’
  • Module 6: Data analysis๐Ÿ”’
Module 7: Writing the paper8 lessons ยท 1 quiz
  • Writing methodology๐Ÿ”’
  • Writing the results๐Ÿ”’
  • Writing the PRISMA๐Ÿ”’
  • Writing the discussion๐Ÿ”’
  • Writing the introduction๐Ÿ”’
  • Writing the Abstract and conclusion๐Ÿ”’
  • Write with AI๐Ÿ”’
  • live lecture part1๐Ÿ”’
  • Module 7: Writing the paper๐Ÿ”’
Module 8: protocol3 lessons
  • Protocol part 1๐Ÿ”’
  • Protocol part 2๐Ÿ”’
  • Rayyan๐Ÿ”’
Module 9: publication5 lessons ยท 1 quiz
  • How to find a journal๐Ÿ”’
  • How to find a conference๐Ÿ”’
  • How to fund your research paper๐Ÿ”’
  • Last live lecture part 1๐Ÿ”’
  • Last live lecture part 2๐Ÿ”’
  • Module 8: publication๐Ÿ”’
Module 10: CV1 lesson
  • CV๐Ÿ”’
Module 11: How to write a case report2 lessons
  • Part 1๐Ÿ”’
  • Part 2๐Ÿ”’
Final Exam: Systematic Review and Analysis of Case Reports0 lessons ยท 1 quiz
  • Final exam: Systematic Review and Analysis of Case Reports๐Ÿ”’
Revision module3 lessons
  • Part 1๐Ÿ”’
  • Part 2๐Ÿ”’
  • Part 3๐Ÿ”’
Revision module (copy)1 lesson
  • Part๐Ÿ”’
Apply with me3 lessons
  • Idea and search strategy๐Ÿ”’
  • search PubMed, google scholar, science direct๐Ÿ”’
  • filtration on rayyan๐Ÿ”’