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Systematic Review: PRISMA 2020

Regular literature reviews are simply summaries of the literature on a particular topic. A systematic review, however, is a comprehensive literature review conducted to answer a specific research question. Authors of a systematic review aim to find, code, appraise, and synthesize all of the previous research on their question in an unbiased and well-documented manner. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) outline the minimum amount of information that needs to be reported at the conclusion of a systematic review project.

Other types of what are known as "evidence syntheses," such as scoping, rapid, and integrative reviews, have varying methodologies. While systematic reviews originated with and continue to be a popular publication type in medicine and other health sciences fields, more and more researchers in other disciplines are choosing to conduct evidence syntheses.

Which PRISMA 2020 Flow Diagram should I use?

In PRISMA 2020, there are now expanded options depending on where you search and whether you are updating a review. Version 1 of PRISMA 2020 includes databases and clinical trial or preprint registers. Version 2 includes additional sections for elaborating on your grey literature search, such as searches on websites or in citation lists. Both versions are available for new and updated reviews from the Equator Network's PRISMA Flow Diagram page.

PRISMA Key Documents

Title Document
PRISMA 2020 V1 - Databases and Registers
PRISMA 2020 V2 - Databases, Registers, and Grey Literature
PRISMA 2020 Checklist
PRISMA 2020 Expanded Checklist
PRISMA 2020 Statement
PRISMA 2020 Explanation and Elaboration

More info: Creating a PRISMA flow diagram

Materials: Li Jing

A Systematic Literature Review on Feature Selection for Machine Learning based Attack Classification for IoT Security

SLR concept

Awesome tools for systematic review

YouTube ChatGPT

ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques.

YouTube Elicit.org

Elicit is a research assistant using language models like GPT-3 to automate parts of researchers’ workflows. Currently, the main workflow in Elicit is Literature Review. If you ask a question, Elicit will show relevant papers and summaries of key information about those papers in an easy-to-use table.

YouTube SciSpace

SciSpace is the easiest way to find, understand, and learn any research paper. For every paper you read, get simple explanations and answers from AI and discover a network of connected and relevant papers — all in one place.

YouTube Lex.AI

YouTube Google Scholar and Zotero

VOSviewer is a software tool for constructing and visualizing bibliometric networks. These networks may for instance include journals, researchers, or individual publications, and they can be constructed based on citation, bibliographic coupling, co-citation, or co-authorship relations. VOSviewer also offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature.

Obtaining Content from Databases

Scopus

  • search by topic or desired publications
  • export citations in RIS format - limited to 2000 publications (may want to also select abstract field to be in export) OR
  • export citations in CSV format - include Citation information & Blibliographical information - may also include abstract and keywords if not selected - limited to 2000 publications

Web of Sciences

  • search by topic or desired publications
  • export citations in RIS format - limited to 1000 publications OR
  • export citations in tab delimited file

Sample SLR Articles

Contribution 🛠️

Please create an Issue for any improvements, suggestions or errors in the content.

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