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Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies.

Fernanda Martins Dias Escaldelai1, Leandro Escaldelai2, Denise Pimentel Bergamaschi1

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This study introduces a web-based system for systematic reviews, streamlining duplicate article removal and eligibility analysis. The tool aids researchers in efficiently managing literature searches and reaching consensus on study selection.

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Area of Science:

  • Information Science
  • Medical Informatics
  • Research Methodology

Background:

  • Systematic reviews require rigorous screening of numerous articles.
  • Manual duplicate removal and eligibility assessment are time-consuming and prone to error.
  • Efficient tools are needed to support researchers in the initial stages of systematic reviews.

Purpose of the Study:

  • To describe the functionalities of the "Systematic Review Support" web-based system.
  • To highlight the system's capabilities in duplicate article removal and eligibility analysis.
  • To provide an overview of a tool designed to enhance systematic review efficiency.

Main Methods:

  • The system was developed using Agile methodology with an incremental build model.
  • It features a proprietary source code and is hosted on a proprietary platform.
  • The production environment architecture is scalable to meet demand, with PC interface screenshots provided.

Main Results:

  • The system imports abstracts from PubMed, Embase, and Web of Science, identifying and removing duplicates.
  • It facilitates independent reviewer analysis of titles and abstracts for eligibility.
  • Automated comparison of reviewer decisions aids consensus, with filtering and PDF export of eligible studies.

Conclusions:

  • Version 1.0 of the "Systematic Review Support" system is available online.
  • The system assists researchers in the critical initial phases of systematic reviews.
  • It offers a solution for efficient duplicate detection and eligibility screening.