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Digital Tools to Support the Systematic Review Process: An Introduction
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Digital Tools to Support the Systematic Review Process: An Introduction (2025)Digital Tools to Support the Systematic R…CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models (2023)CHARMS and PROBAST at your fi…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Considerations for conducting systematic reviews: evaluating the performance of different methods for de-duplicating references (2021)Considerations for conducting…SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation (2020)SWIFT-Active Screener: Accele…Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial (2020)Single-reviewer abstract scre…Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews (2020)Cochrane Rapid Reviews Method…An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes (2020)An evaluation of DistillerSR’…Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools (2019)Performance and usability of …Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool (2018)Technology-assisted title and…Four principles to make evidence synthesis more useful for policy (2018)Four principles to make evide…Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Analysis of the time and work…RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials (2015)RobotReviewer: evaluation of …Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers (2015)Faster title and abstract scr…Deploying an interactive machine learning system in an evidence-based practice center (2012)Deploying an interactive mach…Risk of bias versus quality assessment of randomised controlled trials: cross sectional study (2009)Risk of bias versus quality a…Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data (2009)Meta-Analyst: software for me…Guidance to undertaking systematic evidence maps (2025)Guidance to undertaking syste…Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error (2019)Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews (2022)The Measurement of Observer Agreement for Categorical Data (1977)Meta-analysis in clinical trials (1986)Measuring inconsistency in meta-analyses (2003)Evaluation of the Cochrane Collaboration’s tool for assessing the risk of bias in randomized trials: focus groups, online survey, proposed recommendations and their implementation (2014)Development of the Anatomical Quality Assessment (AQUA) Tool for the quality assessment of anatomical studies included in meta‐analyses and systematic reviews (2016)Design Patterns: Elements of Reusable Object-Oriented Software (1994)Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews (2005)Meta-DiSc: a software for meta-analysis of test accuracy data (2006)Prevalence of comorbid disorders in problem and pathological gambling: systematic review and meta‐analysis of population surveys (2010)Relationship of Sleep Duration With All‐Cause Mortality and Cardiovascular Events: A Systematic Review and Dose‐Response Meta‐Analysis of Prospective Cohort Studies (2017)Nurses' burnout and associated risk factors during the COVID‐19 pandemic: A systematic review and meta‐analysis (2021)Chapter 8: Assessing risk of bias in included studies (2008)Systematic review automation technologies (2014)Recommendations for assessing the risk of bias in systematic reviews of health-care interventions (2017)Considering bias and conflicts of interest among the included studies (2019)Artificial intelligence and the conduct of literature reviews (2021)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Interrater Reliability in Systematic Review Methodology: Exploring Variation in Coder Decision-Making (2018)Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)Evidence summaries: the evolution of a rapid review approach (2012)ROBIS: A new tool to assess risk of bias in systematic reviews was developed (2015)AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both (2017)Musculoskeletal pain and sedentary behaviour in occupational and non-occupational settings: a systematic review with meta-analysis (2021)The Impact of COVID-19 School Closure on Child and Adolescent Health: A Rapid Systematic Review (2021)Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study (2023)A typology of reviews: an analysis of 14 review types and associated methodologies (2009)PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement (2016)Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review (2020)A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being (2021)Mental Health of Children and Adolescents Amidst COVID-19 and Past Pandemics: A Rapid Systematic Review (2021)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews (2021)De-duplication of database search results for systematic reviews in EndNote (2016)Rayyan—a web and mobile app for systematic reviews (2016)Cochrane Handbook for Systematic Reviews of Interventions (2019)Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research (2022)Artificial intelligence in systematic reviews: promising when appropriately used (2023)Automation of duplicate record detection for systematic reviews: Deduplicator (2024)Online tools supporting the conduct and reporting of systematic reviews and systematic maps: a case study on CADIMA and review of existing tools (2018)Best practice guidelines for abstract screening large‐evidence systematic reviews and meta‐analyses (2019)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2020Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews1,141 cited
  • 2017Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry733 cited
  • 2009Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data659 cited
  • 2012Deploying an interactive machine learning system in an evidence-based practice center530 cited
  • 2009Risk of bias versus quality assessment of randomised controlled trials: cross sectional study348 cited
  • 2015RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials316 cited
  • 2021Considerations for conducting systematic reviews: evaluating the performance of different methods for de-duplicating references251 cited
  • 2020Single-reviewer abstract screening missed 13 percent of relevant studies: a crowd-based, randomized controlled trial206 cited
  • 2015Faster title and abstract screening? Evaluating Abstrackr, a semi-automated online screening program for systematic reviewers184 cited
  • 2018Four principles to make evidence synthesis more useful for policy157 cited
  • 2020SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation157 cited
  • 2018Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool

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148 cited
  • 2020An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes139 cited
  • 2019Performance and usability of machine learning for screening in systematic reviews: a comparative evaluation of three tools133 cited
  • 2023CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models124 cited
  • Cited by

    • 2025Guidance to undertaking systematic evidence maps11 cited