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Machine learning to assist risk-of-bias assessments in systematic reviews
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Machine learning to assist risk-of-bias assessments in systematic reviews (2015)Machine learning to assist risk-of-bias a…RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials (2015)RobotReviewer: evaluation of …Systematic review automation technologies (2014)Systematic review automation …Poor Reliability between Cochrane Reviewers and Blinded External Reviewers When Applying the Cochrane Risk of Bias Tool in Physical Therapy Trials (2014)Poor Reliability between Coch…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)Evaluation of the Cochrane Co…Rapid evidence assessments of research to inform social policy: taking stock and moving forward (2013)Rapid evidence assessments of…Testing the Risk of Bias tool showed low reliability between individual reviewers and across consensus assessments of reviewer pairs (2012)Testing the Risk of Bias tool…The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Cochrane Collaboration's …Applications of text mining within systematic reviews (2011)Applications of text mining w…The quality of reports of randomised trials in 2000 and 2006: comparative study of articles indexed in PubMed (2010)The quality of reports of ran…Semi-automated screening of biomedical citations for systematic reviews (2010)Semi-automated screening of b…A new algorithm for reducing the workload of experts in performing systematic reviews (2010)A new algorithm for reducing …Supporting Systematic Reviews Using Text Mining (2009)Supporting Systematic Reviews…Risk of bias versus quality assessment of randomised controlled trials: cross sectional study (2009)Risk of bias versus quality a…Cochrane Handbook for Systematic Reviews of Interventions (2008)Cochrane Handbook for Systema…Reducing Workload in Systematic Review Preparation Using Automated Citation Classification (2005)Reducing Workload in Systemat…Comparison of descriptions of allocation concealment in trial protocols and the published reports: cohort study (2005)Comparison of descriptions of…Digital Tools to Support the Systematic Review Process: An Introduction (2025)Digital Tools to Support the …Data extraction methods for systematic review (semi)automation: Update of a living systematic review (2025)Data extraction methods for s…Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed (2024)Automation of systematic revi…The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review (2023)The use of artificial intelli…Data extraction methods for systematic review (semi)automation: Update of a living systematic review (2023)Data extraction methods for s…A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses (2023)A narrative review of recent …Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis (2022)Automated medical literature …Risk of bias assessment in preclinical literature using natural language processing (2021)Risk of bias assessment in pr…Is Trauma Focused-Cognitive Behavioral Therapy (TF-CBT) Effective in Reducing Trauma Symptoms among Traumatized Refugee Children? A Systematic Review (2021)Is Trauma Focused-Cognitive B…Future of evidence ecosystem series: 2. current opportunities and need for better tools and methods (2020)Future of evidence ecosystem …Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews (2020)Adjudication rather than expe…Improving reference prioritisation with PICO recognition (2019)Improving reference prioritis…A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews (2019)A randomized trial provided n…Machine learning techniques for the automation of literature reviews and systematic reviews in EFSA (2018)Machine learning techniques f…Features and functioning of D ata A bstraction A ssistant, a software application for data abstraction during systematic reviews (2018)Features and functioning of D…Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool (2017)Technology-assisted risk of b…Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The American Heritage Word Frequency Book (1973)Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINE (1994)Automating data extraction in systematic reviews: a systematic review (2015)Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)The diffusion of innovations (1983)Methods for the thematic synthesis of qualitative research in systematic reviews (2008)Reducing systematic review workload through certainty-based screening (2014)Diffusion of Innovations 1 (2019)A scoping review of machine learning in psychotherapy research (2020)Effective Teacher Professional Development: New Theory and a Meta-Analytic Test (2023)The Measurement of Observer Agreement for Categorical Data (1977)Meta-analysis in clinical trials (1986)Measuring inconsistency in meta-analyses (2003)Development of the Anatomical Quality Assessment (AQUA) Tool for the quality assessment of anatomical studies included in meta‐analyses and systematic reviews (2016)Improving the quality of reporting of randomized controlled trials. The CONSORT statement (1996)Assessing the quality of controlled clinical trials (2001)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)CONSORT 2010 Statement (2010)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomized trials. (2010)Effect of Preventive Interventions in Mentally Ill Parents on the Mental Health of the Offspring: Systematic Review and Meta-Analysis (2011)Formulating Questions and Locating Primary Studies for Inclusion in Systematic Reviews (1997)Living systematic reviews: 2. Combining human and machine effort (2017)Bias in meta-analysis detected by a simple, graphical test (1997)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)An automated approach to identifying search terms for systematic reviews using keyword co‐occurrence networks (2019)Fact or Fiction: Verifying Scientific Claims (2020)Automation of systematic literature reviews: A systematic literature review (2021)The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses (2014)The risk of bias in observational studies of exposures (ROBINS-E) tool: concerns arising from application to observational studies of exposures (2018)Classical psychedelics for the treatment of depression and anxiety: A systematic review (2019)Using Risk of Bias 2 to assess results from randomised controlled trials: guidance from Cochrane (2023)Chapter 8: Assessing risk of bias in included studies (2008)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)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)
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References

  • 2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials33,776 cited
  • 2008Cochrane Handbook for Systematic Reviews of Interventions25,045 cited
  • 2010The quality of reports of randomised trials in 2000 and 2006: comparative study of articles indexed in PubMed503 cited
  • 2014Systematic review automation technologies471 cited
  • 2005Reducing Workload in Systematic Review Preparation Using Automated Citation Classification410 cited
  • 2010Semi-automated screening of biomedical citations for systematic reviews351 cited
  • 2009Risk of bias versus quality assessment of randomised controlled trials: cross sectional study348 cited
  • 2014Evaluation of the Cochrane Collaboration’s tool for assessing the risk of bias in randomized trials: focus groups, online survey, proposed recommendations and their implementation340 cited
  • 2015RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials316 cited
  • 2011Applications of text mining within systematic reviews212 cited
  • 2005Comparison of descriptions of allocation concealment in trial protocols and the published reports: cohort study209 cited
  • 2012Testing the Risk of Bias tool showed low reliability between individual reviewers and across consensus assessments of reviewer pairs174 cited
  • 2009Supporting Systematic Reviews Using Text Mining144 cited

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2014
Poor Reliability between Cochrane Reviewers and Blinded External Reviewers When Applying the Cochrane Risk of Bias Tool in Physical Therapy Trials
124 cited
  • 2013Rapid evidence assessments of research to inform social policy: taking stock and moving forward109 cited
  • 2010A new algorithm for reducing the workload of experts in performing systematic reviews100 cited
  • Cited by

    • 2023The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review64 cited
    • 2022Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis62 cited
    • 2019Improving reference prioritisation with PICO recognition62 cited
    • 2017Technology-assisted risk of bias assessment in systematic reviews: a prospective cross-sectional evaluation of the RobotReviewer machine learning tool54 cited
    • 2019A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews54 cited
    • 2021Is Trauma Focused-Cognitive Behavioral Therapy (TF-CBT) Effective in Reducing Trauma Symptoms among Traumatized Refugee Children? A Systematic Review53 cited
    • 2024Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed48 cited
    • 2023Data extraction methods for systematic review (semi)automation: Update of a living systematic review44 cited
    • 2018Machine learning techniques for the automation of literature reviews and systematic reviews in EFSA36 cited
    • 2020Future of evidence ecosystem series: 2. current opportunities and need for better tools and methods36 cited
    • 2021Risk of bias assessment in preclinical literature using natural language processing36 cited
    • 2023A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses31 cited
    • 2025Data extraction methods for systematic review (semi)automation: Update of a living systematic review26 cited
    • 2020Adjudication rather than experience of data abstraction matters more in reducing errors in abstracting data in systematic reviews26 cited
    • 2025Digital Tools to Support the Systematic Review Process: An Introduction22 cited
    • 2018Features and functioning of D ata A bstraction A ssistant, a software application for data abstraction during systematic reviews20 cited