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Automating Risk of Bias Assessment for Clinical Trials
12 references·13 citing·50 second hop
Automating Risk of Bias Assessment for Clinical Trials (2015)Automating Risk of Bias Assessment for Cl…Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews (2013)Pinpointing needles in giant …Incorporation of assessments of risk of bias of primary studies in systematic reviews of randomised trials: a cross-sectional study (2013)Incorporation of assessments …Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies. (2012)Influence of reported study d…Deploying an interactive machine learning system in an evidence-based practice center (2012)Deploying an interactive mach…A Web-based archive of systematic review data (2012)A Web-based archive of system…The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Cochrane Collaboration's …Towards Automating the Initial Screening Phase of a Systematic Review (2010)Towards Automating the Initia…Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? (2010)Seventy-Five Trials and Eleve…Risk of bias versus quality assessment of randomised controlled trials: cross sectional study (2009)Risk of bias versus quality a…Reducing Workload in Systematic Review Preparation Using Automated Citation Classification (2005)Reducing Workload in Systemat…Systematic Reviews: Critical Links in the Great Chain of Evidence (1997)Systematic Reviews: Critical …Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)Assessing the quality of repo…Digital Tools to Support the Systematic Review Process: An Introduction (2025)Digital Tools to Support the …Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials (2024)Zero‐ and few‐shot prompting …Machine Learning Methods for Systematic Reviews:: A Rapid Scoping Review. (2023)Machine Learning Methods for …Automating Systematic Literature Reviews with Natural Language Processing and Text Mining: A Systematic Literature Review (2023)Automating Systematic Literat…Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study (2023)Automating Quality Assessment…Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area (2023)Analysis of predictive perfor…Identifying unreported links between ClinicalTrials.gov trial registrations and their published results (2021)Identifying unreported links …Determining the biases and consistencies in the evidence for conservation (2021)Determining the biases and co…Is it time for computable evidence synthesis? (2020)Is it time for computable evi…Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study (2020)Deep Neural Network for Reduc…Challenges and recommendations on the conduct of systematic reviews of observational epidemiologic studies in environmental and occupational health (2020)Challenges and recommendation…Machine learning techniques for the automation of literature reviews and systematic reviews in EFSA (2018)Machine learning techniques f…Making research articles fit for purpose: structured reporting of key methods and findings (2015)Making research articles fit …Scoping studies: towards a methodological framework (2005)Nudge: improving decisions about health, wealth, and happiness (2008)Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews (2016)Prioritising references for systematic reviews with RobotAnalyst: A user study (2018)Cochrane Handbook for Systematic Reviews of Interventions (2020)SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation (2020)The American Heritage Word Frequency Book (1973)Developing Optimal Search Strategies for Detecting Clinically Sound Studies in MEDLINE (1994)Semi-automated screening of biomedical citations for systematic reviews (2010)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)Intraclass correlations: Uses in assessing rater reliability. 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References

  • 2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials33,776 cited
  • 1996Assessing the quality of reports of randomized clinical trials: Is blinding necessary?17,580 cited
  • 2010Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?1,185 cited
  • 2012Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies.668 cited
  • 2012Deploying an interactive machine learning system in an evidence-based practice center530 cited
  • 2005Reducing Workload in Systematic Review Preparation Using Automated Citation Classification410 cited
  • 2009Risk of bias versus quality assessment of randomised controlled trials: cross sectional study348 cited
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  • 2013Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews170 cited
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  • 2013Incorporation of assessments of risk of bias of primary studies in systematic reviews of randomised trials: a cross-sectional study66 cited
  • 2010Towards Automating the Initial Screening Phase of a Systematic Review60 cited

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  • 2018Machine learning techniques for the automation of literature reviews and systematic reviews in EFSA

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36 cited
  • 2020Challenges and recommendations on the conduct of systematic reviews of observational epidemiologic studies in environmental and occupational health36 cited
  • 2023Automating Systematic Literature Reviews with Natural Language Processing and Text Mining: A Systematic Literature Review33 cited
  • 2024Zero‐ and few‐shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials28 cited
  • 2015Making research articles fit for purpose: structured reporting of key methods and findings28 cited
  • 2025Digital Tools to Support the Systematic Review Process: An Introduction22 cited
  • 2020Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study22 cited
  • 2023Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study18 cited
  • 2020Is it time for computable evidence synthesis?16 cited
  • 2021Determining the biases and consistencies in the evidence for conservation15 cited
  • 2023Analysis of predictive performance and reliability of classifiers for quality assessment of medical evidence revealed important variation by medical area13 cited
  • 2021Identifying unreported links between ClinicalTrials.gov trial registrations and their published results9 cited
  • 2023Machine Learning Methods for Systematic Reviews:: A Rapid Scoping Review.7 cited