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Living systematic reviews: aims and standards
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Living systematic reviews: aims and standards (2023)Living systematic reviews: aims and stand…Extension of the PRISMA 2020 statement for living systematic reviews (LSRs): protocol (2022)Extension of the PRISMA 2020 …Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system (2022)Automating risk of bias asses…Data extraction methods for systematic review (semi)automation: A living systematic review (2021)Data extraction methods for s…Reporting of systematic reviews and meta-analysis of observational studies (2020)Reporting of systematic revie…Systematic reviews of diagnostic test accuracy in CMI (2018)Systematic reviews of diagnos…Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide (2018)Machine learning for identify…Living systematic reviews: 3. Statistical methods for updating meta-analyses (2017)Living systematic reviews: 3.…Living systematic reviews: 2. Combining human and machine effort (2017)Living systematic reviews: 2.…Living systematic review: 1. Introduction—the why, what, when, and how (2017)Living systematic review: 1. …Improving the Quality of Reporting of Randomized Controlled Trials (1996)Improving the Quality of Reporting of Randomized Controlled Trials (1996)Cochrane Handbook for Systematic Reviews of Interventions (2010)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Cochrane Handbook for Systematic Reviews of Interventions (2008)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)Registration of systematic reviews in PROSPERO: 30,000 records and counting (2018)PRISMA2020 : An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis (2022)Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? (2010)Using text mining for study identification in systematic reviews: a systematic review of current approaches (2015)The development of software to support multiple systematic review types (2018)Searching for and selecting studies (2019)The ABC of systematic literature review: the basic methodological guidance for beginners (2020)Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis (2007)Apparently conclusive meta-analyses may be inconclusive—Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses (2008)Estimating required information size by quantifying diversity in random-effects model meta-analyses (2009)Assessing imprecision in Cochrane systematic reviews: a comparison of GRADE and Trial Sequential Analysis (2018)Living network meta-analysis compared with pairwise meta-analysis in comparative effectiveness research: empirical study (2018)A guide to prospective meta-analysis (2019)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (2018)Being a CMI editor (2019)Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy (2023)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses (2014)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)A Survey on Bias and Fairness in Machine Learning (2021)Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study (2024)Accelerating clinical evidence synthesis with large language models (2025)Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review (2025)The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations (2015)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)Conceptualizing the reporting of living systematic reviews (2023)The life and death of living systematic reviews: a methodological survey (2023)Extension of the PRISMA 2020 statement for living systematic reviews (PRISMA-LSR): checklist and explanation (2024)Doing qualitative research: a practical handbook (2011)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review (2023)An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review (2024)Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models (2024)
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References

  • 2017Living systematic review: 1. Introduction—the why, what, when, and how652 cited
  • 2018Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide433 cited
  • 2017Living systematic reviews: 2. Combining human and machine effort359 cited
  • 2017Living systematic reviews: 3. Statistical methods for updating meta-analyses148 cited
  • 2021Data extraction methods for systematic review (semi)automation: A living systematic review106 cited
  • 2022Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system68 cited
  • 2020Reporting of systematic reviews and meta-analysis of observational studies39 cited
  • 2022Extension of the PRISMA 2020 statement for living systematic reviews (LSRs): protocol24 cited
  • 2018Systematic reviews of diagnostic test accuracy in CMI17 cited

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