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Utilizing ChatGPT to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation
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Utilizing ChatGPT to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation (2023)Utilizing ChatGPT to select literature fo…Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records (2023)Performance of active learnin…Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? (2023)Can ChatGPT Write a Good Bool…Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study (2022)Artificial intelligence in CO…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews (2020)The semi-automation of title …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…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 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)Cochrane Handbook for Systematic Reviews of Interventions (2010)A scoping review of rapid review methods (2015)AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both (2017)In‐depth evaluation of machine learning methods for semi‐automating article screening in a systematic review of mechanistic literature (2022)An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review (2024)Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews (2024)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)Cochrane Handbook for Systematic Reviews of Interventions (2019)Assessing the Integrity of Clinical Trials Included in Evidence Syntheses (2023)Guidance on conducting methodological studies – an overview (2023)Utilizing Large language models to select literature for meta-analysis shows workload reduction while maintaining a similar recall level as manual curation (2025)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Rayyan—a web and mobile app for systematic reviews (2016)An open source machine learning framework for efficient and transparent systematic reviews (2021)Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles? (2023)Utilizing ASReview in screening primary studies for meta-research in SLA: A step-by-step tutorial (2024)The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence (2026)The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review (2018)A full systematic review was completed in 2 weeks using automation tools: a case study (2020)Improving the translation of search strategies using the Polyglot Search Translator: a randomized controlled trial (2020)AI for social science and social science of AI: A survey (2024)How to search for literature in systematic reviews and meta-analyses: A comprehensive step-by-step guide (2024)Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain (2024)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2017Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry733 cited
  • 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?205 cited
  • 2023Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records96 cited
  • 2020The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews80 cited
  • 2022Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study24 cited

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