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Accuracy of large language models in data extraction from randomized controlled trials in sleep medicine: A proof-of-concept study
16 references·0 citing·57 second hopsampled
Accuracy of large language models in data extraction from randomized controlled trials in sleep medicine: A proof-of-concept study (2025)Accuracy of large language models in data…Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review (2025)Large language models for con…Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study (2024)Data extraction for evidence …Can large language models replace humans in systematic reviews? Evaluating GPT ‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages (2024)Can large language models rep…Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models (2024)Assessing the Risk of Bias in…Using artificial intelligence methods for systematic review in health sciences: A systematic review (2022)Using artificial intelligence…Machine learning computational tools to assist the performance of systematic reviews: A mapping review (2022)Machine learning computationa…Tools to support the automation of systematic reviews: a scoping review (2021)Tools to support the automati…Toward systematic review automation: a practical guide to using machine learning tools in research synthesis (2019)Toward systematic review auto…Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)Systematic review or scoping …Meta-analysis and the science of research synthesis (2018)Meta-analysis and the science…Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review (2018)Dealing with missing standard…Frequency of data extraction errors and methods to increase data extraction quality: a methodological review (2017)Frequency of data extraction …European guideline for the diagnosis and treatment of insomnia (2017)European guideline for the di…Clinical Practice Guideline for the Pharmacologic Treatment of Chronic Insomnia in Adults: An American Academy of Sleep Medicine Clinical Practice Guideline (2017)Clinical Practice Guideline f…Automating data extraction in systematic reviews: a systematic review (2015)Automating data extraction in…DSM-5 Field Trials in the United States and Canada, Part II: Test-Retest Reliability of Selected Categorical Diagnoses (2013)DSM-5 Field Trials in the Uni…Improving the quality of reporting of randomized controlled trials. 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(2017)The International Classification of Sleep Disorders (1991)Epidemiology of insomnia: what we know and what we still need to learn (2002)Insomnia as a predictor of depression: A meta-analytic evaluation of longitudinal epidemiological studies (2011)Depression in sleep disturbance: A review on a bidirectional relationship, mechanisms and treatment (2019)Sleep, insomnia, and depression (2019)Behavioral and psychological treatments for chronic insomnia disorder in adults: an American Academy of Sleep Medicine clinical practice guideline (2020)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Manual of Mental Disorders (2013)Insomnia as a predictor of mental disorders: A systematic review and meta-analysis (2018)Dealing with sleep problems during home confinement due to the COVID‐19 outbreak: Practical recommendations from a task force of the European CBT‐I Academy (2020)Sleep disturbance and psychiatric disorders (2020)Expediting systematic reviews: methods and implications of rapid reviews (2010)Guidance for conducting systematic scoping reviews (2015)The Joanna Briggs Institute reviewers' manual 2015: methodology for JBI scoping reviews (2015)Musculoskeletal pain and sedentary behaviour in occupational and non-occupational settings: a systematic review with meta-analysis (2021)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)A tale of two databases: the use of Web of Science and Scopus in academic papers (2020)Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas (2021)Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas (2021)Estimating the mean and variance from the median, range, and the size of a sample (2005)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (2014)Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis (2021)Effects of non-pharmacological interventions on loneliness among community-dwelling older adults: A systematic review, network meta-analysis, and meta-regression (2023)Ten circumstances and solutions for finding the sample mean and standard deviation for meta-analysis (2023)Scoping studies: towards a methodological framework (2005)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Updated methodological guidance for the conduct of scoping reviews (2020)Updated methodological guidance for the conduct of scoping reviews (2021)Recommendations for the extraction, analysis, and presentation of results in scoping reviews (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)Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Automation of systematic literature reviews: A systematic literature review (2021)A declaração PRISMA 2020: diretriz atualizada para relatar revisões sistemáticas (2022)Meta‐analysis and traditional systematic literature reviews—What, why, when, where, and how? (2022)A Coefficient of Agreement for Nominal Scales (1960)Interrater reliability: the kappa statistic (2012)Summarizing systematic reviews (2015)Generative artificial intelligence use in evidence synthesis: A systematic review (2025)The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review (2025)Transforming literature screening: The emerging role of large language models in systematic reviews (2025)
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References

  • 2018Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach11,351 cited
  • 2017European guideline for the diagnosis and treatment of insomnia2,049 cited
  • 2018Meta-analysis and the science of research synthesis1,700 cited
  • 2017Clinical Practice Guideline for the Pharmacologic Treatment of Chronic Insomnia in Adults: An American Academy of Sleep Medicine Clinical Practice Guideline1,517 cited
  • 2013DSM-5 Field Trials in the United States and Canada, Part II: Test-Retest Reliability of Selected Categorical Diagnoses1,163 cited
  • 2019Toward systematic review automation: a practical guide to using machine learning tools in research synthesis635 cited
  • 2018Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review426 cited
  • 2015Automating data extraction in systematic reviews: a systematic review286 cited
  • 2024Can large language models replace humans in systematic reviews? Evaluating GPT ‐4's efficacy in screening and extracting data from peer‐reviewed and grey literature in multiple languages266 cited
  • 2017Frequency of data extraction errors and methods to increase data extraction quality: a methodological review229 cited
  • 2022Using artificial intelligence methods for systematic review in health sciences: A systematic review222 cited
  • 2021Tools to support the automation of systematic reviews: a scoping review189 cited
  • 2024

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Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study
172 cited
  • 2025Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review146 cited
  • 2024Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models102 cited
  • 2022Machine learning computational tools to assist the performance of systematic reviews: A mapping review85 cited
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