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Refining Boolean queries to identify relevant studies for systematic review updates
11 references·1 citing·50 second hop
Refining Boolean queries to identify relevant studies for systematic review updates (2020)Refining Boolean queries to identify rele…The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials (2019)The significant cost of syste…Epidemiology and Reporting Characteristics of Systematic Reviews of Biomedical Research: A Cross-Sectional Study (2016)Epidemiology and Reporting Ch…Learning to identify relevant studies for systematic reviews using random forest and external information (2015)Learning to identify relevant…Reducing systematic review workload through certainty-based screening (2014)Reducing systematic review wo…Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining (2012)Toward modernizing the system…Studying the potential impact of automated document classification on scheduling a systematic review update (2012)Studying the potential impact…Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up? (2010)Seventy-Five Trials and Eleve…Semi-automated screening of biomedical citations for systematic reviews (2010)Semi-automated screening of b…How Quickly Do Systematic Reviews Go Out of Date? A Survival Analysis (2007)How Quickly Do Systematic Rev…Systematic reviews need systematic searchers. (2005)Systematic reviews need syste…Reducing Workload in Systematic Review Preparation Using Automated Citation Classification (2005)Reducing Workload in Systemat…An assessment of the quality of the search strategy: a case of bibliometric studies published in business and economics (2023)An assessment of the quality …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)Systematic Reviews: Synthesis of Best Evidence for Clinical Decisions (1997)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? 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(2009)Systematic literature review of built environment effects on physical activity and active transport – an update and new findings on health equity (2017)Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist (2020)MOOSE Reporting Guidelines for Meta-analyses of Observational Studies (2021)CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials (2010)Meta-analysis in clinical trials revisited (2015)Meta-analysis and the science of research synthesis (2018)Automation of duplicate record detection for systematic reviews: Deduplicator (2024)Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses (2024)Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews (2025)
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References

  • 2010Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?1,185 cited
  • 2007How Quickly Do Systematic Reviews Go Out of Date? A Survival Analysis837 cited
  • 2016Epidemiology and Reporting Characteristics of Systematic Reviews of Biomedical Research: A Cross-Sectional Study766 cited
  • 2005Reducing Workload in Systematic Review Preparation Using Automated Citation Classification410 cited
  • 2010Semi-automated screening of biomedical citations for systematic reviews351 cited
  • 2005Systematic reviews need systematic searchers.257 cited
  • 2014Reducing systematic review workload through certainty-based screening190 cited
  • 2019The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials151 cited
  • 2015Learning to identify relevant studies for systematic reviews using random forest and external information98 cited
  • 2012Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining62 cited
  • 2012Studying the potential impact of automated document classification on scheduling a systematic review update57 cited

Cited by

  • 2023An assessment of the quality of the search strategy: a case of bibliometric studies published in business and economics19 cited

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