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Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
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Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist (2025)Transparent Reporting of AI in Systematic…Transforming literature screening: The emerging role of large language models in systematic reviews (2025)Transforming literature scree…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…Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation (2025)Enhancing systematic literatu…TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)TRIPOD+AI statement: updated …The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension (2020)Reporting guidelines for clin…Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension (2020)Guidelines for clinical trial…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…Systematic Literature Reviews in Engineering Education and Other Developing Interdisciplinary Fields (2014)Systematic Literature Reviews…Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness (2003)Three Approaches to Qualitative Content Analysis (2005)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)A systematic review of research on the flipped learning method in engineering education (2017)Forms of implementation and challenges of PBL in engineering education: a review of literature (2020)Sample Selection in Systematic Literature Reviews of Management Research (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)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)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. 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Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)CONSORT 2010 Explanation and Elaboration: updated guidelines for reporting parallel group randomised trials (2010)Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol (2021)Bias in artificial intelligence algorithms and recommendations for mitigation (2023)The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence (2025)Guidance for Developers of Health Research Reporting Guidelines (2010)SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials (2013)SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials (2013)Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines (2021)ESMO Guidance for Reporting Oncology real-World evidence (GROW) (2023)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations (2024)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Cochrane Handbook for Systematic Reviews of Interventions (2019)Single screening versus conventional double screening for study selection in systematic reviews: a methodological systematic review (2019)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)Artificial intelligence for the science of evidence synthesis: how good are AI-powered tools for automatic literature screening? (2025)Large Language Models in Systematic Review Screening: Opportunities, Challenges, and Methodological Considerations (2025)Testing the utility of GPT for title and abstract screening in environmental systematic evidence synthesis (2025)Systematic Reviews: Rationale for systematic reviews (1994)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Chapter 11: Scoping reviews (2019)Accelerating clinical evidence synthesis with large language models (2025)Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP) (2026)Bias, prevalence and kappa (1993)Interrater reliability: the kappa statistic (2012)Artificial Intelligence Tools for Automating Evidence Synthesis: Scoping Review (2025)Harnessing Large‐Language Models for Efficient Data Extraction in Systematic Reviews: The Role of Prompt Engineering (2025)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2024TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods4,531 cited
  • 2020Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension1,396 cited
  • 2014Systematic Literature Reviews in Engineering Education and Other Developing Interdisciplinary Fields622 cited
  • 2020Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension460 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
  • 2025Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review146 cited
  • 2025Transforming literature screening: The emerging role of large language models in systematic reviews86 cited
  • 2025Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation68 cited

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