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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques
16 references·5 citing·28 second hopsampled
Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques (2020)Protocol for a systematic review on the m…Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies (2019)Uniformity in measuring adher…Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed (2019)Reporting guidelines for clin…PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies (2018)PROBAST: A Tool to Assess the…PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration (2018)PROBAST: A Tool to Assess Ris…Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement (2018)Poor reporting of multivariab…SWIFT-Review: a text-mining workbench for systematic review (2016)SWIFT-Review: a text-mining w…Rayyan—a web and mobile app for systematic reviews (2016)Rayyan—a web and mobile app f…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Transparent Reporting of a mu…Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement (2015)Transparent reporting of a mu…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Transparent Reporting of a mu…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) (2015)Transparent Reporting of a mu…Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)Preferred reporting items for…Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014)Critical Appraisal and Data E…Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews (2012)Search Filters for Finding Pr…The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Repo…The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Repo…Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models (2023)Systematic review finds “spin…Effectiveness of workplace exercise interventions in the treatment of musculoskeletal disorders in office workers: a systematic review (2022)Effectiveness of workplace ex…Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare (2021)Review of study reporting gui…COVID-19 and perinatal intimate partner violence: a cross-sectional survey of pregnant and postpartum individuals in the early stages of the COVID-19 pandemic (2021)COVID-19 and perinatal intima…Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review (2021)Completeness of reporting of …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. (2009)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)Bias in meta-analysis detected by a simple, graphical test (1997)Measuring inconsistency in meta-analyses (2003)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement (2015)What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences (2018)Cochrane Handbook for Systematic Reviews of Interventions (2010)QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? (2020)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies (2015)Model Cards for Model Reporting (2019)Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement (2021)The Measurement of Observer Agreement for Categorical Data (1977)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review (2019)An open source machine learning framework for efficient and transparent systematic reviews (2021)Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021)Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice (2020)Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence (2021)
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References

  • 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration28,094 cited
  • 2015Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement26,189 cited
  • 2016Rayyan—a web and mobile app for systematic reviews25,980 cited
  • 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration10,345 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration5,114 cited
  • 2015Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement3,296 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement3,229 cited
  • 2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies2,953 cited
  • 2014Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist2,012 cited
  • 2018PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration1,663 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD)492 cited
  • 2012Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews

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349 cited
  • 2016SWIFT-Review: a text-mining workbench for systematic review196 cited
  • 2018Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement147 cited
  • 2019Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed142 cited
  • 2019Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies112 cited
  • Cited by

    • 2021Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare66 cited
    • 2023Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models65 cited
    • 2022Effectiveness of workplace exercise interventions in the treatment of musculoskeletal disorders in office workers: a systematic review52 cited
    • 2021COVID-19 and perinatal intimate partner violence: a cross-sectional survey of pregnant and postpartum individuals in the early stages of the COVID-19 pandemic35 cited
    • 2021Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review14 cited