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CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models
4 references·3 citing·31 second hop
CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models (2023)CHARMS and PROBAST at your fingertips: a …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…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) (2015)Transparent Reporting of a mu…Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014)Critical Appraisal and Data E…Digital Tools to Support the Systematic Review Process: An Introduction (2025)Digital Tools to Support the …Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer (2024)Using meta-analysis and CNN-N…Systematic reviewers used various approaches to data extraction and expressed several research needs: a survey (2023)Systematic reviewers used var…Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK) (2005)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Assessing the Risk of Bias of Individual Studies in Systematic Reviews of Health Care Interventions (2017)Recommendations for assessing the risk of bias in systematic reviews of health-care interventions (2017)Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques (2020)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)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)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)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)Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) (2004)The qualitative content analysis process (2008)Cochrane Handbook for Systematic Reviews of Interventions (2020)Reviews and Reviewing: Approaches to Research Synthesis. An Annual Review of Information Science and Technology (ARIST) paper (2023)Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI (2026)Measuring inconsistency in meta-analyses (2003)Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide (2014)Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry (2017)Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews (2020)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Guidance to undertaking systematic evidence maps (2025)Artificial Intelligence in Literature Review Synthesis: A Step-by-Step Methodological Approach for Researchers and Academics (2026)
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References

  • 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

Cited by

  • 2025Digital Tools to Support the Systematic Review Process: An Introduction22 cited
  • 2023Systematic reviewers used various approaches to data extraction and expressed several research needs: a survey19 cited
  • 2024Using meta-analysis and CNN-NLP to review and classify the medical literature for normal tissue complication probability in head and neck cancer15 cited

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