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Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement
16 references·1 citing·44 second hopsampled
Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement (2023)Systematic metareview of prediction studi…The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An…Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting (2021)Machine learning prediction m…Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination (2021)Large-scale validation of the…Appraising prediction research: a guide and meta‐review on bias and applicability assessment using the Prediction model Risk Of Bias ASsessment Tool (PROBAST) (2021)Appraising prediction researc…RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)RoB 2: a revised tool for ass…Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration (2018)Reporting Recommendations for…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): 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…Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration (2012)Reporting recommendations for…Interrater agreement and interrater reliability: Key concepts, approaches, and applications (2012)Interrater agreement and inte…Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups (2007)Consolidated criteria for rep…REporting recommendations for tumour MARKer prognostic studies (REMARK) (2005)REporting recommendations for…The use of the Tobit model for analyzing measures of health status (2000)The use of the Tobit model fo…The Measurement of Observer Agreement for Categorical Data (1977)The Measurement of Observer A…Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application (2025)Assessing the quality of pred…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)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)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)A catalogue of reporting guidelines for health research (2009)Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration (2012)A guide to systematic review and meta-analysis of prognostic factor studies (2019)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)Assessment of transparency indicators across the biomedical literature: How open is open? (2021)Reasons for Taking the COVID-19 Vaccine by US Social Media Users (2021)Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records (2022)A Coefficient of Agreement for Nominal Scales (1960)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)A comparison of Cohen’s Kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples (2013)The safety of health care for ethnic minority patients: a systematic review (2020)Where Do Models for Change Management, Improvement and Implementation Meet? A Systematic Review of the Applications of Change Management Models in Healthcare (2021)Handbook of Qualitative Research (1994)Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study (2013)Standards for Reporting Qualitative Research (2014)Thematic Analysis (2017)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): Initial Reliability and Validity Data (1997)The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. (1998)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)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)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)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)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance (2021)The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review (2021)How to conduct systematic literature reviews in management research: a guide in 6 steps and 14 decisions (2023)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)
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References

  • 1977The Measurement of Observer Agreement for Categorical Data81,000 cited
  • 2007Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups42,389 cited
  • 2019RoB 2: a revised tool for assessing risk of bias in randomised trials33,067 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration5,114 cited
  • 2021The PRISMA 2020 statement: An updated guideline for reporting systematic reviews4,227 cited
  • 2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies2,953 cited
  • 2018PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration1,663 cited
  • 2005REporting recommendations for tumour MARKer prognostic studies (REMARK)1,391 cited
  • 2012Interrater agreement and interrater reliability: Key concepts, approaches, and applications921 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement885 cited
  • 2018Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration488 cited
  • 2012Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration374 cited
  • 2000The use of the Tobit model for analyzing measures of health status

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266 cited
  • 2021Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting80 cited
  • 2021Appraising prediction research: a guide and meta‐review on bias and applicability assessment using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)73 cited
  • 2021Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination65 cited
  • Cited by

    • 2025Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application16 cited