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Methodological quality assessment tools for diagnosis and prognosis research: overview and guidance
16 references·1 citing·35 second hopsampled
Methodological quality assessment tools for diagnosis and prognosis research: overview and guidance (2024)Methodological quality assessment tools f…QUAPAS: An Adaptation of the QUADAS-2 Tool to Assess Prognostic Accuracy Studies (2022)QUAPAS: An Adaptation of the …QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies (2021)QUADAS-C: A Tool for Assessin…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…Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better? (2020)Methodological quality (risk …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…A proposed framework for developing quality assessment tools (2017)A proposed framework for deve…ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions (2016)ROBINS-I: a tool for assessin…The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta‐analysis, and clinical practice guideline: a systematic review (2015)The methodological quality as…Assessing Bias in Studies of Prognostic Factors (2013)Assessing Bias in Studies of …QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (2011)QUADAS-2: A Revised Tool for …To Explain or to Predict? (2010)To Explain or to Predict?QUADOMICS: An adaptation of the Quality Assessment of Diagnostic Accuracy Assessment (QUADAS) for the evaluation of the methodological quality of studies on the diagnostic accuracy of ‘-omics’-based technologies (2008)QUADOMICS: An adaptation of t…Evidence of bias and variation in diagnostic accuracy studies (2006)Evidence of bias and variatio…A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools (2005)A systematic review finds tha…The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews (2003)The development of QUADAS: a …PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)PROBAST+AI: an updated qualit…The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses (2014)Effects of music interventions on stress-related outcomes: a systematic review and two meta-analyses (2019)Anxiety, depression, trauma-related, and sleep disorders among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis (2021)Qualitative Research: Consensus methods for medical and health services research (1995)The Hazards of Scoring the Quality of Clinical Trials for Meta-analysis (1999)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Health Measurement Scales: A Practical Guide to Their Development and Use (1989)Empirical Evidence of Bias (1995)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)SYRCLE’s risk of bias tool for animal studies (2014)AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both (2017)The Measurement of Observer Agreement for Categorical Data (1977)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)Cochrane Handbook for Systematic Reviews of Interventions (2010)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)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Specification Tests in Econometrics (1978)Common risk factors in the returns on stocks and bonds (1993)An updated and expanded assessment of PLS-SEM in information systems research (2017)When to use and how to report the results of PLS-SEM (2018)Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)The mental health of healthcare workers in the COVID-19 pandemic: A systematic review (2020)Cognitive behavioral therapy for insomnia in patients with mental disorders and comorbid insomnia: A systematic review and meta-analysis (2022)The Cochrane risk of bias assessment tool 2 (RoB 2) versus the original RoB: A perspective on the pros and cons (2024)Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist (2014)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)Adherence to TRIPOD+AI guideline: an updated reporting assessment tool (2025)The ethics of data mining in healthcare: challenges, frameworks, and future directions (2025)A comprehensive introspection on AI risks: taxonomy, challenges, and future directions (2026)
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References

  • 2016ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions20,711 cited
  • 2011QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies14,549 cited
  • 2003The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews3,593 cited
  • 2013Assessing Bias in Studies of Prognostic Factors3,321 cited
  • 2010To Explain or to Predict?3,127 cited
  • 2018PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies3,114 cited
  • 2015The methodological quality assessment tools for preclinical and clinical studies, systematic review and meta‐analysis, and clinical practice guideline: a systematic review2,082 cited
  • 2018PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration1,694 cited
  • 2020Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better?1,686 cited
  • 2006Evidence of bias and variation in diagnostic accuracy studies612 cited
  • 2021QUADAS-C: A Tool for Assessing Risk of Bias in Comparative Diagnostic Accuracy Studies336 cited
  • 2017A proposed framework for developing quality assessment tools142 cited
  • 2022QUAPAS: An Adaptation of the QUADAS-2 Tool to Assess Prognostic Accuracy Studies102 cited

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2008
QUADOMICS: An adaptation of the Quality Assessment of Diagnostic Accuracy Assessment (QUADAS) for the evaluation of the methodological quality of studies on the diagnostic accuracy of ‘-omics’-based technologies
101 cited
  • 2005A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools79 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
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    • 2025PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods1,283 cited