Research map: Incomplete Reporting Persists in Orthopedic Machine Learning Models: A Systematic Review of TRIPOD and TRIPOD+AI Reporting Completeness

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Papers in this map

  1. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews · Matthew James Page · 2021 · 106363 citations · Cited by this paper
  2. A Novel Multi-Stream Triangulation Method to Define Decision Thresholds for Clinical Practice Guidelines A Canadian Association of Gastroenterology Consensus Report · 2026 · Related
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  5. Decision Curve Analysis: A Novel Method for Evaluating Prediction Models · Andrew Julian Vickers · 2006 · 6232 citations · Cited by this paper
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  7. Assessing the Performance of Prediction Models · Ewout Willem Steyerberg · 2009 · 5185 citations · Cited by this paper
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  9. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods · Professor Gary S. Collins · 2024 · 3668 citations · Cited by this paper
  10. Rethinking the association between potentially inappropriate prescribing and mortality in older adults · 2026 · Related
  11. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies · Robert F. Wolff · 2018 · 2946 citations · Cited by this paper
  12. AI-enabled GRADE: How the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects · 2026 · Related
  13. Calculating the sample size required for developing a clinical prediction model · Richard D Riley · 2020 · 2858 citations · Cited by this paper
  14. From symbolic endorsement to system integration: reimagining traditional medicine for universal health coverage in Africa · 2026 · Related
  15. Calibration: the Achilles heel of predictive analytics · On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative · 2019 · 2416 citations · Cited by this paper
  16. Unpacking the black box - a questionnaire study of how medical journals identify and manage conflicts of interest of editors and peer reviewers · 2026 · Related
  17. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement · Professor Gary S. Collins · 2015 · 2017 citations · Cited by this paper
  18. Protocol for a CONSORT extension for reporting pragmatic and explanatory trials designed using the PRECIS tool (CONSORT-PRECIS) · 2026 · Related
  19. Decision curve analysis to evaluate the clinical benefit of prediction models · Andrew Julian Vickers · 2021 · 404 citations · Cited by this paper
  20. Calibration of Risk Prediction Models · Ben Van Calster · 2014 · 376 citations · Cited by this paper
  21. Reproducibility in machine learning for health research: Still a ways to go · Matthew B. A. McDermott · 2021 · 283 citations · Cited by this paper
  22. Stability of clinical prediction models developed using statistical or machine learning methods · Richard D Riley · 2023 · 196 citations · Cited by this paper
  23. Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) · Kym I E Snell · 2023 · 188 citations · Cited by this paper
  24. Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement · Pauline Heus · 2018 · 153 citations · Cited by this paper
  25. Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review · Constanza L. Andaur Navarro · 2022 · 130 citations · Cited by this paper
  26. Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data · Daniel George Hamilton · 2023 · 88 citations · Cited by this paper
  27. Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting · Olivier Quinten Groot · 2021 · 82 citations · Cited by this paper
  28. Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review · Olivier Quinten Groot · 2021 · 75 citations · Cited by this paper
  29. Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review · Anmol Warman · 2023 · 17 citations · Cited by this paper
  30. Increased endorsement of TRIPOD and other reporting guidelines by high impact factor journals: survey of instructions to authors · Pauline Heus · 2023 · 14 citations · Cited by this paper
  31. Do Prediction Models Do More Harm Than Good? · Rashmee U. Shah · 2022 · 12 citations · Cited by this paper
  32. Improvements Are Needed in the Adherence to the TRIPOD Statement for Clinical Prediction Models for Patients With Spinal Pain or Osteoarthritis: A Metaresearch Study · Daniel Feller · 2024 · 12 citations · Cited by this paper
  33. The reporting of prognostic prediction models for obstetric care was poor: a cross-sectional survey of 10-year publications · Chunrong Liu · 2023 · 5 citations · Cited by this paper
  34. Citation and adherence to TRIPOD guidelines by published radiological prognostic models: systematic review · Maira Hameed · 2025 · 5 citations · Cited by this paper
  35. Assessing adherence to TRIPOD+AI guidelines in machine learning models for predicting small for gestational age and fetal growth restriction: a systematic review · Giulia Zamagni · 2025 · 1 citation · Cited by this paper
  36. Machine learning-based COVID-19 prognostic models lag behind in reporting quality: findings from a TRIPOD/TRIPOD + AI systematic review · Ioannis Partheniadis · 2026 · 1 citation · Cited by this paper

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