TRIPOD 2015 Checklist

Scope: The Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Statement was developed to improve the quality of reporting in studies that develop, validate, or update prediction models.

Reference: See source/archetypes/tripod-2015.yml for canonical link and provenance.

Instructions

• Use task list items for checklist boxes; these become interactive checkboxes in PDF.
• Use a span with class .textfield for free‑text fields.

Title and Abstract

• 1. Title: Identify the study as one that develops, validates, or updates a multivariable prediction model, specify the target population, and the outcome to be predicted.
• 2. Abstract: Provide a summary of the objectives, study design, setting, participants, sample size, predictors, outcome, statistical analysis, results, and conclusions.

Introduction

• 3. Background and Objectives: Explain the medical context and rationale for the study, including references to existing models.

Methods

• 4. Source of data: Describe the study design and key elements of the study setting.
• 5. Participants: Describe the eligibility criteria for participants.
• 6. Outcome: Clearly define the outcome that is predicted by the model, including how and when it was assessed.
• 7. Predictors: Clearly define all predictors used in the model, including how and when they were measured.
• 8. Sample size: Explain how the study size was determined.
• 9. Missing data: Describe how missing data were handled.
• 10. Statistical analysis methods: Describe how predictors were handled in the analyses.
• 11. Model development: Specify the type of model, all model-building procedures, and the method for internal validation.
• 12. Model performance: Specify all measures used to assess model performance and, if relevant, to compare multiple models.

Results

• 13. Participants: Describe the flow of participants through the study.
• 14. Model development: Specify the number of participants and outcome events in each analysis.
• 15. Model specification: Present the full prediction model for use by others.
• 16. Model performance: Report performance measures for the prediction model.
• 17. Model validation: For validation, describe how the predictions were calculated and report the results.

Discussion

• 18. Limitations: Discuss any limitations of the study.
• 19. Interpretation: Give an overall interpretation of the results, considering objectives, limitations, and other relevant evidence.
• 20. Implications: Discuss the implications for practice and research.

Other Information

• 21. Supplementary information: Provide information about the availability of supplementary resources.
• 22. Funding: Disclose the source of funding and the role of the funders.

Notes

Provenance

• Source: See sidecar metadata in source/archetypes/tripod-2015.yml
• Version: 2015
• License: Custom; see website