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Table 1 TRIPOD adherence reporting items

From: Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review

Reporting Items

Study design

If applicable to studies

Reporting items for TRIPOD adherence

Development only

Development and validation

 1. Title

D, V

 

✓

✓

 2. Abstract

D, V

 

✓

✓

Introduction

 3. Background and objectives

  a. Context and rationale

D, V

 

✓

✓

  b. Objectives

D, V

 

✓

✓

Methods

 4. Source of data

  a. Source of data

D, V

 

✓

✓

  b. Key dates

D, V

 

✓

✓

 5. Participants

  a. Study setting

D, V

 

✓

✓

  b. Eligibility criteria

D, V

 

✓

✓

  c. Details of treatment

D, V

✓

✓

✓

 6. Outcome

  a. Outcome definition

D, V

 

✓

✓

  b. Blinding of outcome assessment

D,V

 

✓

✓

 7. Predictors

  a. Predictors definition

D, V

 

✓

✓

  b. Blinding of predictor assessment

D, V

 

✓

✓

 8. Sample size

  Arrival at study size

D,V

 

✓

✓

 9. Missing Data

  Handling of missing data

D, V

 

✓

✓

 10. Statistical analysis

  a. Handling of predictors in the analysis

D

 

✓

✓

  b. Specification of the model, all model building procedures, and internal validation methods

D

 

✓

✓

  c. For validation, description of how predictions were calculated

V

 

✓

n.a.

  d. Specification of all measures used to assess model performance

D, V

 

✓

✓

  e. Description of model updating

V

✓

✓

n.a.

 11. Risk groups

  Details of how risk groups were created

D, V

✓

✓

✓

 12. Development vs. validation

  For validation, description of differences between development and validation data

V

 

✓

✓

Results

 13. Participants

  a. Flow of participants through the study

D, V

 

✓

✓

  b. Description of characteristics of participants

D, V

 

✓

✓

  c. For validation, comparison with development data

V

 

✓

✓

 14. Model development

  a. Number of participants and outcome in each analysis

D

 

✓

✓

  b. Unadjusted association between each candidate predictor and outcome

D

✓

✓

✓

 15. Model specification

  a. Presentation of full prediction model

D

✓

✓

✓

  b. Explanation of how to use the prediction model

D

 

✓

✓

 16. Model performance

  Report of model performance measures

D,V

 

✓

✓

 17. Model updating

  Results from any model updating

V

✓

✓

n.a.

Discussion

 18. Limitations

  Limitations

D, V

 

✓

✓

 19. Interpretation

  a. For validation, interpretation of performance measure results

V

  

✓

  b. Overall interpretation of results

D, V

 

✓

✓

 20. Implications

  Potential clinical use of the model and implications for future research

D, V

 

✓

✓

Other information

  

✓

✓

 21. Supplementary information

  Availability of supplementary resources

D, V

 

✓

✓

 22. Funding

  Source of funding and role of funders

D, V

 

✓

✓

Total number of applicable items for TRIPOD adherence score

  

31

37

  1. (n.a) No included studies reported external validation only or model updating (Item 10c, 10e, and 17)