cv 3E. TRIPOD Statement Section/Topic Item Checklist Item Page Title and abstract Title 1 Identify the study as developing and/or validating a multivariable prediction model, the target population, and the outcome to be predicted. 1 Abstract 2 Provide a summary of objectives, study design, setting, participants, sample size, predictors, outcome, statistical analysis, results, and conclusions. 2 Introduction Background and objectives 3a Explain the medical context (including whether diagnostic or prognostic) and rationale for developing or validating the multivariable prediction model, including references to existing models. 4 3b Specify the objectives, including whether the study describes the development or validation of the model or both. 4, 5 Methods Source of data 4a Describe the study design or source of data (e.g., randomized trial, cohort, or registry data), separately for the development and validation data sets, if applicable. 5 4b Specify the key study dates, including start of accrual; end of accrual; and, if applicable, end of follow-up. 5 Participants 5a Specify key elements of the study setting (e.g., primary care, secondary care, general population) including number and location of centres. 5 5b Describe eligibility criteria for participants. 5 5c Give details of treatments received, if relevant. 5 Outcome 6a Clearly define the outcome that is predicted by the prediction model, including how and when assessed. 5 6b Report any actions to blind assessment of the outcome to be predicted. 5 Predictors 7a Clearly define all predictors used in developing or validating the multivariable prediction model, including how and when they were measured. 5, 6 7b Report any actions to blind assessment of predictors for the outcome and other predictors. 6 Sample size 8 Explain how the study size was arrived at. 5 Missing data 9 Describe how missing data were handled (e.g., complete-case analysis, single imputation, multiple imputation) with details of any imputation method. 7 Statistical analysis methods 10a Describe how predictors were handled in the analyses. 7, 8 10b Specify type of model, all model-building procedures (including any predictor selection), and method for internal validation. 7, 8 10d Specify all measures used to assess model performance and, if relevant, to compare multiple models. 8 Risk groups 11 Provide details on how risk groups were created, if done. - Results
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