Key reporting elements evaluated in this scoping review to infer features of a good clinical prediction model
Features | Definition | Key reporting elements* |
Generalisability | How well the model works in populations external to the study population, and as such can be used to infer performance in a clinical setting |
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Biasedness | Occurs when certain elements are more heavily weighted than others, or with inconsistency or subjectivity in defining the outcome. |
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Interpretability | How well the model is understood by clinicians |
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Replicability | The ability to replicate the model in the same or independent population |
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Performance | Whether the model provides benefit to patients |
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*Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines summarised in Leisman et al.12