Prediction Models for Gastrointestinal and Liver Diseases: Too Many Developed, Too Few Validated (original) (raw)

“…However, despite the large number of models developed and published, few are externally validated and fewer are used in clinical practice. 6 In this study, we externally validated the M-BERET in four independent datasets and confirm that it discriminates patients with BE from population-based controls with reasonable accuracy. However, BE is relatively rare, 7 and the number of people who actually have BE as a proportion of those predicted to do so will be low.…”

Section: Discussionmentioning

“…However, despite the large number of models developed and published, few are externally validated and fewer are used in clinical practice. 6 In this study, we externally validated the M-BERET in four independent datasets and confirm that it discriminates patients with BE from population-based controls with reasonable accuracy. However, BE is relatively rare, 7 and the number of people who actually have BE as a proportion of those predicted to do so will be low.…”

Section: Discussionmentioning

“…External validation establishes models' transportability and generalizability [ 67 ]. In this study, independent Dataset 2 was used to externally validate the fully trained classifier previously selected using cross-validation in Dataset1 .…”

Section: Resultsmentioning

“…A model including sex, smoking history (ever vs never), Barrett's oesophagus length (cm) and low‐grade dysplasia status, had reasonable discriminatory ability, with an area under the receiver operating characteristic curve of 0.76 (95% CI, 0.72‐0.80). However, this prediction tool needs to be validated in an independent population before its use can be recommended in clinical practice . To our knowledge, no external validation has been reported to date.…”

Section: Introductionmentioning