CONCLUSION
Validation of a prediction model is extremely important as it provides model applicability in different populations. The model’s internal validation is quite common. However, to make a model generalizable and applicable in clinical practice, the model must need to be externally validated. Models that are externally validated multiple times with sufficient good performance are reliable and often recommended in clinical guidelines for implementation. Although, there are many prediction models only a few with external validations. We suggest investigators focus not only on just prediction model development but also on external validation of their developed model.