Readiness of prediction models for clinical practice
| First author [ref.] | Availability predictors | External validation | Practical applicability |
| Bertens [29] | Easy | Yes | No |
| Almagro [23] | Easy | Yes | No |
| Almagro [23] | Easy | Yes | No |
| Almagro [23] | Easy | Yes | No |
| Almagro [27] | Difficult | No | Yes# |
| Brusse-Keizer [30] | Easy | No¶ | No |
| Amalakuhan [28] | Easy | No+ | No |
| Jones [38] | Easy | No§ | No |
| Echave-Sustaeta [32] | Easy | No | No |
| Jakob [37] | Easy | No | No |
| Motegi [43] | Easy | No | No |
| Lee [40] | Easy | No | No |
| Parshall [47] | Easy | No | No |
| Chen [31] | Medium | No | No |
| Gudmundusson [35] | Medium | No | No |
| Hurst [36] | Medium | No | No |
| Suetomo [48] | Medium | No | No |
| Faganello [33] | Difficult | No | No |
| Ko [39] | Difficult | No | No |
| Ong [46] | Difficult | No | No |
| Garcia-Aymerich [34] | Difficult | No | No |
| Marin [41] | Difficult | No | No |
| Moberg [42] | Difficult | No | No |
| Moy [44] | Difficult | No | No |
| Müllerova [45] | Difficult | No | No |
| Takahashi [49] | Difficult | No | No |
| Thomsen [50] | Difficult | No | No |
Availability predictors refers to how easy it is to obtain the data related to the predictors. External validation refers to the reliability of the model in terms of comparison of performance between derivation and eventual validation cohort. Practical applicability indicates if it is easy to extract individual likelihoods of exacerbation from the model. Studies presenting different models are considered only once, with exception of Almagro et al. [23] for which different predefined indices are shown. #: the paper explains how to you can obtain probabilities starting from the logistic regression equation and indicates how to calculate individual probabilities starting from the predictors; ¶: the jackknife cross validation was applied but no performance was indicated; +: internal validation was applied but no performance is indicated; §: validation was performed for other outcomes.