Fig 1.
Identification, screening and inclusion of articles for the identification of validation parameters in the literature.
Table 1.
The eight domains identified and their frequency in the included articles.
Table 2.
The Framework to Identify Models of Disease (FIMD).
Questions per validation parameter, and weight of each question and domain according to the same weighting system, in which the total of 100 points is divided equally by the eight domains, and then equally by each question within a domain.
Fig 2.
Radar plot with hypothetical scores per parameter per model. The closer a parameter is to the edge, the better the model simulates that aspect of the human disease. SNH–Symptomatology and Natural History.
Table 3.
Different levels of validation according to the percentage of definite answers to the questionnaire.
Fig 3.
Radar plot with the scores per parameter per model of DMD. The closer a parameter is to the edge, the better the model simulates that aspect of the human disease.
Table 4.
Percentage of studies complying with the reporting quality parameters adapted from the ARRIVE guidelines per parameter per model.
Table 5.
Percentage of studies with low (Yes) or unclear (Unclear) risk of bias per parameter per model.