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. 2021 Oct 27;5:17. doi: 10.1186/s41512-021-00106-6

Table 5.

Characteristics of the studies used to inform the developed prognostic model

Study Design Sample size (EPV) Outcome Missing data Discrimination Presentation of the model Model
Calibration
Validation
PHeld et al. [9]

Placebo arms of clinical trials

Multicentre

n = 821

(NA)

Relapse rate Complete case analysis

Discrimination: c-statistic NA for continuous outcome

Calibration: absent.

Internal validation: split-sample

Table Prognostic model
Kalincik et al. [35] Cohort study n = 8513 Treatment response for relapse frequency Mentioned: Values of the principal components can be estimated even for patients with incomplete data

Accuracy and internal validity reported (moderate for relapse rate at 2 years)

Internal validation:

in a separate, non-overlapping MSBase cohort. External validation:

2945 patients from the Swedish Multiple Sclerosis Registry

Table of principal components Prediction model
Liquori et al. [10]

Cohort (R)

Single centre

n = 127

(NA)

Relapse rate Complete case analysis

Overall performance reported R2

Calibration: absent

Validation: absent

NA Prognostic model
Pellegrini et al. [34] RCT n = 2099 Treatment response to annualized relapse rate Complete case analysis

Performance measure of area under the AD(c) curve shown in the graph

Calibration absent

Internal validation:

Splitting of the training dataset into two subsets (50%/50%)

External validation:

Independent RCT

Table Prediction model
Signori et al. [36] All published randomized clinical trials in RRMS reporting a subgroup analysis Six trials 6693 RRMS patients Treatment response to annualized relapse rate Not relevant Not relevant Not relevant Subgroups responsive to treatments
Sormani et al. [7]

Placebo arm of RCT

Multicentre

n = 539

(insufficient data reported)

Number of relapses at 9 months Complete case analysis

Discrimination: absent

Calibration: absent

Internal validation: absent

Mathematical formula Prognostic model
Stühler et al. [33] Real-world data n = 25000 Treatment response to number of relapses Complete case analysis

Discrimination:

c-statistic (0.65)

Calibration:

Calibration plot

Internal validation:

1)10-fold cross-validation, 2)leave-one-site-out cross-validation, and 3)excluding test set

Table Prediction model