Table 2.
CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) checklist.
| Author | Data source (description) | Outcome mortality | Data preparation | Model training | Predictive performance | Generalizability | ||||||||||||
|
|
|
|
Aa | Bb | Cc | Dd | Ee | Ff | Gg | Hh | Ii | Jj | Kk | Ll | Mm | Nn | ||
| Pirracchio et al [1] | MIMICo 2 | Hospital |
|
|
|
✓ | ✓ | ✓ | ✓ |
|
|
✓ |
|
✓ |
|
✓ | ||
| Nielsen et al [24] | Danish ICUp | Hospital 30/90 days | ✓ | ✓ | ✓ | ✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
|
✓ |
|
||
| Nimgaonkar et al [25] | ICU India | Hospital |
|
|
|
✓ | ✓ | ✓ | ✓ |
|
|
|
|
|
|
|
||
| Xia et al [26] | MIMIC 3 | 28 days/hospital | ✓ | ✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
|
|
|
✓ | ✓ | ||
| Purushotham et al [27] | MIMIC 3 | Hospital, 2 days, 3 days, 30 days, 1 year | ✓ | ✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
|
✓ | ✓ | ||
| Nanayakkara et al [28] | ANZICSq | Hospital | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
|
|
✓ | ✓ | ✓ | ✓ | ||
| Meyer et al [29] | Germany | Hospital |
|
✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
✓ |
|
✓ | ||
| Meiring et al [7] | CCHICr United Kingdom | Hospital | ✓ | ✓ | ✓ | ✓ | ✓ |
|
✓ |
|
|
|
|
|
✓ | ✓ | ||
| Lin et al [30] | MIMIC 3 | Hospital | ✓ | ✓ |
|
✓ | ✓ | ✓ | ✓ | ✓ |
|
|
|
|
|
|
||
| Krishnan et al [31] | MIMIC 3 | ICU | ✓ | ✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
|
|
✓ |
|
|
||
| Kang et al [32] | Korea | Hospital | ✓ |
|
✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
|
|
✓ |
|
|
|
||
| Johnson et al [33] | United Kingdom | ICU and hospital | ✓ | ✓ |
|
✓ | ✓ | ✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
|
||
| Holmgren et al [34] | Sweden | Hospital and 30 days |
|
|
✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
|
|
|
|
✓ | ✓ | ||
| Garcia-Gallo et al [35] | MIMIC 3 | Hospital and 1 year | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
|
|
|
|
✓ | ✓ | ||
| El-Rashidy et al [36] | MIMIC 3 | ICU and hospital | ✓ | ✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
|
✓ | ✓ | ||
| Silva et al [37] | EURICUSs 2 | ICU | ✓ | ✓ | ✓ | ✓ | ✓ |
|
✓ | ✓ | ✓ |
|
✓ | ✓ |
|
|
||
| Caicedo-Torres et al [38] | MIMIC 3 | ICU | ✓ | ✓ |
|
✓ | ✓ |
|
✓ | ✓ |
|
|
✓ |
|
|
|
||
| Deshmukh et al [39] | eICU-CRDt | ICU | ✓ | ✓ | ✓ | ✓ | ✓ |
|
✓ | ✓ |
|
|
✓ |
|
✓ |
|
||
| Ryan et al [40] | MIMIC 2 | ICU and hospital | ✓ | ✓ | ✓ | ✓ | ✓ |
|
✓ | ✓ |
|
✓ |
|
|
✓ | ✓ | ||
| Mayaud et al [41] | MIMIC 2 | Hospital | ✓ | ✓ |
|
✓ | ✓ | ✓ | ✓ |
|
✓ |
|
|
|
|
|
||
aData normalization/outlier addressed.
bMissing data addressed.
cHyperparameter optimization addressed.
dOverfitting/shrinkage and cross-validation addressed.
ePredictor selection, full model versus backward elimination.
fCalibration assessed (Brier, Hosmer-Lemeshow, and calibration plot).
gDiscrimination/reclassification performed (net reclassification improvement/integrated discrimination improvement).
hClassification reported.
iRecalibration performed.
jExternally validated.
kExplainability addressed/decision curve analysis.
lClinical applicability addressed.
mPrediction span defined.
nIntended moment of use reported.
oMIMIC: Medical Information Mart for Intensive Care.
pICU: intensive care unit.
qANZICS: Australia New Zealand Intensive Care Unit Society.
rCCHIC: Critical Care Health Informatics Collaborative.
sEURICUS: European ICU studies.
teICU CRD: Electronic ICU Collaborative Research Database.