Handke 2019.
Study characteristics | ||
General information | Objective
Journal
Country
Study design
|
|
Participants | Number of included patients
Surgical specialty
Age
Male sex
High‐risk surgery
Insulin‐dependent diabetes mellitus
History of ischaemic heart disease
History of congestive heart failure
History of cerebrovascular events
Elevated creatinine
0 RCRI factors
1 RCRI factor
2 RCRI factors
3 or more RCRI factors
|
|
Predictors | Predictor 1: High‐sensitivity troponin T
Predictor 2: NT‐proBNP
Predictor 3: eGFR (KDIGO stage ≥ 3)
Predictor 4: Presepsin
|
|
Outcome | Outcome category
Full outcome definition
Prediction horizon
|
|
Analysis | Number of outcomes
Handling missing data
Discrimination reported?
Calibration reported?
Reclassification reported?
|
|
PROBAST: Applicability | Domain 1: Participant selection
Justification: only included participants with coronary artery disease Domain 2: Predictors
Justification: no information on how the RCRI predictors were defined Domain 3: Outcome
Justification: outcome definition of MACE is different from the outcome in the development study as it includes e.g. stroke and myocardial ischaemia Overall judgement
Justification: only a selected group of patients was included, there was no/unclear information on predictor definitions and outcome definition was different compared to the development study |
|
Notes | — | |
Item | Authors' judgement | Support for judgement |
Domain 1: Participant selection | Yes | Appropriate participant selection in which patients were selected in whom the RCRI model can be applied. |
Domain 2: Predictors | Unclear | No information on how the RCRI predictors were defined. |
Domain 3: Outcome | Yes | Clearly defined outcome definitions and appropriate adjudication of outcomes. |
Domain 4: Analysis | No | Low number of included patients and outcomes, dichotomisation of continuous variables, no predictive performance measures reported that compared the RCRI with predictors. |
Overall judgement | No | Patient selection was appropriate. Outcomes were clearly defined and assessed. However, predictors definitions were not clear/reported. Furthermore, the number of outcomes was low, dichotomisation of continuous variables and inappropriate reporting of performance measures. |