A literature review of quality assessment and applicability to health technology assessment (HTA) of risk prediction models of coronary heart disease in patients with diabetes
Study context
- Population
- Risk prediction models of coronary heart disease in patients with DM; journal articles in English, Dutch, Chinese or Spanish, 5 databases, 1 Jan 2016–18 Dec 2022, plus models published after 2012 from three systematic reviews26 model studies · 30 models
- Outcome
- Model quality (RoB, HTA applicability) and discrimination
Methodological detailsPROBAST risk-of-bias assessment, HTA applicability assessment
- PROBAST risk-of-bias assessment
- HTA applicability assessment
Main finding
As reported in the abstract
- Models reporting C-index with good discrimination (C-index >= 0.7)
- 71 % and 67 %
- Model studies with low risk of bias (RoB) in all domains (of 26 model studies, 30 models)
- only one model study
Original publication
A literature review of quality assessment and applicability to HTA of risk prediction models of coronary heart disease in patients with diabetes. Diabetes Res Clin Pract. Published 10 February 2024. doi:10.
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