Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review

@article{vanDieren2011PredictionMF,
  title={Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review},
  author={Susan van Dieren and Joline W. J. Beulens and Andr{\'e} Pascal Kengne and Linda M. Peelen and Guy Rutten and Mark Woodward and Yvonne T. van der Schouw and Karel G. M. Moons},
  journal={Heart},
  year={2011},
  volume={98},
  pages={360 - 369}
}
Context A recent overview of all CVD models applicable to diabetes patients is not available. Objective To review the primary prevention studies that focused on the development, validation and impact assessment of a cardiovascular risk model, scores or rules that can be applied to patients with type 2 diabetes. Design Systematic review. Data sources Medline was searched from 1966 to 1 April 2011. Study selection A study was eligible when it described the development, validation or impact… 
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178 Citations
Highly Influential Citations
6
Background Citations
43
Methods Citations
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Results Citations
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178 Citations

Citation Type

Citation Type

Cardiovascular risk in patients with type 2 diabetes: A systematic review of prediction models.
Prediction models for the risk of cardiovascular diseases in Chinese patients with type 2 diabetes mellitus: a systematic review.
The validation of cardiovascular risk scores for patients with type 2 diabetes mellitus
TLDR
All 10 evaluated models had a comparable and moderate discriminative ability, and the recalibrated, but not the original, prediction models provided accurate risk estimates.
Risk Models to Predict Hypertension: A Systematic Review
TLDR
The discrimination ability of existing hypertension risk prediction tools is acceptable, but the impact of using these tools on prescriptions and outcomes of hypertension prevention is unclear.
Prediction models for cardiovascular disease risk in the general population: systematic review
TLDR
There is an excess of models predicting incident CVD in the general population and the usefulness of most of the models remains unclear owing to methodological shortcomings, incomplete presentation, and lack of external validation and model impact studies.
Comparative performance of diabetes-specific and general population-based cardiovascular risk assessment models in people with diabetes mellitus.
Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics
TLDR
Overall, the performance of these diabetes-specific stroke prediction models was not satisfactory and research is needed to identify and incorporate new risk factors into the model to improve models’ predictive ability and further external validation of the existing models in diverse population to improve generalisability.
Predictive models of diabetes complications: protocol for a scoping review
TLDR
This scoping review will provide an overview of existing predictive models of diabetes complications and how to apply them to help to enhance shared decision-making and preventive strategies concerning diabetes complications.
Development of predictive risk models for major adverse cardiovascular events among patients with type 2 diabetes mellitus using health insurance claims data
TLDR
The claims-based models developed could reliably predict the risk of cardiovascular events in T2DM patients, without requiring pharmacy claims or laboratory measures, and could be relevant for providers and payers and help implement approaches to prevent cardiovascular Events in high-risk diabetic patients.
Risk predictive modelling for diabetes and cardiovascular disease
TLDR
The historical development and principles of prediction research, including their statistical underpinning, as well as implications for routine practice, are reviewed, with a focus on predictive modelling for CVD and diabetes.
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References

SHOWING 1-10 OF 121 REFERENCES
Contemporary model for cardiovascular risk prediction in people with type 2 diabetes
  • A. Kengne, Anushka Patel, +10 authors M. Woodward
  • Medicine
    European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology
  • 2011
TLDR
Major cardiovascular events in contemporary populations with type 2 diabetes can be predicted on the basis of routinely measured clinical and biological variables and can be used to quantify risk and guide the intensity of treatment in people with diabetes.
Risk Prediction of Cardiovascular Disease in Type 2 Diabetes
TLDR
A more simplified risk equation enables 5-year risk prediction of CVD based on easily available nonlaboratory predictors in clinical practice and A1C and was elaborated in a large observational study obtained from the normal patient population aged up to 70 years.
Development and validation of a total coronary heart disease risk score in type 2 diabetes mellitus.
Development and validation of a risk score for hospitalization for heart failure in patients with Type 2 Diabetes Mellitus
TLDR
Age, body mass index, spot urinary albumin to creatinine ratio, HbA1c, blood haemoglobin at baseline and coronary heart disease during follow-up were predictors of HF-related hospitalization in the training dataset and the risk score had adequate performance.
Risk for cardiovascular events in an Italian population of patients with type 2 diabetes.
Cardiovascular risk assessment scores for people with diabetes: a systematic review
TLDR
Overall, CVD risk scores rank individuals reasonably accurately and are therefore useful in the management of diabetes with regard to targeting therapy to patients at highest risk, however, due to the uncertainty in estimation of true risk, care is needed when using scores to communicate absolute CVDrisk to individuals.
Development and validation of a cardiovascular risk prediction model for Japanese: the Hisayama study
TLDR
The risk prediction model would provide a useful guide to estimate absolute risk of cardiovascular disease and to treat individual risk factors, and was developed and validated in a general population of Japanese.
Cardiovascular risk and diabetes. Are the methods of risk prediction satisfactory?
TLDR
The CRM, when adjusted by the calibration factor, provides the most accurate method of risk prediction, although all tests demonstrated acceptable discrimination with respect to CHD/CVD, however, all underestimated the risk of future events.
The UKPDS risk engine: a model for the risk of coronary heart disease in Type II diabetes (UKPDS 56).
TLDR
The model is diabetes-specific and incorporates glycaemia, systolic blood pressure and lipid levels as risk factors, in addition to age, sex, ethnic group, smoking status and time since diagnosis of diabetes, which provides the estimates ofCHD risk required by current guidelines for the primary prevention of CHD in Type II diabetes.
A stroke prediction score in the elderly: validation and Web-based application.
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