C. L. De Visser
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
C. L. De Visser has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
B. Meyboom-De Jong
University of Groningen
1 shared publicationB. Meyboom‐De Jong
From the Department of General Practice, University of Groningen, Groningen, The Netherlands
1 shared publicationH. J. G. Bilo
Department of Internal Medicine, Isala Clinics, Weezenlanden location, Zwolle, The Netherlands; and
1 shared publicationH.J.G. Bilo
Isala Clinics, Location Weezenlanden
1 shared publicationK. H. Groenier
From the Department of General Practice, University of Groningen, Groningen, The Netherlands
1 shared publicationK.H. Groenier
University of Groningen
1 shared publication
Latest Publications
- 17 April 2003
- Published by Wiley in Journal of Internal Medicine
- Vol. 253 (5) , 553-562
Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population
Abstract. de Visser CL, Bilo HJG, Thomsen TF, Groenier KH, Meyboom‐de Jong B (University of Groningen, Groningen; Isala Clinics, Weezenlanden location, Zwolle, The Netherlands; Glostrup University Hospital, Glostup, Denmark). Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population. J Intern Med 2003; 253: 553–562.Objectives. To compare the estimation of coronary heart disease (CHD) risk by the Framingham risk score (FRS) and the Copenhagen risk score (CRS) using Dutch population data.Design. Comparison of CHD risk estimates from FRS and CRS. CHD risk‐estimations for each separate risk factor.Setting. Urk, the Netherlands.Subjects. A total of 408 fishermen from Urk, aged 30–65 years, without pre‐existing cardiovascular disease.Main outcome measures. Absolute CHD risk estimates.Results. The average 10‐year risk for CHD was significantly different between the FRS (4.6%, SD 5.0) and the CRS (3.2%, SD 4.1). The correlation between the two estimates was 0.94 (P < 0.001). The Bland–Altman figure shows a large proportion of agreement, but with an increasing difference with increasing average risk. When examining the separate risk factors age, total cholesterol, HDL cholesterol and systolic blood pressure and smoking, there appear differences between the two risk functions.Conclusion. Using Dutch population data, differences were found for the calculation of CHD risk with the FRS and the CRS. Further research must be carried out to examine the validity of these risk functions in the Dutch population.
- 17 April 2003
- Published by Wiley in Journal of Internal Medicine
- Vol. 253 (5) , 553-562
Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population
Abstract. de Visser CL, Bilo HJG, Thomsen TF, Groenier KH, Meyboom‐de Jong B (University of Groningen, Groningen; Isala Clinics, Weezenlanden location, Zwolle, The Netherlands; Glostrup University Hospital, Glostup, Denmark). Prediction of coronary heart disease: a comparison between the Copenhagen risk score and the Framingham risk score applied to a Dutch population. J Intern Med 2003; 253: 553–562.Objectives. To compare the estimation of coronary heart disease (CHD) risk by the Framingham risk score (FRS) and the Copenhagen risk score (CRS) using Dutch population data.Design. Comparison of CHD risk estimates from FRS and CRS. CHD risk‐estimations for each separate risk factor.Setting. Urk, the Netherlands.Subjects. A total of 408 fishermen from Urk, aged 30–65 years, without pre‐existing cardiovascular disease.Main outcome measures. Absolute CHD risk estimates.Results. The average 10‐year risk for CHD was significantly different between the FRS (4.6%, SD 5.0) and the CRS (3.2%, SD 4.1). The correlation between the two estimates was 0.94 (P < 0.001). The Bland–Altman figure shows a large proportion of agreement, but with an increasing difference with increasing average risk. When examining the separate risk factors age, total cholesterol, HDL cholesterol and systolic blood pressure and smoking, there appear differences between the two risk functions.Conclusion. Using Dutch population data, differences were found for the calculation of CHD risk with the FRS and the CRS. Further research must be carried out to examine the validity of these risk functions in the Dutch population.
- 1 May 2002
- Published by Springer Nature in Quality of Life Research
- Vol. 11 (3) , 249-261
The influence of cardiovascular disease on quality of life in type 2 diabetics
Background and Aims: In type 2 diabetes mellitus, disease-related complications have a considerable effect on the quality of life. We studied the influence of cardiovascular disease on quality of...
- 1 May 2002
- Published by Springer Nature in Quality of Life Research
- Vol. 11 (3) , 249-261
The influence of cardiovascular disease on quality of life in type 2 diabetics
Background and Aims: In type 2 diabetes mellitus, disease-related complications have a considerable effect on the quality of life. We studied the influence of cardiovascular disease on quality of...