Cardiovascular risk algorithms in primary care: Results from the DETECT study.
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ABSTRACT:
SUBMITTER: Grammer TB
PROVIDER: S-EPMC6355969 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
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Cardiovascular risk algorithms in primary care: Results from the DETECT study.
Grammer Tanja B TB Dressel Alexander A Gergei Ingrid I Kleber Marcus E ME Laufs Ulrich U Scharnagl Hubert H Nixdorff Uwe U Klotsche Jens J Pieper Lars L Pittrow David D Silber Sigmund S Wittchen Hans-Ulrich HU März Winfried W
Scientific reports 20190131 1
Guidelines for prevention of cardiovascular diseases use risk scores to guide the intensity of treatment. A comparison of these scores in a German population has not been performed. We have evaluated the correlation, discrimination and calibration of ten commonly used risk equations in primary care in 4044 participants of the DETECT (Diabetes and Cardiovascular Risk Evaluation: Targets and Essential Data for Commitment of Treatment) study. The risk equations correlate well with each other. All r ...[more]
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