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Nicolaas P.A. Zuithoff

Researcher at Utrecht University

Publications -  127
Citations -  5246

Nicolaas P.A. Zuithoff is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 31, co-authored 105 publications receiving 4323 citations. Previous affiliations of Nicolaas P.A. Zuithoff include Oklahoma State University Center for Health Sciences & University Medical Center Utrecht.

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Meta-Analysis of MR Imaging in the Diagnosis of Breast Lesions

TL;DR: MR imaging of the breast has high sensitivity and lower specificity in the evaluation of breast lesions and the performance of breast MR imaging was influenced by the prevalence of cancer in the studied population.
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Reporting and Methods in Clinical Prediction Research: A Systematic Review

TL;DR: It is found that the majority of prediction studies do not follow current methodological recommendations and need to be re-examined.
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Incidence and predictors of short- and long-term complications in pacemaker therapy: The FOLLOWPACE study

TL;DR: Although various patient- and procedure-related characteristics are independent predictors for early and late complications, their ability to identify the patient at high risk is rather poor and underscores the usefulness of current guidelines for regular follow-up of patients with PM.
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Beta-blockers may reduce mortality and risk of exacerbations in patients with chronic obstructive pulmonary disease.

TL;DR: Treatment with beta-blockers may reduce the risk of exacerbations and improve survival in patients with COPD, possibly as a result of dual cardiopulmonary protective properties.
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Diagnostic accuracy of conventional or age adjusted D-dimer cut-off values in older patients with suspected venous thromboembolism: systematic review and meta-analysis

TL;DR: The application of age adjusted cut-off values for D-dimer tests substantially increases specificity without modifying sensitivity, thereby improving the clinical utility of D- dimer testing in patients aged 50 or more with a non-high clinical probability.