The Biostatistics/Epidemiology Core will be responsible for all statistical, data management, and epidemiological aspects of the Mayo Clinic Urology O'Brien Center research grant. It is expected to serve all major projects as well as pilot projects and will be staffed by members of the Divisions of Biomedical Statistics and Informatics and Epidemiology who have expertise in statistical analysis, data management, and study design. Further, the Core investigators have extensive experience in the applications of quantitative methods to urologic and kidney problems, including nephrolithiasis. The objectives of the Core are to 1) provide high quality consultation to project investigators regarding study design, data analysis and interpretation of results, 2) maintain and extend the existing Olmsted County kidney stone database, 3) develop additional high quality linkable databases and quality control procedures for O'Brien Center research grant studies , and 4) foster and develop junior faculty in the statistical and epidemiological approach to clinical questions in nephrolithiasis.

Public Health Relevance

The existence of the Biostatistics/Epidemiology Core will provide the O'Brien Center research grants with uniform and efficient plans for protocol design, data management, quality control, and statistical analysis. Further, Core investigators will have a broad view of the O'Brien Center research grant, which will allow them to identify potential new interdisciplinary hypotheses and projects.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54DK100227-02
Application #
8734915
Study Section
Special Emphasis Panel (ZDK1-GRB-9)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
2
Fiscal Year
2014
Total Cost
$108,358
Indirect Cost
$40,208
Name
Mayo Clinic, Rochester
Department
Type
DUNS #
006471700
City
Rochester
State
MN
Country
United States
Zip Code
55905
Moen, Taylor; Ferrero, Andrea; McCollough, Cynthia (2018) Robustness of Textural Features to Predict Stone Fragility Across Computed Tomography Acquisition and Reconstruction Parameters. Acad Radiol :
Abd El-Salam, Mohamed; Bastos, Jairo Kenupp; Han, Jing Jing et al. (2018) The Synthesized Plant Metabolite 3,4,5-Tri-O-Galloylquinic Acid Methyl Ester Inhibits Calcium Oxalate Crystal Growth in a Drosophila Model, Downregulates Renal Cell Surface Annexin A1 Expression, and Decreases Crystal Adhesion to Cells. J Med Chem 61:1609-1621
Sivaguru, Mayandi; Saw, Jessica J; Williams Jr, James C et al. (2018) Geobiology reveals how human kidney stones dissolve in vivo. Sci Rep 8:13731
Shah, Ronak Jagdeep; Lieske, John C (2018) Inching toward a Greater Understanding of Genetic Hypercalciuria: The Role of Claudins. Clin J Am Soc Nephrol 13:1460-1462
Ruetten, Hannah; Wegner, Kyle A; Romero, Michael F et al. (2018) Prostatic collagen architecture in neutered and intact canines. Prostate 78:839-848
Marcus, Roy P; Fletcher, Joel G; Ferrero, Andrea et al. (2018) Detection and Characterization of Renal Stones by Using Photon-Counting-based CT. Radiology 289:436-442
Ferrero, Andrea; Gutjahr, Ralf; Halaweish, Ahmed F et al. (2018) Characterization of Urinary Stone Composition by Use of Whole-body, Photon-counting Detector CT. Acad Radiol 25:1270-1276
Vaughan, Lisa E; Enders, Felicity T; Lieske, John C et al. (2018) Predictors of Symptomatic Kidney Stone Recurrence After the First and Subsequent Episodes. Mayo Clin Proc :
Kittanamongkolchai, Wonngarm; Vaughan, Lisa E; Enders, Felicity T et al. (2018) The Changing Incidence and Presentation of Urinary Stones Over 3 Decades. Mayo Clin Proc 93:291-299
Dhondup, Tsering; Kittanamongkolchai, Wonngarm; Vaughan, Lisa E et al. (2018) Risk of ESRD and Mortality in Kidney and Bladder Stone Formers. Am J Kidney Dis 72:790-797

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