Citations

Showing 10 of 108073 citations.

Transforming physician certification to support physician self-motivation and capacity to improve quality and safety
Phillips, Robert L. , Kennedy, J.M., Jaén, Carlos Roberto , Stelter, Keith, Puffer, James C., Kennedy, James

Mayo Clinic

Journal of Enterprise Transformation | December 19, 2016 | Volume: 6 | Issue: 3-4 | Pages: 162-169

10.1080/19488289.2016.1216020 Get It

Disseminated herpes zoster in chronic lymphocytic leukemia (CLL) patients treated with B-cell receptor pathway inhibitors
Giridhar, Karthik V. , Tosh, Pritish K. , Call, Timothy G. , Shanafelt, Tait D. , Parikh, Sameer A. , Giridhar, Karthik V

Mayo Clinic

Leukemia & Lymphoma | December 19, 2016 | Volume: 58 | Issue: 8 | Pages: 1973-1976

10.1080/10428194.2016.1267352 | PMID 27960571 Get It

A breakthrough in spontaneous coronary artery dissection pathogenesis: is it an inherited condition?
Kanwar, Siddak S. , Olson, Timothy M. , Gulati, Rajiv , Hayes, Sharonne N. , Olson, Timothy M

Mayo Clinic

Expert Review of Cardiovascular Therapy | December 19, 2016 | Volume: 15 | Issue: 1 | Pages: 1-2

10.1080/14779072.2017.1266254 | PMID 27960566 Get It

Targeting integrin-linked kinase to suppress oncogenic KRAS signaling in pancreatic cancer
Kulp, Samuel K. , Bekaii‐Saab, Tanios , Chen, Ching-Shih, Chu, Po‐Chen , Bekaii-Saab, Tanios S

Mayo Clinic

Small GTPases | December 19, 2016 | Volume: 9 | Issue: 6 | Pages: 452-456

10.1080/21541248.2016.1251383 | PMID 27936345 Get It

Elevated rates of memory impairment in military service-members and veterans with posttraumatic stress disorder
Stricker, Nikki H. , Lippa, Sara M. , Green, Deborah L., McGlynn, Susan M., Grande, Laura, McGlinchey, Regina E. , Milberg, William P , Stricker, Nikki H

Mayo Clinic

Journal of Clinical and Experimental Neuropsychology | December 18, 2016 | Volume: 39 | Issue: 8 | Pages: 768-785

10.1080/13803395.2016.1264575 | PMID 27976973 Get It

Patterns of growth factor usage and febrile neutropenia among older patients with diffuse large B-cell non-Hodgkin lymphoma treated with CHOP or R-CHOP: the Intergroup experience (CALGB 9793; ECOG-SWOG 4494)
Morrison, Vicki A., Weller, Edie, Fisher, Richard I., Cheson, Bruce D. , Habermann, Thomas M. , Li, Shuli , Peterson, Bruce A.

Mayo Clinic

Leukemia & Lymphoma | December 18, 2016 | Volume: 58 | Issue: 8 | Pages: 1814-1822

10.1080/10428194.2016.1265111 | PMID 27967294 Get It

Ultrasound Biomicroscopy in Pseudophakic Patients with Unexplained Recurrent Hyphema or Vitreous Hemorrhage
Alniemi, Saba T. , Amin, Sejal , Sculley, LuAnne, Bakri, Sophie J. , Amin, Sejal R

Mayo Clinic

Seminars in Ophthalmology | December 18, 2016 | Volume: 33 | Issue: 2 | Pages: 260-264

10.1080/08820538.2016.1228984 | PMID 27960582 Get It

A case for poroelasticity in skeletal muscle finite element analysis: experiment and modeling
Wheatley, Benjamin , Odegard, Gregory M. , Donahue, Tammy L. Haut , Kaufman, Kenton R.

Mayo Clinic

Computer Methods in Biomechanics and Biomedical Engineering | December 18, 2016 | Volume: 20 | Issue: 6 | Pages: 598-601

10.1080/10255842.2016.1268132 | PMID 27957877 Get It

Combination of Salivary Gland Ultrasonography and Virtual Touch Quantification for Diagnosis of Sjögren’s Syndrome: A Preliminary Study
Chen, Shaoqi , Wang, Yukai , Zhang, Guohong , Chen, Shigao , Chen, Shaoqi

Mayo Clinic

BioMed Research International | December 18, 2016 | Volume: 2016 | Issue: No issue available | Pages: 1-6

10.1155/2016/2793898 | PMID 28078285 Get It

A total of 136 subjects (51 SS patients, 35 sicca syndrome patients without SS, and 50 healthy volunteers) were enrolled in this study. The mean SWV value for salivary glands of SS patients was statistically higher than that of controls (2.81 ± 0.66 m/s versus 1.85 ± 0.28 m/s for parotid glands and 2.29 ± 0.34 m/s versus 1.82 ± 0.25 m/s for submandibular glands, resp.). Combining SWV values of parotid and submandibular glands gives a sensitivity of 88.2% (95% CI: 76.1–95.6%) and specificity of 96.0% (95% CI: 86.3–99.5%) at the cutoff point of 2.19 m/s, with an AUROC of 0.954 (95% CI: 0.893–0.986). In addition, combining SGUS score and SWV value yields a sensitivity of 98.0% (95% CI: 89.6–100%), specificity of 90.0% (95% CI: 78.2–96.7%), and AUROC of 0.962 (95% CI: 0.904–0.990). Classification tree considering the sequential use of SGUS score and SWV value achieved 92.1% accuracy for diagnosis of SS. Similarly, the ROC curve of combined SGUS scores and SWV values yields an AUROC of 0.954 (95% CI: 0.885–0.987), sensitivity of 97.1% (95% CI: 85.1–99.9%), and specificity of 92.2% (95% CI: 81.1–97.8%) for separating sicca syndrome patients (without SS) from SS patients. Combining SGUS and VTQ provides a promising tool for diagnosis of SS.
Imaging markers of cerebrovascular pathologies: Pathophysiology, clinical presentation, and risk factors
Raman, Mekala R., Kantarci, Kejal , Murray, Melissa E. , Vemuri, Prashanthi , Jack, Clifford R. , Vemuri, Prashanthi , Kantarci, Kejal , Murray, Melissa E

Mayo Clinic

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | December 18, 2016 | Volume: 5 | Issue: 1 | Pages: 5-14

10.1016/j.dadm.2016.12.006 | PMID 28054023 Get It

AbstractCerebrovascular pathologies (CVPs) are common pathologies associated with age‐related cognitive decline along with Alzheimer disease pathologies. The impact of CVP on the prevalence of dementia is increasingly being recognized. The goal of this review is to improve our understanding of the pathophysiological underpinnings and the multimodal magnetic resonance imaging and positron emission tomography imaging changes that are associated with the hallmarks of CVP. This knowledge will facilitate the development of early detection, intervention, and prevention strategies that may contribute to lowering the risk of dementia. In this review, we will first discuss currently known risk factors of CVPs including cardiovascular, lifestyle, genetic, sex differences, and head injury. Next, we will focus on the pathophysiology of CVPs and their impact on neurodegeneration and downstream cognitive impairment. Specifically, we will discuss three of the most common cerebrovascular lesions seen on MRI: white‐matter hyperintensity, microbleeds, and infarcts. Finally, we will discuss the unanswered open questions in this field.