scispace - formally typeset
Search or ask a question
Institution

Wake Forest University

EducationWinston-Salem, North Carolina, United States
About: Wake Forest University is a education organization based out in Winston-Salem, North Carolina, United States. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 21499 authors who have published 48731 publications receiving 2246027 citations. The organization is also known as: Wake Forest College.


Papers
More filters
Journal ArticleDOI
TL;DR: IDH mutational status identified patients with oligodendroglial tumors who did (and did not) benefit from alkylating-agent chemotherapy with RT, and although patients with codeleted tumors lived longest, patients with noncodeleted IDH-mutated tumors also lived longer after CRT.
Abstract: Purpose Patients with 1p/19q codeleted anaplastic oligodendroglial tumors who participated in RTOG (Radiation Therapy Oncology Group) 9402 lived much longer after chemoradiotherapy (CRT) than radiation therapy (RT) alone. However, some patients with noncodeleted tumors also benefited from CRT; survival curves separated after the median had been reached, and significantly more patients lived ≥ 10 years after CRT than RT. Thus, 1p/19q status may not identify all responders to CRT. Patients and Methods Using trial data, we inquired whether an IDH mutation or germ-line polymorphism associated with IDH-mutant gliomas identified the patients in RTOG 9402 who benefited from CRT. Results IDH status was evaluable in 210 of 291 patients; 156 (74%) had mutations. rs55705857 was evaluable in 245 patients; 76 (31%) carried the G risk allele. Both were associated with longer progression-free survival after CRT, and mutant IDH was associated with longer overall survival (9.4 v 5.7 years; hazard ratio [HR], 0.59; 95% CI,...

361 citations

Journal ArticleDOI
TL;DR: Findings add to the growing concerns of the seriousness of AF as a public health burden: in addition to being a well-known risk factor for stroke, AF is also associated with increased risk of MI.
Abstract: Importance Myocardial infarction (MI) is an established risk factor for atrial fibrillation (AF) However, the extent to which AF is a risk factor for MI has not been investigated Objective To examine the risk of incident MI associated with AF Design, Setting, and Participants A prospective cohort of 23 928 participants residing in the continental United States and without coronary heart disease at baseline were enrolled from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort between 2003 and 2007, with follow-up through December 2009 Main Outcomes and Measures Expert-adjudicated total MI events (fatal and nonfatal) Results Over 69 years of follow-up (median 45 years), 648 incident MI events occurred In a sociodemographic-adjusted model, AF was associated with about 2-fold increased risk of MI (hazard ratio [HR], 196 [95% CI, 152-252]) This association remained significant (HR, 170 [95% CI, 126-230]) after further adjustment for total cholesterol, high-density lipoprotein cholesterol, smoking status, systolic blood pressure, blood pressure–lowering drugs, body mass index, diabetes, warfarin use, aspirin use, statin use, history of stroke and vascular disease, estimated glomerular filtration rate, albumin to creatinine ratio, and C-reactive protein level In subgroup analysis, the risk of MI associated with AF was significantly higher in women (HR, 216 [95% CI, 141-331]) than in men (HR, 139 [95% CI, 091-210]) and in blacks (HR, 253 [95% CI, 167-386]) than in whites (HR, 126 [95% CI, 083-193]); for interactions, P = 03 and P = 02, respectively On the other hand, there were no significant differences in the risk of MI associated with AF in older (≥75 years) vs younger ( P = 44 Conclusions and Relevance AF is independently associated with an increased risk of incident MI, especially in women and blacks These findings add to the growing concerns of the seriousness of AF as a public health burden: in addition to being a well-known risk factor for stroke, AF is also associated with increased risk of MI

361 citations

Journal ArticleDOI
26 Sep 2001-Trials
TL;DR: It is concluded that decisions regarding the use of drugs should be based on direct evidence from long-term clinical outcome trials, and the benefits outweigh the risks of statins.
Abstract: Cerivastatin was recently withdrawn from the market because of 52 deaths attributed to drug-related rhabdomyolysis that lead to kidney failure. The risk was found to be higher among patients who received the full dose (0.8 mg/day) and those who received gemfibrozil concomitantly. Rhabdomyolysis was 10 times more common with cerivastatin than the other five approved statins. We address three important questions raised by this withdrawal. Should we continue to approve drugs on surrogate efficacy? Are all statins interchangeable? Do the benefits outweigh the risks of statins? We conclude that decisions regarding the use of drugs should be based on direct evidence from long-term clinical outcome trials.

361 citations

Journal ArticleDOI
TL;DR: A new small-world metric, ω (omega), is proposed, which compares network clustering to an equivalent lattice network and path length to a random network, as Watts and Strogatz originally described.
Abstract: Small-world networks, according to Watts and Strogatz, are a class of networks that are “highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.” These characteristics result in networks with unique properties of regional specialization with efficient information transfer. Social networks are intuitive examples of this organization, in which cliques or clusters of friends being interconnected but each person is really only five or six people away from anyone else. Although this qualitative definition has prevailed in network science theory, in application, the standard quantitative application is to compare path length (a surrogate measure of distributed processing) and clustering (a surrogate measure of regional specialization) to an equivalent random network. It is demonstrated here that comparing network clustering to that of a random network can result in aberrant findings and that networks once thought to exhibit small-world properties may not...

361 citations

Journal ArticleDOI
TL;DR: The risk factors found in this analysis tend to be different from those associated with spontaneous preterm birth, which constitute more than one quarter of all preterm births.

361 citations


Authors

Showing all 21721 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Ronald Klein1941305149140
Luigi Ferrucci1931601181199
Bruce M. Psaty1811205138244
Kenneth C. Anderson1781138126072
Brenda W.J.H. Penninx1701139119082
Russel J. Reiter1691646121010
David R. Jacobs1651262113892
Barbara E.K. Klein16085693319
Christopher J. O'Donnell159869126278
Steven R. Cummings158579104007
David Cella1561258106402
Jack M. Guralnik14845383701
Network Information
Related Institutions (5)
University of Pittsburgh
201K papers, 9.6M citations

98% related

Duke University
200.3K papers, 10.7M citations

97% related

University of California, San Francisco
186.2K papers, 12M citations

96% related

University of North Carolina at Chapel Hill
185.3K papers, 9.9M citations

96% related

University of Pennsylvania
257.6K papers, 14.1M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202365
2022343
20212,610
20202,331
20192,132
20181,978