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Institution

VA Palo Alto Healthcare System

HealthcarePalo Alto, California, United States
About: VA Palo Alto Healthcare System is a healthcare organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Population & Health care. The organization has 2548 authors who have published 4605 publications receiving 209938 citations.


Papers
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Journal ArticleDOI
TL;DR: Outreach efforts to educate patients, their families, and community physicians about cancer clinical trials should be directed at overcoming patient suspicions and providing practical information to physicians about specific trials and how to enroll patients.

79 citations

Journal ArticleDOI
TL;DR: High flow conditions stimulate endothelial cell and smooth muscle cell proliferation in experimental aneurysms and may prevent or retard AAA disease through salutary effects on aortic remodeling mediated by endothelial cells and Smooth muscle cells.

79 citations

Journal ArticleDOI
TL;DR: Finite element analysis is used to calculate hydrostatic stress and maximum principal tensile strain patterns in regenerating tissue around the site of an oblique fracture, and tissue differentiation in pseudarthrosis formation is consistent with concepts previously presented for understanding fracture healing, distraction osteogenesis, and joint formation.

79 citations

Journal ArticleDOI
TL;DR: Hyperfibrinolytic activity as reflected by shortened ELT was seen in 31.3% of patients with cirrhosis, which was correlated with higher C-P scores; abnormal PT, PTT, fibrinogen level, and platelet count; and hyperbilirubinemia, indicating that these factors may serve as predictors for EACA treatment.

79 citations

Journal ArticleDOI
TL;DR: Using in vivo and molecular biology techniques, these data demonstrate that the more insulin resistant an individual, the lower the level of plasma PH-LPL activity and mass, and the higher the plasma TG concentration.
Abstract: The relationship between insulin-mediated glucose disposal and fasting insulin and triglyceride (TG) concentrations, plasma post-heparin lipoprotein lipase (PH-LPL) activity and mass, and adipose tissue LPL activity, mass, and mRNA content was defined in 19 non-diabetic men. Insulin-mediated glucose uptake [as assessed by determining the steady-state plasma glucose (SSPG) concentration during a continuous infusion of somatostatin, insulin, and glucose] was significantly correlated with fasting TG concentration (r = 0.54, p < 0.02), plasma PH-LPL activity (r = –0.52, p < 0.03) and mass (r = –0.49, p < 0.03), and adipose tissue LPL mRNA content (r = –0.68, p < 0.001). Comparable relationships were also seen when fasting insulin concentration was substituted for SSPG. Although adipose tissue LPL and mass correlated with each other (r = 0.76, p < 0.001) in a fasting state, they were not related to any other variable measured. Using in vivo and molecular biology techniques, these data demonstrate that the more insulin resistant an individual, the lower the level of plasma PH-LPL activity and mass, and the higher the plasma TG concentration. Since lower concentrations of adipose tissue mRNA were also directly correlated with plasma PH-LPL mass (r = 0.57, p < 0.01), and inversely with plasma TG concentration (r = –0.68, p < 0.001) as well as SSPG (r = –0.68, p < 0.001), it can be postulated that the relationship between insulin resistance and LPL activity and plasma TG concentration is associated with the inability of insulin to stimulate the transcription or to increase the intracellular mRNA stability of adipose tissue LPL in insulin resistant individuals. [Diabetologia (1997) 40: 850–858]

79 citations


Authors

Showing all 2575 results

NameH-indexPapersCitations
Gregg C. Fonarow1611676126516
Jongmin Lee1502257134772
Roger J. Davis147498103478
Eugene C. Butcher14644672849
Gerald M. Reaven13379980351
Paul G. Shekelle132601101639
Helena C. Kraemer13256265755
Glenn M. Chertow12876482401
Lawrence Steinman11963955583
Rudolf H. Moos11962249816
Cornelia M. Weyand11646044948
Jiahuai Han11137949379
Jörg J. Goronzy11142037634
Adolf Pfefferbaum10953040358
Michael F. Green10648545707
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202226
2021439
2020391
2019304
2018311