Institution
Veterans Health Administration
Government•Washington D.C., District of Columbia, United States•
About: Veterans Health Administration is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Veterans Affairs. The organization has 63820 authors who have published 98417 publications receiving 4835425 citations. The organization is also known as: VHA.
Papers published on a yearly basis
Papers
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TL;DR: The role that telehealth has played in transforming healthcare delivery during the 3 phases of the U.S. COVID-19 pandemic is described and how people, process, and technology work together to support a successful telehealth transformation is examined.
986 citations
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TL;DR: This statement summarizes the consensus achieved in discussions to develop a consensus defining the criteria for cure of acromegaly.
Abstract: In February 1999, a workshop was held in Cortina, Italy to develop a consensus defining the criteria for cure of acromegaly. The workshop was sponsored by the University of Brescia and hosted by the Italian Society of Endocrinology. Invited international participants included endocrinologists, neurosurgeons, and radiotherapists skilled in the management of acromegaly. This statement summarizes the consensus achieved in these discussions.
984 citations
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TL;DR: Predictors of successful aging varied yet point to several potentially modifiable targets for increasing the likelihood of successful Aging.
Abstract: Objective There is no consensual definition of "successful aging." Our aim was to review the literature on proportions of subjects meeting criteria and individual components of definitions of successful aging as well as correlates of these definitions. Methods We conducted a literature search for published English-language peer-reviewed reports of data-based studies of adults over age 60 that included an operationalized definition of successful aging. The authors categorized the components of these definitions and independent variables examined in relation to successful aging (e.g., gender, education, and social contacts). Results The authors identified 28 studies with 29 different definitions that met our criteria. Most investigations used large samples of community-dwelling older adults. The mean reported proportion of successful agers was 35.8% (standard deviation: 19.8) but varied widely (interquartile range: 31%). Multiple components of these definitions were identified, although 26 of 29 included disability/physical functioning. The most frequent significant correlates of the various definitions of successful aging were age (young-old), nonsmoking, and absence of disability, arthritis, and diabetes. Moderate support was found for greater physical activity, more social contacts, better self-rated health, absence of depression and cognitive impairment, and fewer medical conditions. Gender, income, education, and marital status generally did not relate to successful aging. Conclusion Despite variability among definitions, approximately one-third of elderly individuals were classified as aging successfully. The majority of these definitions were based on the absence of disability with lesser inclusion of psychosocial variables. Predictors of successful aging varied yet point to several potentially modifiable targets for increasing the likelihood of successful aging.
983 citations
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TL;DR: Different regions of ventral extrastriate cortex are specialized for processing the perceptual features of faces and letterstrings, and that these regions are intermediate between earlier processing in striate and peristriates cortex, and later lexical, semantic, and associative processing in downstream cortical regions.
Abstract: Twelve normal subjects viewed alternating sequences of unfamiliar faces, unpronounceable nonword letterstrings, and textures while echoplanar functional magnetic resonance images were acquired in seven slices extending from the posterior margin of the splenium to near the occipital pole. These stimuli were chosen to elicit initial category-specific processing in extrastriate cortex while minimizing semantic processing. Overall, faces evoked more activation than did letterstrings. Comparing hemispheres, faces evoked greater activation in the right than the left hemisphere, whereas letterstrings evoked greater activation in the left than the right hemisphere. Faces primarily activated the fusiform gyrus bilaterally, and also activated the right occipitotemporal and inferior occipital sulci and a region of lateral cortex centered in the middle temporal gyrus. Letterstrings primarily activated the left occipitotemporal and inferior occipital sulci. Textures primarily activated portions of the collateral sulcus. In the left hemisphere, 9 of the 12 subjects showed a characteristic pattern in which faces activated a discrete region of the lateral fusiform gyrus, whereas letterstrings activated a nearby region of cortex within the occipitotemporal and inferior occipital sulci. These results suggest that different regions of ventral extrastriate cortex are specialized for processing the perceptual features of faces and letterstrings, and that these regions are intermediate between earlier processing in striate and peristriate cortex, and later lexical, semantic, and associative processing in downstream cortical regions.
982 citations
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TL;DR: A sequence of low-level operations to isolate and classify brain tissue within T1-weighted magnetic resonance images (MRI) using a combination of anisotropic diffusion filtering, edge detection, and mathematical morphology is described.
978 citations
Authors
Showing all 63886 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Karin | 236 | 704 | 226485 |
Paul M. Ridker | 233 | 1242 | 245097 |
Eugene Braunwald | 230 | 1711 | 264576 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Fred H. Gage | 216 | 967 | 185732 |
Edward Giovannucci | 206 | 1671 | 179875 |
Rob Knight | 201 | 1061 | 253207 |
Frank E. Speizer | 193 | 636 | 135891 |
Stephen V. Faraone | 188 | 1427 | 140298 |
Scott M. Grundy | 187 | 841 | 231821 |
Paul G. Richardson | 183 | 1533 | 155912 |
Peter W.F. Wilson | 181 | 680 | 139852 |
Dennis S. Charney | 179 | 802 | 122408 |
Kenneth C. Anderson | 178 | 1138 | 126072 |