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Institution

Veterans Health Administration

GovernmentWashington 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.


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Journal ArticleDOI
TL;DR: In those older than age 50, systolic blood pressure of greater than 140 mm Hg is a more important cardiovascular disease (CVD) risk factor than diastolic BP, and hypertension will be controlled only if patients are motivated to stay on their treatment plan.
Abstract: The National High Blood Pressure Education Program presents the complete Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Like its predecessors, the purpose is to provide an evidence-based approach to the prevention and management of hypertension. The key messages of this report are these: in those older than age 50, systolic blood pressure (BP) of greater than 140 mm Hg is a more important cardiovascular disease (CVD) risk factor than diastolic BP; beginning at 115/75 mm Hg, CVD risk doubles for each increment of 20/10 mm Hg; those who are normotensive at 55 years of age will have a 90% lifetime risk of developing hypertension; prehypertensive individuals (systolic BP 120-139 mm Hg or diastolic BP 80-89 mm Hg) require health-promoting lifestyle modifications to prevent the progressive rise in blood pressure and CVD; for uncomplicated hypertension, thiazide diuretic should be used in drug treatment for most, either alone or combined with drugs from other classes; this report delineates specific high-risk conditions that are compelling indications for the use of other antihypertensive drug classes (angiotensin-converting enzyme inhibitors, angiotensin-receptor blockers, beta-blockers, calcium channel blockers); two or more antihypertensive medications will be required to achieve goal BP (<140/90 mm Hg, or <130/80 mm Hg) for patients with diabetes and chronic kidney disease; for patients whose BP is more than 20 mm Hg above the systolic BP goal or more than 10 mm Hg above the diastolic BP goal, initiation of therapy using two agents, one of which usually will be a thiazide diuretic, should be considered; regardless of therapy or care, hypertension will be controlled only if patients are motivated to stay on their treatment plan. Positive experiences, trust in the clinician, and empathy improve patient motivation and satisfaction. This report serves as a guide, and the committee continues to recognize that the responsible physician's judgment remains paramount.

14,975 citations

Journal ArticleDOI
TL;DR: It is concluded that the adapted comorbidity index will be useful in studies of disease outcome and resource use employing administrative databases.

9,805 citations

Journal ArticleDOI
02 Feb 2017-Nature
TL;DR: This work demonstrates an artificial intelligence capable of classifying skin cancer with a level of competence comparable to dermatologists, trained end-to-end from images directly, using only pixels and disease labels as inputs.
Abstract: Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of skin lesions using images is a challenging task owing to the fine-grained variability in the appearance of skin lesions. Deep convolutional neural networks (CNNs) show potential for general and highly variable tasks across many fine-grained object categories. Here we demonstrate classification of skin lesions using a single CNN, trained end-to-end from images directly, using only pixels and disease labels as inputs. We train a CNN using a dataset of 129,450 clinical images-two orders of magnitude larger than previous datasets-consisting of 2,032 different diseases. We test its performance against 21 board-certified dermatologists on biopsy-proven clinical images with two critical binary classification use cases: keratinocyte carcinomas versus benign seborrheic keratoses; and malignant melanomas versus benign nevi. The first case represents the identification of the most common cancers, the second represents the identification of the deadliest skin cancer. The CNN achieves performance on par with all tested experts across both tasks, demonstrating an artificial intelligence capable of classifying skin cancer with a level of competence comparable to dermatologists. Outfitted with deep neural networks, mobile devices can potentially extend the reach of dermatologists outside of the clinic. It is projected that 6.3 billion smartphone subscriptions will exist by the year 2021 (ref. 13) and can therefore potentially provide low-cost universal access to vital diagnostic care.

8,424 citations

Journal ArticleDOI
TL;DR: Today there is a need for more exact criteria than existed earlier in order to conduct therapeutic trials in multicenter programs, to compare epidemiological surveys, to evaluate new diagnostic procedures, and to estimate the activity of the disease process in MS.
Abstract: Several schemes for the diagnosis and clinical classification of multiple sclerosis (MS) have been advanced [l}. The best known is that published by Schumacher et alC31. The criteria for this scheme were established in order to select patients for participation in therapeutic trials, and pertain only to what might be called definite MS. No provision was made for incorporating supportive laboratory data into the diagnostic criteria. As no reliable specific laboratory test for the diagnosis of MS has been discovered, the diagnosis remains a clinical one, and there is still a need for clinical diagnostic criteria. However, several laboratory and clinical procedures have been developed within the last decade which aid greatly in demonstrating neurological dysfunction attributable to lesions, and even the lesions themselves. One problem with the various published diagnostic classifications is their discrepant terminology: what is considered “probable” in one is called “definite” in another. Another problem is that all the proposed schemes require much subjective judgment, a difficulty which cannot be completely overcome but can be diminished by adding to the clinical evaluation the results of laboratory, neuroimaging, neuropsychological, and neurophysiological procedures. Today there is a need for more exact criteria than existed earlier in order to conduct therapeutic trials in multicenter programs, to compare epidemiological surveys, to evaluate new diagnostic procedures, and to estimate the activity of the disease process in MS. Method and Procedure

7,565 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide guidelines, guidelines, and simple rules of thumb to assist the clinician faced with the challenge of choosing an appropriate test instrument for a given psychological assessment.
Abstract: In the context of the development of prototypic assessment instruments in the areas of cognition, personality, and adaptive functioning, the issues of standardization, norming procedures, and the important psychometrics of test reliability and validity are evaluated critically. Criteria, guidelines, and simple rules of thumb are provided to assist the clinician faced with the challenge of choosing an appropriate test instrument for a given psychological assessment. Clinicians are often faced with the critical challenge of choosing the most appropriate available test instrument for a given psychological assessment of a child, adolescent, or adult of a particular age, gender, and class of disability. It is the purpose of this report to provide some criteria, guidelines, or simple rules of thumb to aid in this complex scientific decision. As such, it draws upon my experience with issues of test development, standardization, norming procedures, and important psychometrics, namely, test reliability and validity. As I and my colleagues noted in an earlier publication, the major areas of psychological functioning, in the normal development of infants, children, adolescents, adults, and elderly people, include cognitive, academic, personality, and adaptive behaviors (Sparrow, Fletcher, & Cicchetti, 1985). As such, the major examples or applications discussed in this article derive primarily, although not exclusively, from these several areas of human functioning.

7,254 citations


Authors

Showing all 63886 results

NameH-indexPapersCitations
Jeffrey A. Lieberman14570685306
Richard B. Devereux144962116403
Barton F. Haynes14491179014
Jerrold M. Olefsky14359577356
Larry R. Squire14347285306
Eric D. Peterson143109784067
Douglas D. Richman14263382806
Ming T. Tsuang14088573865
Joseph Lau140104899305
Dariush Mozaffarian139585157273
Richard A. Deyo13948386769
Susan Redline13889980945
David Y. Graham138104780886
Herbert Y. Meltzer137114881371
David G. Harrison13749272190
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
2022137
20216,161
20205,712
20195,171
20184,497