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Institution

Tufts University

EducationMedford, Massachusetts, United States
About: Tufts University is a education organization based out in Medford, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32800 authors who have published 66881 publications receiving 3451152 citations. The organization is also known as: Tufts College & Universitatis Tuftensis.


Papers
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Journal ArticleDOI
22 Jul 2011-BMJ
TL;DR: How to interpret funnel plot asymmetry, recommends appropriate tests, and explains the implications for choice of meta-analysis model are described.
Abstract: Funnel plots, and tests for funnel plot asymmetry, have been widely used to examine bias in the results of meta-analyses. Funnel plot asymmetry should not be equated with publication bias, because it has a number of other possible causes. This article describes how to interpret funnel plot asymmetry, recommends appropriate tests, and explains the implications for choice of meta-analysis model

4,518 citations

Journal ArticleDOI
Theo Vos1, Ryan M Barber1, Brad Bell1, Amelia Bertozzi-Villa1  +686 moreInstitutions (287)
TL;DR: In the Global Burden of Disease Study 2013 (GBD 2013) as mentioned in this paper, the authors estimated the quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013.

4,510 citations

Journal ArticleDOI
TL;DR: The goal is to disseminate the simple definition and five-stage classification system of Chronic kidney disease, to summarize the major recommendations on early detection of chronic kidney disease in adults, and to consider some of the issues associated with these recommendations.
Abstract: Chronic kidney disease is a worldwide public health problem with an increasing incidence and prevalence, poor outcomes, and high cost. Outcomes of chronic kidney disease include not only kidney failure but also complications of decreased kidney function and cardiovascular disease. Current evidence suggests that some of these adverse outcomes can be prevented or delayed by early detection and treatment. Unfortunately, chronic kidney disease is underdiagnosed and undertreated, in part as a result of lack of agreement on a definition and classification of its stages of progression. Recent clinical practice guidelines by the National Kidney Foundation 1) define chronic kidney disease and classify its stages, regardless of underlying cause, 2) evaluate laboratory measurements for the clinical assessment of kidney disease, 3) associate the level of kidney function with complications of chronic kidney disease, and 4) stratify the risk for loss of kidney function and development of cardiovascular disease. The guidelines were developed by using an approach based on the procedure outlined by the Agency for Healthcare Research and Quality. This paper presents the definition and five-stage classification system of chronic kidney disease and summarizes the major recommendations on early detection in adults. Recommendations include identifying persons at increased risk (those with diabetes, those with hypertension, those with a family history of chronic kidney disease, those older than 60 years of age, or those with U.S. racial or ethnic minority status), detecting kidney damage by measuring the albumin-creatinine ratio in untimed ("spot") urine specimens, and estimating the glomerular filtration rate from serum creatinine measurements by using prediction equations. Because of the high prevalence of early stages of chronic kidney disease in the general population (approximately 11% of adults), this information is particularly important for general internists and specialists.

4,363 citations

Journal ArticleDOI
15 Mar 1996-Blood
TL;DR: This is a lengthy review, with 586 citations chosen to illustrate specific areas of interest rather than a compendium of references, which summarizes what the author considers established or controversial topics linking the biology of IL-1 to mechanisms of disease.

4,354 citations


Authors

Showing all 33110 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Frank B. Hu2501675253464
Ralph B. D'Agostino2261287229636
John Q. Trojanowski2261467213948
Peter Libby211932182724
David Baltimore203876162955
Eric B. Rimm196988147119
Lewis C. Cantley196748169037
Bernard Rosner1901162147661
Charles A. Dinarello1901058139668
William B. Kannel188533175659
Scott M. Grundy187841231821
John P. A. Ioannidis1851311193612
David H. Weinberg183700171424
Joel Schwartz1831149109985
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023100
2022467
20213,334
20203,065
20192,806
20182,618