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Institution

Boston University

EducationBoston, Massachusetts, United States
About: Boston University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 48688 authors who have published 119622 publications receiving 6276020 citations. The organization is also known as: BU & Boston U.


Papers
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Journal ArticleDOI
TL;DR: The ACR/EULAR classification criteria for SSc performed better than the 1980 ACR criteria and should allow for more patients to be classified correctly as having the disease.
Abstract: Objective The 1980 American College of Rheumatology (ACR) classification criteria for systemic sclerosis (SSc) lack sensitivity for early SSc and limited cutaneous SSc. The present work, by a joint committee of the ACR and the European League Against Rheumatism (EULAR), was undertaken for the purpose of developing new classification criteria for SSc. Methods Using consensus methods, 23 candidate items were arranged in a multicriteria additive point system with a threshold to classify cases as SSc. The classification system was reduced by clustering items and simplifying weights. The system was tested by (1) determining specificity and sensitivity in SSc cases and controls with scleroderma-like disorders, and (2) validating against the combined view of a group of experts on a set of cases with or without SSc. Results It was determined that skin thickening of the fingers extending proximal to the metacarpophalangeal joints is sufficient for the patient to be classified as having SSc; if that is not present, seven additive items apply, with varying weights for each: skin thickening of the fingers, fingertip lesions, telangiectasia, abnormal nailfold capillaries, interstitial lung disease or pulmonary arterial hypertension, Raynaud9s phenomenon, and SSc-related autoantibodies. Sensitivity and specificity in the validation sample were, respectively, 0.91 and 0.92 for the new classification criteria and 0.75 and 0.72 for the 1980 ACR classification criteria. All selected cases were classified in accordance with consensus-based expert opinion. All cases classified as SSc according to the 1980 ACR criteria were classified as SSc with the new criteria, and several additional cases were now considered to be SSc. Conclusions The ACR/EULAR classification criteria for SSc performed better than the 1980 ACR criteria for SSc and should allow for more patients to be classified correctly as having the disease.

1,899 citations

Book
Sidney Redner1
01 Jan 2001
TL;DR: In this article, first passage in an interval is illustrated in simple geometries, and the first passage is in a semi-infinite system and a non-fractal system.
Abstract: Preface Errata 1. First-passage fundamentals 2. First passage in an interval 3. Semi-infinite system 4. Illustrations of first passage in simple geometries 5. Fractal and nonfractal networks 6. Systems with spherical symmetry 7. Wedge domains 8. Applications to simple reactions References Index.

1,891 citations

Journal ArticleDOI
TL;DR: In this paper, the authors interpret the financial accelerator as resulting from endogenous changes over the business cycle in the agency costs of lending, and show that borrowers facing high agency costs should receive a relatively lower share of credit extended (the flight to quality) and hence should account for a proportionally greater part of the decline in economic activity.
Abstract: Adverse shocks to the economy may be amplified by worsening credit-market conditions-- the financial 'accelerator'. Theoretically, we interpret the financial accelerator as resulting from endogenous changes over the business cycle in the agency costs of lending. An implication of the theory is that, at the onset of a recession, borrowers facing high agency costs should receive a relatively lower share of credit extended (the flight to quality) and hence should account for a proportionally greater part of the decline in economic activity. We review the evidence for these predictions and present new evidence drawn from a panel of large and small manufacturing firms.

1,887 citations

Journal ArticleDOI
Benjamin F. Voight1, Benjamin F. Voight2, Benjamin F. Voight3, Gina M. Peloso4, Gina M. Peloso5, Marju Orho-Melander6, Ruth Frikke-Schmidt7, Maja Barbalić8, Majken K. Jensen3, George Hindy6, Hilma Holm9, Eric L. Ding3, Toby Johnson10, Heribert Schunkert11, Nilesh J. Samani12, Nilesh J. Samani13, Robert Clarke14, Jemma C. Hopewell14, John F. Thompson13, Mingyao Li1, Gudmar Thorleifsson9, Christopher Newton-Cheh, Kiran Musunuru2, Kiran Musunuru3, James P. Pirruccello3, James P. Pirruccello2, Danish Saleheen15, Li Chen16, Alexandre F.R. Stewart16, Arne Schillert11, Unnur Thorsteinsdottir17, Unnur Thorsteinsdottir9, Gudmundur Thorgeirsson17, Sonia S. Anand18, James C. Engert19, Thomas M. Morgan20, John A. Spertus21, Monika Stoll22, Klaus Berger22, Nicola Martinelli23, Domenico Girelli23, Pascal P. McKeown24, Christopher Patterson24, Stephen E. Epstein25, Joseph M. Devaney25, Mary Susan Burnett25, Vincent Mooser26, Samuli Ripatti27, Ida Surakka27, Markku S. Nieminen27, Juha Sinisalo27, Marja-Liisa Lokki27, Markus Perola5, Aki S. Havulinna5, Ulf de Faire28, Bruna Gigante28, Erik Ingelsson28, Tanja Zeller29, Philipp S. Wild29, Paul I.W. de Bakker, Olaf H. Klungel30, Anke-Hilse Maitland-van der Zee30, Bas J M Peters30, Anthonius de Boer30, Diederick E. Grobbee30, Pieter Willem Kamphuisen31, Vera H.M. Deneer, Clara C. Elbers30, N. Charlotte Onland-Moret30, Marten H. Hofker31, Cisca Wijmenga31, W. M. Monique Verschuren, Jolanda M. A. Boer, Yvonne T. van der Schouw30, Asif Rasheed, Philippe M. Frossard, Serkalem Demissie5, Serkalem Demissie4, Cristen J. Willer32, Ron Do3, Jose M. Ordovas33, Jose M. Ordovas34, Gonçalo R. Abecasis32, Michael Boehnke32, Karen L. Mohlke35, Mark J. Daly3, Mark J. Daly2, Candace Guiducci2, Noël P. Burtt2, Aarti Surti2, Elena Gonzalez2, Shaun Purcell3, Shaun Purcell2, Stacey Gabriel2, Jaume Marrugat, John F. Peden14, Jeanette Erdmann11, Patrick Diemert11, Christina Willenborg11, Inke R. König11, Marcus Fischer36, Christian Hengstenberg36, Andreas Ziegler11, Ian Buysschaert37, Diether Lambrechts37, Frans Van de Werf37, Keith A.A. Fox38, Nour Eddine El Mokhtari39, Diana Rubin, Jürgen Schrezenmeir, Stefan Schreiber39, Arne Schäfer39, John Danesh15, Stefan Blankenberg29, Robert Roberts16, Ruth McPherson16, Hugh Watkins14, Alistair S. Hall40, Kim Overvad41, Eric B. Rimm3, Eric Boerwinkle8, Anne Tybjærg-Hansen7, L. Adrienne Cupples4, L. Adrienne Cupples5, Muredach P. Reilly1, Olle Melander6, Pier Mannuccio Mannucci42, Diego Ardissino, David S. Siscovick43, Roberto Elosua, Kari Stefansson9, Kari Stefansson17, Christopher J. O'Donnell3, Christopher J. O'Donnell5, Veikko Salomaa5, Daniel J. Rader1, Leena Peltonen44, Leena Peltonen27, Stephen M. Schwartz43, David Altshuler, Sekar Kathiresan 
11 Aug 2012
TL;DR: In this paper, a Mendelian randomisation analysis was performed to compare the effect of HDL cholesterol, LDL cholesterol, and genetic score on risk of myocardial infarction.
Abstract: Methods We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20 913 myocardial infarction cases, 95 407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12 482 cases of myocardial infarction and 41 331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. – ¹³) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with noncarriers. This diff erence in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84–0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88–1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58–0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68–1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45–1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69–2·69, p=2×10

1,878 citations

Journal ArticleDOI
TL;DR: It is demonstrated that TLR4 is involved in lipopolysaccharide signaling and serves as a cell-surface co-receptor for CD14, leading to lipopoly Saccharide-mediated NF-κB activation and subsequent cellular events.

1,874 citations


Authors

Showing all 49233 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Meir J. Stampfer2771414283776
Ronald C. Kessler2741332328983
JoAnn E. Manson2701819258509
Albert Hofman2672530321405
George M. Whitesides2401739269833
Paul M. Ridker2331242245097
Eugene Braunwald2301711264576
Ralph B. D'Agostino2261287229636
David J. Hunter2131836207050
Daniel Levy212933194778
Christopher J L Murray209754310329
Tamara B. Harris2011143163979
André G. Uitterlinden1991229156747
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023223
2022810
20216,943
20206,837
20196,120
20185,593