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Institution

University at Buffalo

EducationBuffalo, New York, United States
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.


Papers
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Journal ArticleDOI
TL;DR: It is proposed that vaccination induces IL-17-producing CD4+ T cells that populate the lung and, after challenge, trigger the production of chemokines that recruit CD4- T cells producing interferon-γ, which ultimately restrict bacterial growth.
Abstract: IL-23 and IL-17 in the establishment of protective pulmonary CD4 + T cell responses after vaccination and during Mycobacterium tuberculosis challenge

1,343 citations

Journal ArticleDOI
TL;DR: The original conceptualization of this syndrome was on the basis of resistance to the metabolic actions of insulin, and it was maintained that hyperinsulinemia itself contributes to atherogenicity, and thus, insulin is atherogenic, leading to the coronary heart disease and cerebrovascular disease associated with this syndrome.
Abstract: Received June 28, 2004; revision received August 26, 2004; accepted October 15, 2004 The original description of the metabolic syndrome by Reaven1 consisted of obesity, insulin resistance, hypertension, impaired glucose tolerance or diabetes, hyperinsulinemia and dyslipidemia characterized by elevated triglyceride, and low HDL concentrations All of the features described above are risk factors for atherosclerosis, and thus, metabolic syndrome constituted a significant risk for coronary heart disease2–5 (Table) The features of obesity/overweight and insulin resistance also provided a significant risk for developing type 2 diabetes5,6 The risks for coronary heart disease and diabetes with metabolic syndrome are greater than those for simple obesity alone, and therefore, an understanding of the pathogenesis and through it, a rational approach to its therapy are of prime importance View this table: Classic Biological Effects of Insulin and Classic Metabolic Syndrome Based on Resistance to the Metabolic Effects of Insulin As our understanding of the action of insulin evolves to comprehensively include the recent discoveries,7 we can better see that insulin resistance is the basis of most if not all of the features of this syndrome The original conceptualization of this syndrome was on the basis of resistance to the metabolic actions of insulin Thus, hyperinsulinemia, glucose intolerance, type 2 diabetes, hypertriglyceridemia, and low HDL concentrations could be accounted for by resistance to the actions of insulin on carbohydrate and lipid metabolism Although the features described above would to some extent explain the atherogenesis, Reaven has maintained that hyperinsulinemia itself contributes to atherogenicity, and thus, insulin is atherogenic, leading to the coronary heart disease and cerebrovascular disease associated with this syndrome Obesity probably leads to hypertension through (1) increased vascular tone created by a reduced bioavailability of NO because of increased oxidative stress,8 (2) increased asymmetric dimethylarginine (ADMA) concentrations,9 (3) increased sympathetic …

1,317 citations

Journal ArticleDOI
TL;DR: These validated prediction rules identified children at very low risk of clinically-important traumatic brain injuries (ciTBI) for whom CT might be unnecessary and missed neurosurgery in validation populations.

1,304 citations

Journal ArticleDOI
TL;DR: A new periodontitis classification scheme has been adopted, in which forms of the disease previously recognized as "chronic" or "aggressive" are now grouped under a single category ("periodontitis") and are further characterized based on a multi-dimensional staging and grading system as mentioned in this paper.
Abstract: A new periodontitis classification scheme has been adopted, in which forms of the disease previously recognized as "chronic" or "aggressive" are now grouped under a single category ("periodontitis") and are further characterized based on a multi-dimensional staging and grading system. Staging is largely dependent upon the severity of disease at presentation as well as on the complexity of disease management, while grading provides supplemental information about biological features of the disease including a history-based analysis of the rate of periodontitis progression; assessment of the risk for further progression; analysis of possible poor outcomes of treatment; and assessment of the risk that the disease or its treatment may negatively affect the general health of the patient. Necrotizing periodontal diseases, whose characteristic clinical phenotype includes typical features (papilla necrosis, bleeding, and pain) and are associated with host immune response impairments, remain a distinct periodontitis category. Endodontic-periodontal lesions, defined by a pathological communication between the pulpal and periodontal tissues at a given tooth, occur in either an acute or a chronic form, and are classified according to signs and symptoms that have direct impact on their prognosis and treatment. Periodontal abscesses are defined as acute lesions characterized by localized accumulation of pus within the gingival wall of the periodontal pocket/sulcus, rapid tissue destruction and are associated with risk for systemic dissemination.

1,301 citations

Journal ArticleDOI
TL;DR: In the GRADE approach, randomized trials start as high-quality evidence and observational studies as low- quality evidence, but both can be rated down if a body of evidence is associated with a high risk of publication bias.

1,295 citations


Authors

Showing all 34002 results

NameH-indexPapersCitations
Rakesh K. Jain2001467177727
Julie E. Buring186950132967
Anil K. Jain1831016192151
Donald G. Truhlar1651518157965
Roger A. Nicoll16539784121
Bruce L. Miller1631153115975
David R. Holmes1611624114187
Suvadeep Bose154960129071
Ashok Kumar1515654164086
Philip S. Yu1481914107374
Hugh A. Sampson14781676492
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
C. Ronald Kahn14452579809
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022363
20212,772
20202,695
20192,527
20182,500