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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: The epidemiological evidence from cross-sectional, prospective and intervention studies for the impact of periodontal disease on diabetes incidence, control and complications is reported and recommendations for patients/the public are provided.
Abstract: Background: Diabetes and periodontitis are complex chronic diseases with an established bidirectional relationship. There is long-established evidence that hyperglycaemia in diabetes is associated with adverse periodontal outcomes. However, given the ubiquity of periodontal diseases and the emerging global diabetes epidemic, the complications of which contribute to significant morbidity and premature mortality, it is timely to review the role of periodontitis in diabetes. Aims: To report the epidemiological evidence from cross-sectional, prospective and intervention studies for the impact of periodontal disease on diabetes incidence, control and complications and to identify potential underpinning mechanisms. Epidemiology: Over the last 20 years, consistent and robust evidence has emerged that severe periodontitis adversely affects glycaemic control in diabetes and glycaemia in non-diabetes subjects. In diabetes patients, there is a direct and dose-dependent relationship between periodontitis severity and diabetes complications. Emerging evidence supports an increased risk for diabetes onset in patients with severe periodontitis. Biological mechanisms: Type 2 diabetes is preceded by systemic inflammation, leading to reduced pancreatic b-cell function, apoptosis and insulin resistance. Increasing evidence supports elevated systemic inflammation (acute-phase and oxidative stress biomarkers) resulting from the entry of periodontal organisms and their virulence factors into the circulation, providing biological plausibility for the effects of periodontitis on diabetes. AGE (Advanced Glycation Endproducts)– RAGE (Receptor for AGEs) interactions and oxidative-stress-mediated pathways provide plausible mechanistic links in the diabetes to periodontitis direction. Interventions: Randomized controlled trials (RCTs) consistently demonstrate that mechanical periodontal therapy associates with approximately a 0.4% reduction in HbA1C at 3 months, a clinical impact equivalent to adding a second drug to a pharmacological regime for diabetes. RCTs are needed with larger numbers of subjects and longer term follow-up, and if results are substantiated, adjunctive periodontal therapies subsequently need to be evaluated. There is no current evidence to support adjunctive use of antimicrobials for periodontal management of diabetes patients. Guidelines: Given the current evidence, it is timely to provide guidelines for periodontal care in diabetes patients for medical and dental professionals and recommendations for patients/the public.

699 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.
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.

698 citations

Journal ArticleDOI
TL;DR: Evidence indicates that selected flavonoids, depending on structure, can affect (usually inhibit) secretory processes, mitogenesis, and cell-cell interactions including possible effects on adhesion molecule expression and function and a potential mechanism of action that requires scrutiny is the redox activity of appropriately configured flavonoid.

697 citations

Proceedings ArticleDOI
16 Jun 2012
TL;DR: Action bank as discussed by the authors is composed of many individual action detectors sampled broadly in semantic space as well as viewpoint space, which is constructed to be semantically rich and even when paired with simple linear SVM classifiers is capable of highly discriminative performance.
Abstract: Activity recognition in video is dominated by low- and mid-level features, and while demonstrably capable, by nature, these features carry little semantic meaning. Inspired by the recent object bank approach to image representation, we present Action Bank, a new high-level representation of video. Action bank is comprised of many individual action detectors sampled broadly in semantic space as well as viewpoint space. Our representation is constructed to be semantically rich and even when paired with simple linear SVM classifiers is capable of highly discriminative performance. We have tested action bank on four major activity recognition benchmarks. In all cases, our performance is better than the state of the art, namely 98.2% on KTH (better by 3.3%), 95.0% on UCF Sports (better by 3.7%), 57.9% on UCF50 (baseline is 47.9%), and 26.9% on HMDB51 (baseline is 23.2%). Furthermore, when we analyze the classifiers, we find strong transfer of semantics from the constituent action detectors to the bank classifier.

692 citations

Journal ArticleDOI
TL;DR: Reviews and evaluates psychosocial treatments for attention deficit hyperactivity disorder in children and adolescents according to Task Force Criteria and concludes that behavioral parent training and behavioral interventions in the classroom meet criteria for well-established treatments.
Abstract: Reviews and evaluates psychosocial treatments for attention deficit hyperactivity disorder (ADHD) in children and adolescents according to Task Force Criteria (Lonigan, Elbert, & Johnson, this issue). It is concluded that behavioral parent training and behavioral interventions in the classroom meet criteria for well-established treatments. Cognitive interventions do not meet criteria for well-established or probably efficacious treatments. Issues regarding the evaluative process are discussed and future directions for psychosocial treatment for ADHD are outlined.

692 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