Institution
Tufts University
Education•Medford, 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 & Medicine. The organization has 32800 authors who have published 66881 publications receiving 3451152 citations. The organization is also known as: Tufts College & Universitatis Tuftensis.
Topics: Population, Medicine, Health care, Cancer, Context (language use)
Papers published on a yearly basis
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TL;DR: In this article, the authors examined the relation between hours of television viewed and the prevalence of overweight in 1990, and the incidence and remission of overweight from 1986 to 1990 in a nationally representative cohort of 746 youths aged 10 to 15 years in 1990 whose mothers were 25 to 32 years old.
Abstract: Background and Methods: The prevalence of obesity among children and adolescents has increased, and television viewing has been suggested as a cause. We examined the relation between hours of television viewed and the prevalence of overweight in 1990, and the incidence and remission of overweight from 1986 to 1990 in a nationally representative cohort of 746 youths aged 10 to 15 years in 1990 whose mothers were 25 to 32 years old. Overweight was defined as a body mass index higher than the 85th percentile for age and gender. Results: We observed a strong dose-response relationship between the prevalence of overweight in 1990 and hours of television viewed. The odds of being overweight were 4.6 (95% confidence interval, 2.2 to 9.6) times greater for youth watching more than 5 hours of television per day compared with those watching for 0 to 2 hours. When adjustments were made for previous overweight (in 1986), baseline maternal overweight, socioeconomic status, household structure, ethnicity, and maternal and child aptitude test scores, results were similar (odds ratio, 5.3; 95% confidence interval, 2.3 to 12.1). We also found significant relations between television viewing and increased incidence and decreased remission of overweight during this 4-year period, adjusted for baseline covariates. The adjusted odds of incidence were 8.3 (95% confidence interval, 2.6 to 26.5) times greater for youth watching more than 5 hours of television per day compared with those watching for 0 to 2 hours. Estimates of attributable risk indicate that more 60% of overweight incidence in this population can be linked to excess television viewing time. Conclusion: Television viewing affects overweight among youth, and reductions in viewing time could help prevent this increasingly common chronic health condition. (Arch Pediatr Adolesc Med. 1996;150:356-362)
1,161 citations
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TL;DR: It is shown that mice carrying mutations in the tumour suppressor gene p53 were highly predisposed to a range of tumour types, predominantly early onset lung cancer.
Abstract: About 30% of human tumours carry ras gene mutations. Of the three genes in this family (composed of K-ras, N-ras and H-ras), K-ras is the most frequently mutated member in human tumours, including adenocarcinomas of the pancreas ( approximately 70-90% incidence), colon ( approximately 50%) and lung ( approximately 25-50%). To construct mouse tumour models involving K-ras, we used a new gene targeting procedure to create mouse strains carrying oncogenic alleles of K-ras that can be activated only on a spontaneous recombination event in the whole animal. Here we show that mice carrying these mutations were highly predisposed to a range of tumour types, predominantly early onset lung cancer. This model was further characterized by examining the effects of germline mutations in the tumour suppressor gene p53, which is known to be mutated along with K-ras in human tumours. This approach has several advantages over traditional transgenic strategies, including that it more closely recapitulates spontaneous oncogene activation as seen in human cancers.
1,155 citations
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TL;DR: The pH of intracellular compartments in eukaryotic cells is a carefully controlled parameter that affects many cellular processes, including intrACEllular membrane transport, prohormone processing and transport of neurotransmitters, as well as the entry of many viruses into cells.
Abstract: The pH of intracellular compartments in eukaryotic cells is a carefully controlled parameter that affects many cellular processes, including intracellular membrane transport, prohormone processing and transport of neurotransmitters, as well as the entry of many viruses into cells. The transporters responsible for controlling this crucial parameter in many intracellular compartments are the vacuolar (H+)-ATPases (V-ATPases). Recent advances in our understanding of the structure and regulation of the V-ATPases, together with the mapping of human genetic defects to genes that encode V-ATPase subunits, have led to tremendous excitement in this field.
1,152 citations
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Tufts University1, Wake Forest University2, Oregon Health & Science University3, Indiana University4, Albany College of Pharmacy and Health Sciences5, Rush University Medical Center6, Vanderbilt University7, East Carolina University8, University of Illinois at Chicago9, Beaumont Hospital10, Johns Hopkins University11, Cleveland Clinic12, University of Wisconsin-Madison13, University of Texas at Austin14, University of Pittsburgh15, Virginia Commonwealth University16, Texas Tech University Health Sciences Center17, National Institutes of Health18, University of Virginia19
TL;DR: The purpose of the Executive Summary is to provide a "stand-alone" summary of the background, scope, methods, and key recommendations, as well as the complete text of the guideline statements.
1,145 citations
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TL;DR: The NKDEP Laboratory Working Group has developed a plan that enables standardization and improved accuracy (trueness) of serum creatinine measurements in clinical laboratories worldwide that includes the use of the estimating equation for GFR based on serum Creatinine concentration that was developed from the Modification of Diet in Renal Disease (MDRD) study.
Abstract: Background: Reliable serum creatinine measurements in glomerular filtration rate (GFR) estimation are critical to ongoing global public health efforts to increase the diagnosis and treatment of chronic kidney disease (CKD). We present an overview of the commonly used methods for the determination of serum creatinine, method limitations, and method performance in conjunction with the development of analytical performance criteria. Available resources for standardization of serum creatinine measurement are discussed, and recommendations for measurement improvement are given.
Methods: The National Kidney Disease Education Program (NKDEP) Laboratory Working Group reviewed problems related to serum creatinine measurement for estimating GFR and prepared recommendations to standardize and improve creatinine measurement.
Results: The NKDEP Laboratory Working Group, in collaboration with international professional organizations, has developed a plan that enables standardization and improved accuracy (trueness) of serum creatinine measurements in clinical laboratories worldwide that includes the use of the estimating equation for GFR based on serum creatinine concentration that was developed from the Modification of Diet in Renal Disease (MDRD) study.
Conclusions: The current variability in serum creatinine measurements renders all estimating equations for GFR, including the MDRD Study equation, less accurate in the normal and slightly increased range of serum creatinine concentrations [<133 μmol/L (1.5 mg/dL)], which is the relevant range for detecting CKD [<60 mL · min−1 · (1.73 m2)−1]. Many automated routine methods for serum creatinine measurement meet or exceed the required precision; therefore, reduction of analytical bias in creatinine assays is needed. Standardization of calibration does not correct for analytical interferences (nonspecificity bias). The bias and nonspecificity problems associated with some of the routine methods must be addressed.
1,140 citations
Authors
Showing all 33110 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Frank B. Hu | 250 | 1675 | 253464 |
Ralph B. D'Agostino | 226 | 1287 | 229636 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Peter Libby | 211 | 932 | 182724 |
David Baltimore | 203 | 876 | 162955 |
Eric B. Rimm | 196 | 988 | 147119 |
Lewis C. Cantley | 196 | 748 | 169037 |
Bernard Rosner | 190 | 1162 | 147661 |
Charles A. Dinarello | 190 | 1058 | 139668 |
William B. Kannel | 188 | 533 | 175659 |
Scott M. Grundy | 187 | 841 | 231821 |
John P. A. Ioannidis | 185 | 1311 | 193612 |
David H. Weinberg | 183 | 700 | 171424 |
Joel Schwartz | 183 | 1149 | 109985 |