Institution
Johns Hopkins University School of Medicine
Healthcare•Baltimore, Maryland, United States•
About: Johns Hopkins University School of Medicine is a healthcare organization based out in Baltimore, Maryland, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 44277 authors who have published 79222 publications receiving 4788882 citations.
Topics: Population, Cancer, Transplantation, Prostate cancer, Poison control
Papers published on a yearly basis
Papers
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TL;DR: The report reviews and discusses the concepts that form the foundation for the development of the PAIS, and describes six normative illness groups and contributions to construct validity for the scale from factor analytic and other studies of internal structure.
604 citations
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TL;DR: Results revealed that the preferred stimulus conditions typically produced higher rates of responding than did either the baseline or the nonpreferred stimulus conditions, suggesting that the procedure can be used to assess reinforcer value for individuals with limited behavioral repertoires.
Abstract: We evaluated a procedure for identifying potential reinforcers with profoundly retarded individuals. In Experiment 1, six persons were repeatedly exposed to 16 stimuli, and approach behaviors to each stimulus were used to identify preferred and nonpreferred stimuli. In Experiment 2, we examined the reinforcing properties of preferred and nonpreferred stimuli by delivering them contingently on the occurrence of arbitrarily selected responses. Results revealed that the preferred stimulus conditions typically produced higher rates of responding than did either the baseline or the nonpreferred stimulus conditions, suggesting that the procedure can be used to assess reinforcer value for individuals with limited behavioral repertoires.
603 citations
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TL;DR: Higher mortality was also observed at very low levels of depressive symptoms (BDI 4 to 9) not generally considered clinically significant and below the level usually considered predictive of increased post-AMI mortality.
Abstract: Mild to moderate levels of depressive symptoms as characterized by Beck Depression Inventory (BDI) scores of ≥10 are associated with decreased survival after acute myocardial infarction (AMI). We investigated whether lower levels of depressive symptoms are also associated with increased mortality risk after AMI. We prospectively studied 285 patients with AMI who survived to discharge for evidence, at the time of hospitalization, of a DSM-IIIR mood disorder (using a structured clinical interview) and for symptoms of depression (using the BDI). The overall mortality rate at 4 months was 6.7%. Multiple logistic regression (chi-square 35.79, p ≤0.001) revealed that the independent predictors of mortality were: age ≥65 years, left ventricular ejection fraction <35%, diabetes mellitus, and any depression (DSM-IIIR mood disorder or BDI ≥10) present at the time of AMI. Among patients ≥65 years old with left ventricular ejection fraction <35%, the 4-month mortality was 12%. However, in this same group, those with any depression at the time of AMI had a 4-month mortality of 50% (relative risk 4.1, p = 0.01). Among patients aged ≥65 years, the mortality according to BDI scale grouping 0 to 3, 4 to 9, and 10+ was 2.6%, 17.1%, and 23.3%, respectively (p <0.002). Highest mortality rates were observed in patients with most severe depressive symptoms. However, compared with those without depression, higher mortality was also observed at very low levels of depressive symptoms (BDI 4 to 9) not generally considered clinically significant and below the level usually considered predictive of increased post-AMI mortality.
602 citations
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TL;DR: It is shown that more than 99% of the earliest-stage, lowest-grade, pancreatic intraepithelial neoplasm-1 lesions contain mutations in KRAS, p16/CDKN2A, GNAS, or BRAF, which could improve the understanding of the development and progression of these premalignant lesions.
602 citations
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TL;DR: This article conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel.
Abstract: To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects) We identified 13 novel T2D-associated loci (P < 5 × 10-8), including variants near the GLP2R, GIP, and HLA-DQA1 genes Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology
601 citations
Authors
Showing all 44754 results
Name | H-index | Papers | Citations |
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Robert Langer | 281 | 2324 | 326306 |
Bert Vogelstein | 247 | 757 | 332094 |
Solomon H. Snyder | 232 | 1222 | 200444 |
Steven A. Rosenberg | 218 | 1204 | 199262 |
Kenneth W. Kinzler | 215 | 640 | 243944 |
Hagop M. Kantarjian | 204 | 3708 | 210208 |
Mark P. Mattson | 200 | 980 | 138033 |
Stuart H. Orkin | 186 | 715 | 112182 |
Paul G. Richardson | 183 | 1533 | 155912 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
Daniel R. Weinberger | 177 | 879 | 128450 |
David Baker | 173 | 1226 | 109377 |
Eliezer Masliah | 170 | 982 | 127818 |