Institution
Brown University
Education•Providence, Rhode Island, United States•
About: Brown University is a education organization based out in Providence, Rhode Island, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 35778 authors who have published 90896 publications receiving 4471489 citations. The organization is also known as: brown.edu & Brown.
Papers published on a yearly basis
Papers
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TL;DR: Female sex, a longer depressive episode before intake, more prior episodes, and never marrying were significant predictors of a recurrence of an affective disorder, but naturalistically applied levels of antidepressant treatment are well below those shown effective in maintenance pharmacotherapy studies.
Abstract: OBJECTIVE: The recurrence of an affective disorder in people who initially recover from major depressive disorder was characterized by using the unique longitudinal prospective follow-up data from the National Institute of Mental Health Collaborative Program on the Psychobiology of Depression—Clinical Studies. METHOD: Up to 15 years of prospective follow-up data on the course of major depressive disorder were available for 380 subjects who recovered from an index episode of major depressive disorder and for 105 subjects who subsequently remained well for at least 5 years after recovery. Baseline demographic and clinical characteristics were examined as predictors of recurrence of an affective disorder. The authors also examined naturalistically applied antidepressant therapy. RESULTS: A cumulative proportion of 85% (Kaplan-Meier estimate) of the 380 recovered subjects experienced a recurrence, as did 58% (Kaplan-Meier estimate) of those who remained well for at least 5 years. Female sex, a longer depressi...
852 citations
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Canadian Institute for Advanced Research1, University of British Columbia2, Monterey Bay Aquarium Research Institute3, Stony Brook University4, University of California, San Diego5, Marine Biological Laboratory6, Brown University7, University of Washington8, Dalhousie University9, National Center for Genome Resources10, Alfred Wegener Institute for Polar and Marine Research11, Rutgers University12, Texas A&M University13, University of Southern California14, University of Delaware15, Victoria University of Wellington16, University of Paris-Sud17, Columbia University18, University of Oslo19, University of Hawaii at Manoa20, University of Prince Edward Island21, University of Rhode Island22, Woods Hole Oceanographic Institution23, Max Planck Society24, Jacobs University Bremen25, Smith College26, University of South Alabama27, Saint Petersburg State University28, University of Geneva29, University of Connecticut30, Laval University31, University of Guelph32, University of North Carolina at Chapel Hill33, University of New Brunswick34, University of Camerino35, University of East Anglia36, Stazione Zoologica Anton Dohrn37, University of Georgia38, University of Technology, Sydney39, University of Puerto Rico40, University of Pisa41, Centre national de la recherche scientifique42, Colorado School of Mines43, Lund University44, University of Western Ontario45, California State University46, University of Texas at Austin47, Los Alamos National Laboratory48, Pierre-and-Marie-Curie University49, University of Oklahoma50, Plymouth Marine Laboratory51, Bigelow Laboratory For Ocean Sciences52, Princeton University53
TL;DR: In this paper, the authors describe a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans and their biology, evolution, and ecology.
Abstract: Current sampling of genomic sequence data from eukaryotes is relatively poor, biased, and inadequate to address important questions about their biology, evolution, and ecology; this Community Page describes a resource of 700 transcriptomes from marine microbial eukaryotes to help understand their role in the world's oceans.
852 citations
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TL;DR: In this paper, a Lagrangian definition for the boundaries of coherent structures in two-dimensional turbulence is introduced, defined as material lines that are linearly stable or unstable for longer times than any of their neighbors.
851 citations
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TL;DR: This paper found that 3-year-olds' poor performance on card sorting occurred across different pairs of dimensions (color-size, shape-number, size number, color-shape) just as it does across different perspectives in the theory-of-mind tasks (self-other, looks like-is, before-after), and that sorting performance was related to theory of mind with age partialled.
851 citations
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Dartmouth College1, The Dartmouth Institute for Health Policy and Clinical Practice2, University of Southern California3, University of Hawaii4, University of Pennsylvania5, Brown University6, University of Pittsburgh7, Oregon Research Institute8, University of Michigan9, Virginia Commonwealth University10
TL;DR: For instance, this paper performed a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking, and found that e-cigarette use was associated with higher risk for subsequent smoking initiation and past 30-day cigarette smoking.
Abstract: Importance The public health implications of e-cigarettes depend, in part, on whether e-cigarette use affects the risk of cigarette smoking. Objective To perform a systematic review and meta-analysis of longitudinal studies that assessed initial use of e-cigarettes and subsequent cigarette smoking. Data Sources PubMed, EMBASE, Cochrane Library, Web of Science, the 2016 Society for Research on Nicotine and Tobacco 22nd Annual Meeting abstracts, the 2016 Society of Behavioral Medicine 37th Annual Meeting & Scientific Sessions abstracts, and the 2016 National Institutes of Health Tobacco Regulatory Science Program Conference were searched between February 7 and February 17, 2017. The search included indexed terms and text words to capture concepts associated with e-cigarettes and traditional cigarettes in articles published from database inception to the date of the search. Study Selection Longitudinal studies reporting odds ratios for cigarette smoking initiation associated with ever use of e-cigarettes or past 30-day cigarette smoking associated with past 30-day e-cigarette use. Searches yielded 6959 unique studies, of which 9 met inclusion criteria (comprising 17 389 adolescents and young adults). Data Extraction and Synthesis Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the Risk of Bias in Non-randomized Studies of Interventions tool, respectively. Data and estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Among baseline never cigarette smokers, cigarette smoking initiation between baseline and follow-up. Among baseline non–past 30-day cigarette smokers who were past 30-day e-cigarette users, past 30-day cigarette smoking at follow-up. Results Among 17 389 adolescents and young adults, the ages ranged between 14 and 30 years at baseline, and 56.0% were female. The pooled probabilities of cigarette smoking initiation were 23.2% for baseline ever e-cigarette users and 7.2% for baseline never e-cigarette users. The pooled probabilities of past 30-day cigarette smoking at follow-up were 21.5% for baseline past 30-day e-cigarette users and 4.6% for baseline non–past 30-day e-cigarette users. Adjusting for known demographic, psychosocial, and behavioral risk factors for cigarette smoking, the pooled odds ratio for subsequent cigarette smoking initiation was 3.50 (95% CI, 2.38-5.16) for ever vs never e-cigarette users, and the pooled odds ratio for past 30-day cigarette smoking at follow-up was 4.28 (95% CI, 2.52-7.27) for past 30-day e-cigarette vs non–past 30-day e-cigarette users at baseline. A moderate level of heterogeneity was observed among studies ( I2 = 56%). Conclusions and Relevance e-Cigarette use was associated with greater risk for subsequent cigarette smoking initiation and past 30-day cigarette smoking. Strong e-cigarette regulation could potentially curb use among youth and possibly limit the future population-level burden of cigarette smoking.
848 citations
Authors
Showing all 36143 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Robert Langer | 281 | 2324 | 326306 |
Robert M. Califf | 196 | 1561 | 167961 |
Eric J. Topol | 193 | 1373 | 151025 |
Joan Massagué | 189 | 408 | 149951 |
Joseph Biederman | 179 | 1012 | 117440 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
James F. Sallis | 169 | 825 | 144836 |
Steven N. Blair | 165 | 879 | 132929 |
Charles M. Lieber | 165 | 521 | 132811 |
J. S. Lange | 160 | 2083 | 145919 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Charles M. Perou | 156 | 573 | 202951 |
David J. Mooney | 156 | 695 | 94172 |
Richard J. Davidson | 156 | 602 | 91414 |