Institution
University of Alabama at Birmingham
Education•Birmingham, Alabama, United States•
About: University of Alabama at Birmingham is a education organization based out in Birmingham, Alabama, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38523 authors who have published 86775 publications receiving 3930642 citations. The organization is also known as: UAB & The University of Alabama at Birmingham.
Topics: Population, Poison control, Transplantation, Health care, Immune system
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University of Manchester1, University of Oxford2, Brown University3, French Institute of Health and Medical Research4, Brigham and Women's Hospital5, Rensselaer Polytechnic Institute6, University of Alabama at Birmingham7, Public Health England8, University of Virginia9, University of Surrey10, Thomas Jefferson University11
TL;DR: A new light-measurement strategy taking account of the complex photoreceptive inputs to these non-visual responses is proposed for use by researchers, and simple suggestions for artificial/architectural lighting are provided for regulatory authorities, lighting manufacturers, designers, and engineers.
886 citations
TL;DR: The group’s goal was to provide revised evidence-based consensus guidelines for managing women with abnormal cervical cancer screening tests, cervical intraepithelial neoplasia (CIN) and adenocarcinoma in situ (AIS) following adoption of cervical cancer screenings guidelines incorporating longer screening intervals and co-testing.
883 citations
Institute for Health Metrics and Evaluation1, College of Health Sciences, Bahrain2, Harvard University3, Kwame Nkrumah University of Science and Technology4, Charité5, Ahmadu Bello University6, University of the Philippines Manila7, Pontifical Xavierian University8, Madawalabu University9, World Bank10, Public Health Foundation of India11, Guy's and St Thomas' NHS Foundation Trust12, Griffith University13, University of New South Wales14, Massey University15, University of Peradeniya16, University of Sydney17, Chinese Center for Disease Control and Prevention18, Russian Academy of Sciences19, Tehran University of Medical Sciences20, Auckland University of Technology21, James Cook University22, Monash University23, University of California, San Francisco24, Arabian Gulf University25, Central South University26, Virginia Commonwealth University27, Jordan University of Science and Technology28, Health Services Academy29, Oregon Health & Science University30, University of Sheffield31, University at Albany, SUNY32, Aintree University Hospitals NHS Foundation Trust33, Swansea University34, University of York35, South African Medical Research Council36, Children's Hospital of Philadelphia37, Addis Ababa University38, Curtin University39, University of Washington40, Queensland University of Technology41, University of British Columbia42, Suez Canal University43, Karolinska Institutet44, University of Alabama at Birmingham45, An-Najah National University46, Tufts Medical Center47, Norwegian Institute of Public Health48, Stavanger University Hospital49, University of Cape Town50, University of California, Irvine51, University of Illinois at Urbana–Champaign52, St. John's University53, Johns Hopkins University54, Hanoi Medical University55, National Research University – Higher School of Economics56, University of Gondar57, University of Hong Kong58, Jackson State University59, Wuhan University60
TL;DR: An overview of injury estimates from the 2013 update of GBD is provided, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country.
Abstract: Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country.
Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures.
Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries.
Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.
883 citations
University of California, San Francisco1, University of Alabama at Birmingham2, University of Alabama3, Stanford University4, University of Washington5, Institute of Chartered Accountants of Nigeria6, University of Otago7, Harvard University8, Boston Children's Hospital9, McMaster University10, HealthPartners11, University of Queensland12, Royal Brisbane and Women's Hospital13
TL;DR: It is found that glucocorticoid exposure of ≥10 mg/day is associated with a higher odds of hospitalisation and anti-TNF with a decreased odds ofospitalisation in patients with rheumatic disease.
Abstract: Objectives COVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated with COVID-19 hospitalisation status in people with rheumatic disease. Methods Case series of individuals with rheumatic disease and COVID-19 from the COVID-19 Global Rheumatology Alliance registry: 24 March 2020 to 20 April 2020. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Age, sex, smoking status, rheumatic disease diagnosis, comorbidities and rheumatic disease medications taken immediately prior to infection were analysed. Results A total of 600 cases from 40 countries were included. Nearly half of the cases were hospitalised (277, 46%) and 55 (9%) died. In multivariable-adjusted models, prednisone dose ≥10 mg/day was associated with higher odds of hospitalisation (OR 2.05, 95% CI 1.06 to 3.96). Use of conventional disease-modifying antirheumatic drug (DMARD) alone or in combination with biologics/Janus Kinase inhibitors was not associated with hospitalisation (OR 1.23, 95% CI 0.70 to 2.17 and OR 0.74, 95% CI 0.37 to 1.46, respectively). Non-steroidal anti-inflammatory drug (NSAID) use was not associated with hospitalisation status (OR 0.64, 95% CI 0.39 to 1.06). Tumour necrosis factor inhibitor (anti-TNF) use was associated with a reduced odds of hospitalisation (OR 0.40, 95% CI 0.19 to 0.81), while no association with antimalarial use (OR 0.94, 95% CI 0.57 to 1.57) was observed. Conclusions We found that glucocorticoid exposure of ≥10 mg/day is associated with a higher odds of hospitalisation and anti-TNF with a decreased odds of hospitalisation in patients with rheumatic disease. Neither exposure to DMARDs nor NSAIDs were associated with increased odds of hospitalisation.
883 citations
TL;DR: This paper found that the phonetic space of adults is restructured during L2 learning, and support the hypothesis that equivalence classification prevents experienced L2 learners from producing similar L2 phones, but not new L 2 phones, authentically.
883 citations
Authors
Showing all 38940 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rudolf Jaenisch | 206 | 606 | 178436 |
| Joel Schwartz | 183 | 1149 | 109985 |
| Tadamitsu Kishimoto | 181 | 1067 | 130860 |
| Jasvinder A. Singh | 176 | 2382 | 223370 |
| Gregg L. Semenza | 168 | 502 | 130316 |
| David R. Jacobs | 165 | 1262 | 113892 |
| Hua Zhang | 163 | 1503 | 116769 |
| David R. Holmes | 161 | 1624 | 114187 |
| David Cella | 156 | 1258 | 106402 |
| Elaine S. Jaffe | 156 | 828 | 112412 |
| Michael A. Matthay | 151 | 998 | 98687 |
| Lawrence Corey | 146 | 773 | 78105 |
| Barton F. Haynes | 144 | 911 | 79014 |
| Douglas D. Richman | 142 | 633 | 82806 |
| Kjell Fuxe | 142 | 1479 | 89846 |