scispace - formally typeset
Search or ask a question
Institution

Danube University Krems

EducationKrems, Niederösterreich, Austria
About: Danube University Krems is a education organization based out in Krems, Niederösterreich, Austria. It is known for research contribution in the topics: Stroke & Population. The organization has 498 authors who have published 1572 publications receiving 68797 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: The World Stroke Organization has been monitoring the impact of the COVID-19 pandemic globally, and has identified an initial marked fall in stroke presentations as well as a widespread impact on stroke services.
Abstract: The COVID-19 pandemic affecting all parts of the world is having huge implications for stroke care. Not only do stroke patients appear to be more susceptible to severe infection, but the pandemic is having major implications on how we deliver stroke care, while ensuing safety of both our patients and health care professionals. COVID-19 infection itself has also been described as a risk factor for stroke. The World Stroke Organization has been monitoring the impact of the pandemic globally, and has identified an initial marked fall in stroke presentations as well as a widespread impact on stroke services. The pandemic is changing the way we deliver care, and has highlighted the enormous potential of telemedicine in stroke care.

291 citations

Journal ArticleDOI
TL;DR: This work estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods and used the cohort-component method of population projection, with inputs of fertility, mortality, population, and migration data.

287 citations

Journal ArticleDOI
TL;DR: For MDD patients with 2 or more antidepressant treatment failures, rTMS is a reasonable, effective consideration and how long these benefits persist remains unclear.
Abstract: Objective To evaluate the efficacy of repetitive transcranial magnetic stimulation (rTMS) in patients with major depressive disorder (MDD) and 2 or more prior antidepressant treatment failures (often referred to as treatment-resistant depression [TRD]). These patients are less likely to recover with medications alone and often consider nonpharmacologic treatments such as rTMS. Data sources We searched MEDLINE, EMBASE, the Cochrane Library, PsycINFO, and the International Pharmaceutical Abstracts for studies comparing rTMS with a sham-controlled treatment in TRD patients ages 18 years or older. Study selection We included 18 good- or fair-quality TRD studies published from January 1, 1980, through March 20, 2013. Data extraction We abstracted relevant data, assessed each study's internal validity, and graded strength of evidence for change in depressive severity, response rates, and remission rates. Results rTMS was beneficial compared with sham for all outcomes. rTMS produced a greater decrease in depressive severity (high strength of evidence), averaging a clinically meaningful decrease on the Hamilton Depression Rating Scale (HDRS) of more than 4 points compared with sham (mean decrease = -4.53; 95% CI, -6.11 to -2.96). rTMS resulted in greater response rates (high strength of evidence); those receiving rTMS were more than 3 times as likely to respond as patients receiving sham (relative risk = 3.38; 95% CI, 2.24 to 5.10). Finally, rTMS was more likely to produce remission (moderate strength of evidence); patients receiving rTMS were more than 5 times as likely to achieve remission as those receiving sham (relative risk = 5.07; 95% CI, 2.50 to 10.30). Limited evidence and variable treatment parameters prevented conclusions about which specific treatment options are more effective than others. How long these benefits persist remains unclear. Conclusions For MDD patients with 2 or more antidepressant treatment failures, rTMS is a reasonable, effective consideration.

280 citations

Journal ArticleDOI
Mariaelisa Graff1, Robert A. Scott2, Anne E. Justice1, Kristin L. Young1  +346 moreInstitutions (101)
TL;DR: In additional genome-wide meta-analyses adjusting for PA and interaction with PA, 11 novel adiposity loci are identified, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.
Abstract: Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

275 citations

Journal ArticleDOI
TL;DR: It is suggested that trained individuals using the GRADE approach improves reliability in comparison to intuitive judgments about the QoE and that two individual raters can reliably assess theQoE using the Grading of Recommendations, Assessment, Development, and Evaluation system.

274 citations


Authors

Showing all 514 results

NameH-indexPapersCitations
Jaakko Tuomilehto1151285210682
Massimo Zeviani10447839743
J. Tuomilehto6919719801
Manfred Reichert6769519569
Roland W. Scholz6428915387
Michael Brainin5521544194
Gerald Gartlehner5429515320
Thomas Schrefl5040310867
Charity G. Moore5017911040
Josef Finsterer48147913836
Silvia Miksch442647790
J. Tuomilehto4410711425
Heinrich Schima432495973
Reinhard Bauer402285435
Thomas Groth381865191
Network Information
Related Institutions (5)
University of Erlangen-Nuremberg
85.6K papers, 2.6M citations

86% related

Katholieke Universiteit Leuven
176.5K papers, 6.2M citations

86% related

Radboud University Nijmegen
83K papers, 3.2M citations

85% related

VU University Amsterdam
75.6K papers, 3.4M citations

85% related

University of Hong Kong
99.1K papers, 3.2M citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202221
2021176
2020165
2019157
2018144