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Institution

Jagiellonian University

EducationKrakow, Poland
About: Jagiellonian University is a education organization based out in Krakow, Poland. It is known for research contribution in the topics: Population & Catalysis. The organization has 17438 authors who have published 44092 publications receiving 862633 citations. The organization is also known as: Academia Cracoviensis & Akademia Krakowska.


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Journal ArticleDOI
Amand F. Schmidt1, Daniel I. Swerdlow1, Daniel I. Swerdlow2, Michael V. Holmes3, Michael V. Holmes4, Riyaz S. Patel5, Riyaz S. Patel1, Zammy Fairhurst-Hunter6, Donald M. Lyall7, Fernando Pires Hartwig8, Bernardo L. Horta8, Elina Hyppönen9, Elina Hyppönen10, Christine Power10, Max Moldovan11, Max Moldovan9, Erik P A Van Iperen, G. Kees Hovingh, Ilja Demuth12, Kristina Norman12, Elisabeth Steinhagen-Thiessen12, Juri Demuth, Lars Bertram2, Lars Bertram13, Tian Liu14, Stefan Coassin15, Johann Willeit15, Stefan Kiechl15, Karin Willeit15, Dan Mason16, John Wright16, Richard W Morris17, Goya Wanamethee1, Peter H. Whincup18, Yoav Ben-Shlomo17, Stela McLachlan19, Jackie F. Price19, Mika Kivimäki1, Catherine Welch1, Adelaida Sanchez-Galvez1, Pedro Marques-Vidal20, Andrew N. Nicolaides21, Andrew N. Nicolaides2, Andrie G. Panayiotou22, N. Charlotte Onland-Moret23, Yvonne T. van der Schouw23, Giuseppe Matullo24, Giovanni Fiorito24, Simonetta Guarrera24, Carlotta Sacerdote25, Nicholas J. Wareham26, Claudia Langenberg26, Robert A. Scott26, Jian'an Luan26, Martin Bobak1, Sofia Malyutina27, Andrzej Pająk28, Ruzena Kubinova, Abdonas Tamosiunas29, Hynek Pikhart1, Lise Lotte N. Husemoen, Niels Grarup30, Oluf Pedersen30, Torben Hansen30, Allan Linneberg30, Kenneth Starup Simonsen, Jackie A. Cooper1, Steve E. Humphries1, Murray H. Brilliant31, Terrie Kitchner31, Hakon Hakonarson32, David Carrell33, Catherine A. McCarty, H. Lester Kirchner, Eric B. Larson33, David R. Crosslin33, Mariza de Andrade34, Dan M. Roden35, Joshua C. Denny35, Cara L. Carty36, Stephen Hancock37, John Attia37, Elizabeth G. Holliday37, Martin O'Donnell38, Salim Yusuf38, Michael Chong38, Guillaume Paré38, Pim van der Harst39, M. Abdullah Said39, Ruben N. Eppinga39, Niek Verweij39, Harold Snieder39, Tim Christen40, Dennis O. Mook-Kanamori40, Stefan Gustafsson41, Lars Lind41, Erik Ingelsson41, Erik Ingelsson42, Erik Ingelsson43, Raha Pazoki44, Oscar H. Franco44, Albert Hofman44, André G. Uitterlinden44, Abbas Dehghan2, Abbas Dehghan44, Alexander Teumer45, Sebastian E. Baumeister46, Sebastian E. Baumeister45, Marcus Dörr45, Markus M. Lerch45, Uwe Völker45, Henry Völzke45, Joey Ward7, Jill P. Pell7, Daniel J. Smith7, Tom W. Meade47, Anke H. Maitland-van der Zee23, Ekaterina V Baranova23, Robin Young48, Ian Ford48, Archie Campbell19, Sandosh Padmanabhan7, Michiel L. Bots23, Diederick E. Grobbee23, Philippe Froguel2, Philippe Froguel49, Dorothée Thuillier49, Beverley Balkau50, Amélie Bonnefond2, Amélie Bonnefond49, Bertrand Cariou51, Melissa C. Smart52, Yanchun Bao52, Meena Kumari52, Anubha Mahajan6, Paul M. Ridker53, Daniel I. Chasman53, Alexander P. Reiner54, Leslie A. Lange55, Marylyn D. Ritchie56, Marylyn D. Ritchie57, Folkert W. Asselbergs, Juan-Pablo Casas1, Brendan J. Keating58, David Preiss3, David Preiss4, Aroon D. Hingorani1, Naveed Sattar7 
University College London1, Imperial College London2, Clinical Trial Service Unit3, University of Oxford4, St Bartholomew's Hospital5, Wellcome Trust Centre for Human Genetics6, University of Glasgow7, Universidade Federal de Pelotas8, University of South Australia9, UCL Institute of Child Health10, European Bioinformatics Institute11, Charité12, University of Lübeck13, Max Planck Society14, Innsbruck Medical University15, Bradford Royal Infirmary16, University of Bristol17, St George's, University of London18, University of Edinburgh19, University of Lausanne20, University of Nicosia21, Cyprus University of Technology22, Utrecht University23, University of Turin24, Cancer Epidemiology Unit25, University of Cambridge26, Russian Academy27, Jagiellonian University28, Lithuanian University of Health Sciences29, University of Copenhagen30, Marshfield Clinic31, Children's Hospital of Philadelphia32, Group Health Research Institute33, Mayo Clinic34, Vanderbilt University35, George Washington University36, University of Newcastle37, Population Health Research Institute38, University Medical Center Groningen39, Leiden University Medical Center40, Uppsala University41, Stanford University42, Science for Life Laboratory43, Erasmus University Medical Center44, Greifswald University Hospital45, University of Regensburg46, University of London47, Robertson Centre for Biostatistics48, university of lille49, French Institute of Health and Medical Research50, University of Nantes51, University of Essex52, Brigham and Women's Hospital53, Fred Hutchinson Cancer Research Center54, University of Colorado Denver55, Pennsylvania State University56, Geisinger Health System57, University of Pennsylvania58
TL;DR: PCSK9 variants associated with lower LDL cholesterol were also associated with circulating higher fasting glucose concentration, bodyweight, and waist-to-hip ratio, and an increased risk of type 2 diabetes.

296 citations

Journal ArticleDOI
15 Mar 2012-BMJ
TL;DR: The credibility of authors’ claims of subgroup effects, even when claims are strong, is usually low and users of the information should treat claims that fail to meet most criteria with scepticism.
Abstract: Objective To investigate the credibility of authors’ claims of subgroup effects using a representative sample of recently published randomised controlled trials. Design Systematic review. Data source Core clinical journals, as defined by the National Library of Medicine, in Medline. Study selection Randomised controlled trials published in 2007. Using prespecified criteria, teams of trained reviewers independently judged whether authors claimed subgroup effects and the strength of their claims. Reviewers assessed each of these claims against 10 predefined criteria, developed through a search of existing criteria and a consensus process. Results Of 207 randomised controlled trials reporting subgroup analyses, 64 (31%) made claims for the primary outcome. Of those, 20 were strong claims and 28 claims of a likely effect. Authors included subgroup variables measured at baseline in 60 (94%) trials, used subgroup variable as a stratification factor at randomisation in 13 (20%), clearly prespecified their hypotheses in 26 (41%), correctly prespecified direction in 4 (6%), tested a small number of hypotheses in 28 (44%), carried out a test of interaction that proved statistically significant in 6 (9%), documented replication of a subgroup effect with previous related studies in 21 (33%), identified consistency of a subgroup effect across related outcomes in 19 (30%), and provided a compelling indirect evidence for the effect in 14 (22%). In the 19 trials making more than one claim, only one (5%) checked the independence of the interaction. Of the 64 claims, 54 (84%) met four or fewer of the 10 criteria. For strong claims, more than 50% failed each of the individual criteria, and only three (15%) met more than five criteria. Conclusion Authors often claim subgroup effects in their trial report. However, the credibility of subgroup effects, even when claims are strong, is usually low. Users of the information should treat claims that fail to meet most criteria with scepticism. Trial researchers should report the conduct of subgroup analyses and provide sufficient evidence when claiming a subgroup effect or suggesting a possible effect.

296 citations

Journal ArticleDOI
TL;DR: It is shown that animals built according to WBE’s model cannot represent a broad range of sizes, because for large animals the volume of blood vessel would exceed body volume.
Abstract: exponent for metabolic rate) orone of the basic model assumptions, that is, the size-invariance of terminal supplying vessels, must be vio-lated. Then we show that animals built according toWBE’s model cannot represent a broad range of sizes,because for large animals the volume of blood vesselswould exceed body volume. Later we demonstrate thatmany features of the plant vascular system, insecttracheal system, vertebrate lung or vertebrate cardiovascu-lar system do not conform to WBE’s model assumptions.Finally, we argue that

295 citations

Journal ArticleDOI
TL;DR: Despite the recommendations of national and international regulatory agencies, exclusion of older individuals from ongoing trials regarding heart failure continues to be widespread.
Abstract: Methods: In the context of the Increasing the PaRticipation of the ElDerly in Clinical Trials (PREDICT) study, data from ongoing clinical trials regarding heart failure were extracted from the World Health Organization Clinical Trials Registry Platform on December 1, 2008. Main outcome measures were the proportion of trials excluding patients by an arbitrary upper age limit or by other exclusion criteria that might indirectly cause limited recruitment of older individuals. We classified exclusion criteria into 2 categories: justified or poorly justified. Results: Among 251 trials investigating treatments for heart failure, 64 (25.5%) excluded patients by an arbitrary upper age limit. Such exclusion was significantly more common in trials conducted in the European Union than in the United States (31/96 [32.3%] vs 17/105 [16.2%];P=.007) and in drug trials sponsored by public institutions vs those by private entities (21/59 [35.6%] vs 5/36 [13.9%];P=.02). Overall, 109 trials (43.4%) on heart failure had 1 or more poorly justified exclusion criteria that could limit the inclusion of older individuals. A similar proportion of clinical trials with poorly justified exclusion criteria was found in pharmacologic and nonpharmacologic trials. Conclusion: Despite the recommendations of national and international regulatory agencies, exclusion of older individuals from ongoing trials regarding heart failure continues to be widespread.

295 citations

Journal ArticleDOI
W. Decking, S. Abeghyan, P. Abramian, A. Abramsky  +478 moreInstitutions (15)
TL;DR: The European XFEL as discussed by the authors is a hard X-ray free-electron laser (FEL) based on a highelectron-energy superconducting linear accelerator, which allows for the acceleration of many electron bunches within one radio-frequency pulse of the accelerating voltage and, in turn, for the generation of a large number of hard Xray pulses.
Abstract: The European XFEL is a hard X-ray free-electron laser (FEL) based on a high-electron-energy superconducting linear accelerator. The superconducting technology allows for the acceleration of many electron bunches within one radio-frequency pulse of the accelerating voltage and, in turn, for the generation of a large number of hard X-ray pulses. We report on the performance of the European XFEL accelerator with up to 5,000 electron bunches per second and demonstrating a full energy of 17.5 GeV. Feedback mechanisms enable stabilization of the electron beam delivery at the FEL undulator in space and time. The measured FEL gain curve at 9.3 keV is in good agreement with predictions for saturated FEL radiation. Hard X-ray lasing was achieved between 7 keV and 14 keV with pulse energies of up to 2.0 mJ. Using the high repetition rate, an FEL beam with 6 W average power was created.

295 citations


Authors

Showing all 17729 results

NameH-indexPapersCitations
Roxana Mehran141137899398
Brad Abbott137156698604
M. Morii1341664102074
M. Franklin134158195304
John Huth131108785341
Wladyslaw Dabrowski12999079728
Rostislav Konoplich12881173790
Michel Vetterli12890176064
Francois Corriveau128102275729
Christoph Falk Anders12673468828
Tomasz Bulik12169886211
Elzbieta Richter-Was11879369127
S. H. Robertson116131158582
S. J. Chen116155962804
David M. Stern10727147461
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022510
20212,769
20202,777
20192,736
20182,735