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- Thomas, HS, et al.
(författare)
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- 2019
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swepub:Mat__t
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| 5. |
- Ruilope, LM, et al.
(författare)
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Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial
- 2019
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Ingår i: American journal of nephrology. - : S. Karger AG. - 1421-9670 .- 0250-8095. ; 50:5, s. 345-356
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Tidskriftsartikel (refereegranskat)abstract
- <b><i>Background:</i></b> Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. <b><i>Patients and</i></b> <b><i>Methods:</i></b> The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate ≥25 mL/min/1.73 m<sup>2</sup> and albuminuria (urinary albumin-to-creatinine ratio ≥30 to ≤5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level α = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. <b><i>Conclusions:</i></b> FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049.
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- Zhao, Chaoyang, et al.
(författare)
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A massive expansion of effector genes underlies gall-formation in the wheat pest Mayetiola destructor
- 2015
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Ingår i: Current Biology. - : Elsevier BV. - 1879-0445 .- 0960-9822. ; 25:5, s. 613-620
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Tidskriftsartikel (refereegranskat)abstract
- Gall-forming arthropods are highly specialized herbivores that, in combination with their hosts, produce extended phenotypes with unique morphologies [1]. Many are economically important, and others have improved our understanding of ecology and adaptive radiation [2]. However, the mechanisms that these arthropods use to induce plant galls are poorly understood. We sequenced the genome of the Hessian fly (Mayetiola destructor; Diptera: Cecidomyiidae), a plant parasitic gall midge and a pest of wheat (Triticum spp.), with the aim of identifying genic modifications that contribute to its plant-parasitic lifestyle. Among several adaptive modifications, we discovered an expansive reservoir of potential effector proteins. Nearly 5% of the 20,163 predicted gene models matched putative effector gene transcripts present in the M. destructor larval salivary gland. Another 466 putative effectors were discovered among the genes that have no sequence similarities in other organisms. The largest known arthropod gene family (family SSGP-71) was also discovered within the effector reservoir. SSGP-71 proteins lack sequence homologies to other proteins, but their structures resemble both ubiquitin E3 ligases in plants and E3-ligase-mimicking effectors in plant pathogenic bacteria. SSGP-71 proteins and wheat Skp proteins interact in vivo. Mutations in different SSGP-71 genes avoid the effector-triggered immunity that is directed by the wheat resistance genes H6 and H9. Results point to effectors as the agents responsible for arthropod-induced plant gall formation.
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- Benjamin, Daniel J., et al.
(författare)
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Redefine statistical significance
- 2018
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Ingår i: Nature Human Behaviour. - : Nature Research (part of Springer Nature). - 2397-3374. ; 2:1, s. 6-10
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 9. |
- Levis, Brooke, et al.
(författare)
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Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum : An individual participant data meta-analysis
- 2019
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Ingår i: International Journal of Methods in Psychiatric Research. - : WILEY. - 1049-8931 .- 1557-0657. ; 28:4
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for depressive symptoms on the basis of the Patient Health Questionnaire-9. We aimed to determine whether similar results would be seen in a different population, using studies that administered the Edinburgh Postnatal Depression Scale (EPDS) in pregnancy or postpartum.Methods: Data accrued for an EPDS diagnostic accuracy IPDMA were analysed. Binomial generalised linear mixed models were fit to compare depression classification odds for the Mini International Neuropsychiatric Interview (MINI), Composite International Diagnostic Interview (CIDI), and Structured Clinical Interview for DSM (SCID), controlling for EPDS scores and participant characteristics.Results Among fully structured interviews, the MINI (15 studies, 2,532 participants, 342 major depression cases) classified depression more often than the CIDI (3 studies, 2,948 participants, 194 major depression cases; adjusted odds ratio [aOR] = 3.72, 95% confidence interval [CI] [1.21, 11.43]). Compared with the semistructured SCID (28 studies, 7,403 participants, 1,027 major depression cases), odds with the CIDI (interaction aOR = 0.88, 95% CI [0.85, 0.92]) and MINI (interaction aOR = 0.95, 95% CI [0.92, 0.99]) increased less as EPDS scores increased.Conclusion Different interviews may not classify major depression equivalently.
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- David, SP, et al.
(författare)
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Potential Reporting Bias in Neuroimaging Studies of Sex Differences
- 2018
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Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 8:1, s. 6082-
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Tidskriftsartikel (refereegranskat)abstract
- Numerous functional magnetic resonance imaging (fMRI) studies have reported sex differences. To empirically evaluate for evidence of excessive significance bias in this literature, we searched for published fMRI studies of human brain to evaluate sex differences, regardless of the topic investigated, in Medline and Scopus over 10 years. We analyzed the prevalence of conclusions in favor of sex differences and the correlation between study sample sizes and number of significant foci identified. In the absence of bias, larger studies (better powered) should identify a larger number of significant foci. Across 179 papers, median sample size was n = 32 (interquartile range 23-47.5). A median of 5 foci related to sex differences were reported (interquartile range, 2-9.5). Few articles (n = 2) had titles focused on no differences or on similarities (n = 3) between sexes. Overall, 158 papers (88%) reached “positive” conclusions in their abstract and presented some foci related to sex differences. There was no statistically significant relationship between sample size and the number of foci (−0.048% increase for every 10 participants, p = 0.63). The extremely high prevalence of “positive” results and the lack of the expected relationship between sample size and the number of discovered foci reflect probable reporting bias and excess significance bias in this literature.
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- Athanasopoulos, E., et al.
(författare)
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Secure hardware-software architectures for robust computing systems
- 2015
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Ingår i: Communications in Computer and Information Science. - Cham : Springer International Publishing. - 1865-0937 .- 1865-0929. - 9783319271637 ; 570, s. 209-212
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Konferensbidrag (refereegranskat)abstract
- The Horizon 2020 SHARCS project is a framework for designing, building and demonstrating secure-by-design applications and services, that achieve end-to-end security for their users. In this paper we present the basic elements of SHARCS that will provide a powerful foundation for designing and developing trustworthy, secure-by-design applications and services for the Future Internet.
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| 17. |
- Kazdaglis, G., et al.
(författare)
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GENETIC DIVERSITY OF MYCOBACTERIUM TUBERCULOSIS IN NORTHERN GREECE
- 2018
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Ingår i: Journal of Biological Regulators and Homeostatic Agents. - : BIOLIFE SAS. - 0393-974X .- 1724-6083. ; 32:4, s. 931-936
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Tidskriftsartikel (refereegranskat)abstract
- The aim of the present study was to describe the genetic diversity of Mycobacterium tuberculosis (M.tuberculosis) strains circulating in the region of Northern Greece. A total of thirty-seven M. tuberculosis clinical isolates were analysed by the spoligotyping method. According to the results, six clusters comprising seventeen strains were detected, and the remaining twenty strains showed unique patterns. The M.tuberculosis families according to SITVITWEB were distributed as follows: Haarlem (H) (27.0%); T (24.3%); Beijing (13.5%); Latin-America and Mediterranean (LAM) (5.4%) and S (2.7%). The remaining isolates (27%) did not match any isolates within the database and they were characterized as orphans. Regarding GenoType MTBDRpIus results, two strains (5.4%) were Multi-Drug-Resistant, four strains (10.8%), were isoniazid monoresistant, while the remaining thirty-one strains (83.8%) were susceptible. In conclusion, in the region of Macedonia-Thrace (Northern Greece), there was high phylogenetic diversity among M. tuberculosis isolates. Molecular tools used and data presented can have regional and national impact on tuberculosis control.
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| 18. |
- Koubarakis, M., et al.
(författare)
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From copernicus big data to extreme earth analytics
- 2019
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Ingår i: Advances in Database Technology - EDBT. - : OpenProceedings. - 9783893180813 ; , s. 690-693
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Konferensbidrag (refereegranskat)abstract
- Copernicus is the European programme for monitoring the Earth. It consists of a set of systems that collect data from satellites and in-situ sensors, process this data and provide users with reliable and up-to-date information on a range of environmental and security issues. The data and information processed and disseminated puts Copernicus at the forefront of the big data paradigm, giving rise to all relevant challenges, the so-called 5 Vs: volume, velocity, variety, veracity and value. In this short paper, we discuss the challenges of extracting information and knowledge from huge archives of Copernicus data. We propose to achieve this by scale-out distributed deep learning techniques that run on very big clusters offering virtual machines and GPUs. We also discuss the challenges of achieving scalability in the management of the extreme volumes of information and knowledge extracted from Copernicus data. The envisioned scientific and technical work will be carried out in the context of the H2020 project ExtremeEarth which starts in January 2019.
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| 19. |
- Patel, Chirag J., et al.
(författare)
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Systematic assessment of pharmaceutical prescriptions in association with cancer risk : a method to conduct a population-wide medication-wide longitudinal study
- 2016
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 6
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Tidskriftsartikel (refereegranskat)abstract
- It is a public health priority to identify the adverse and non-adverse associations between pharmaceutical medications and cancer. We search for and evaluate associations between all prescribed medications and longitudinal cancer risk in participants of the Swedish Cancer Register (N = 9,014,975). We associated 552 different medications with incident cancer risk (any, breast, colon, and prostate) during 5.5 years of follow-up (7/1/2005-12/31/2010) in two types of statistical models, time-to-event and case-crossover. After multiple hypotheses correction and replication, 141 (26%) drugs were associated with any cancer in a time-to-event analysis constraining drug exposure to 1 year before first cancer diagnosis and adjusting for history of medication use. In a case-crossover analysis, 36 drugs (7%) were associated with decreased cancer risk. 12 drugs were found in common in both analyses with concordant direction of association. We found 14, 10, 7% of all drugs associated with colon, prostate, and breast cancers in time-to-event models. We only found 1, 2%, and 0% for these cancers, respectively, in case-crossover analyses. Pharmacoepidemiologic analyses of cancer risk are sensitive to modeling choices and false-positive findings are a threat. Medication-wide analyses using different analytical models may help suggest consistent signals of increased cancer risk.
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