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Institution

University of Milano-Bicocca

EducationMilan, Italy
About: University of Milano-Bicocca is a education organization based out in Milan, Italy. It is known for research contribution in the topics: Population & Blood pressure. The organization has 8972 authors who have published 22322 publications receiving 620484 citations. The organization is also known as: Università degli Studi di Milano-Bicocca & Universita degli Studi di Milano-Bicocca.


Papers
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Journal ArticleDOI
TL;DR: In this article, Peul et al. presented a study of the CENTER-TBI Participants and Investigators until 1 November 2019, which is free to read and download at: https://authors.elsevier.com/c/1ZjYd5FFzKkkIst
Abstract: Additional co-authors: Wilco Peul, Nino Stocchetti, Nicole von Steinbuchel, Thijs Vande Vyvere, Jan Verheyden, Andrew I R Maas, David K Menoni and the CENTER-TBI Participants and Investigators Until 1 November 2019, this article is free to read and download at: https://authors.elsevier.com/c/1ZjYd5FFzKkIst

253 citations

Journal ArticleDOI
TL;DR: Metformin, but not sulfonylurea, appears to reduce subsequent cancer risk, which has relevant implications in light of the exploding global epidemic of diabetes.
Abstract: Objective. Oral antidiabetic drugs (including metformin and sulfonylurea) may play a role in the relationship between type 2 diabetes and cancer. To quantify the association between metformin and sulfonylurea and the risk of cancer, we performed a meta-analysis of available studies on the issue.

253 citations

Journal ArticleDOI
TL;DR: Updating of previous meta-analyses indicates that more vs. less intense BP lowering can reduce not only stroke and coronary events, but also cardiovascular mortality.
Abstract: Background and objectives:Previous meta-analyses of our group have investigated the cardiovascular effects of more vs. less intense blood pressure (BP) treatment and the BP levels to be achieved by treatment. A few additional trials have been completed recently, particularly the large SPRINT study.

253 citations

Journal ArticleDOI
TL;DR: In this paper, the final fate of very massive stars (VMSs), with zero-age main sequence (ZAMS) mass $>150$ M$\odot}, was discussed.
Abstract: Understanding the link between massive ($\gtrsim 30$ M$_{\odot{}}$) stellar black holes (BHs) and their progenitor stars is a crucial step to interpret observations of gravitational-wave events. In this paper, we discuss the final fate of very massive stars (VMSs), with zero-age main sequence (ZAMS) mass $>150$ M$_{\odot}$, accounting for pulsational pair-instability supernovae (PPISNe) and for pair-instability supernovae (PISNe). We describe an updated version of our population synthesis code SEVN, in which we added stellar evolution tracks for VMSs with ZAMS mass up to $350 $M$_{\odot{}}$ and we included analytical prescriptions for PPISNe and PISNe. We use the new version of SEVN to study the BH mass spectrum at different metallicity $Z$, ranging from $Z=2.0\times 10^{-4}$ to $Z=2.0\times 10^{-2}$. The main effect of PPISNe and PISNe is to favour the formation of BHs in the mass range of the first gravitational-wave event (GW150914), while they prevent the formation of remnants with mass 60 - 120 M$_{\odot{}}$. In particular, we find that PPISNe significantly enhance mass loss of metal-poor ($Z\leq 2.0\times 10^{-3}$) stars with ZAMS mass $60\leq $M$_{\mathrm{ZAMS}}/$M$_{\odot{}}\leq 125$. In contrast, PISNe become effective only for moderately metal-poor ($Z<8.0\times 10^{-3}$) VMSs. VMSs with M$_{\rm ZAMS}\gtrsim{}220$ M$_\odot$ and $Z<10^{-3}$ do not undergo PISNe and form intermediate-mass BHs (IMBHs, with mass $\gtrsim 200 $M$_{\odot{}}$) via direct collapse.

253 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the feasibility of the routine use of subcortical stimulation for identification of language tracts in a large series of patients with gliomas and to determine the influence that sub cortical language tract identification exerted on the extent of surgery and on the appearance of immediate and definitive postoperative deficits.
Abstract: Objective Subcortical stimulation can be used to identify functional language tracts during resection of gliomas located close to or within language areas or pathways. The objective of the present study was to investigate the feasibility of the routine use of subcortical stimulation for identification of language tracts in a large series of patients with gliomas and to determine the influence that subcortical language tract identification exerted on the extent of surgery and on the appearance of immediate and definitive postoperative deficits. Methods Subcortical stimulation for language tract identification was systematically used during surgical removal of 88 gliomas (44 high-grade and 44 low-grade gliomas) involving language pathways. Procedures were performed during asleep/awake craniotomy. Subcortical stimulation was continuously alternated with surgical resection in a back-and-forth fashion. Language performances were tested by neuropsychological language evaluation preoperatively and at 3, 30, and 90 days after surgery. Results Language tracts were identified in 59% of patients, with differences according to tumor location but not according to histological grade. Language tract identification influenced the ability to reach a complete tumor removal in low-grade gliomas, in which tracts were documented inside the peripheral mass of the tumor. Identification of language tracts was associated with a higher occurrence of transient postoperative deficits (67.3% of cases), but a low occurrence of definitive morbidity (2.3% of cases). A pattern of typical language disturbances related to the phonological and semantic system can be identified according to tumor location, with preservation being important for the maintenance of language integrity. Conclusion Our study supports the routine use of subcortical stimulation for language tract identification as a reliable tool for guiding surgical removal of gliomas in or in close proximity to language areas or pathways.

253 citations


Authors

Showing all 9226 results

NameH-indexPapersCitations
Carlo Rovelli1461502103550
Giuseppe Mancia1451369139692
Marco Bersanelli142526105135
Teruki Kamon1422034115633
Marco Colonna13951271166
M. I. Martínez134125179885
A. Mennella13246393236
Roberto Salerno132119783409
Federico Ferri132137689337
Marco Paganoni132143888482
Arabella Martelli131131884029
Sandra Malvezzi129132684401
Andrea Massironi129111578457
Marco Pieri129128582914
Cristina Riccardi129162791452
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023173
2022349
20212,468
20202,253
20191,906
20181,706