Institution
Catholic University of the Sacred Heart
Education•Milan, Lombardia, Italy•
About: Catholic University of the Sacred Heart is a education organization based out in Milan, Lombardia, Italy. It is known for research contribution in the topics: Population & Health care. The organization has 13592 authors who have published 31048 publications receiving 853961 citations.
Topics: Population, Health care, Cancer, Myocardial infarction, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: In this article, the feasibility of extracting antioxidant compounds from wine-making wastes (grape stalks and marc) by solvent extraction was evaluated by different analytical methods and an accurate comparison of their data with many literature works about antioxidants recovery from different natural sources showed similar results and highlighted a general great variability in the extraction procedures.
297 citations
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TL;DR: The ADNEX model discriminates well between benign and malignant tumours and offers fair to excellent discrimination between four types of ovarian malignancy, which could improve triage and management decisions and so reduce morbidity and mortality associated with adnexal pathology.
Abstract: Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours.
Design Observational diagnostic study using prospectively collected clinical and ultrasound data.
Setting 24 ultrasound centres in 10 countries.
Participants Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients.
Main outcome measures Histological classification and surgical staging of the mass.
Results The Assessment of Different NEoplasias in the adneXa (ADNEX) model contains three clinical and six ultrasound predictors: age, serum CA-125 level, type of centre (oncology centres v other hospitals), maximum diameter of lesion, proportion of solid tissue, more than 10 cyst locules, number of papillary projections, acoustic shadows, and ascites. The area under the receiver operating characteristic curve (AUC) for the classic discrimination between benign and malignant tumours was 0.94 (0.93 to 0.95) on temporal validation. The AUC was 0.85 for benign versus borderline, 0.92 for benign versus stage I cancer, 0.99 for benign versus stage II-IV cancer, and 0.95 for benign versus secondary metastatic. AUCs between malignant subtypes varied between 0.71 and 0.95, with an AUC of 0.75 for borderline versus stage I cancer and 0.82 for stage II-IV versus secondary metastatic. Calibration curves showed that the estimated risks were accurate.
Conclusions The ADNEX model discriminates well between benign and malignant tumours and offers fair to excellent discrimination between four types of ovarian malignancy. The use of ADNEX has the potential to improve triage and management decisions and so reduce morbidity and mortality associated with adnexal pathology.
296 citations
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TL;DR: Whether the main characteristics of the activity evoked by single- and paired-pulse and repetitive TMS, can be accounted by the interaction of the induced currents in the brain with the key anatomic features of a simple cortical circuit, which represents the minimum architecture necessary for capturing the most essential cortical input-output operations of neocortex is evaluated.
296 citations
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TL;DR: The risk of cerebral palsy, like the risk of perinatal death, is lowest in babies who are of above average weight-for-gestation at birth, but risk rises when weight is well above normal as well as when it is well below normal.
294 citations
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TL;DR: The data provide clear evidence that protocols of continuing intensive surveillance and monitoring of compliance with anti-infective regimens may significantly improve the quality of life and long-term survival in patients with CGD.
293 citations
Authors
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Name | H-index | Papers | Citations |
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Peter J. Barnes | 194 | 1530 | 166618 |
Cornelia M. van Duijn | 183 | 1030 | 146009 |
Dennis R. Burton | 164 | 683 | 90959 |
Paolo Boffetta | 148 | 1455 | 93876 |
Massimo Antonelli | 130 | 1272 | 79319 |
David B. Audretsch | 126 | 671 | 72456 |
Piero Anversa | 115 | 412 | 60220 |
Marco Pahor | 112 | 476 | 46549 |
David L. Paterson | 111 | 739 | 68485 |
Alfonso Caramazza | 108 | 451 | 39280 |
Anthony A. Amato | 105 | 911 | 57881 |
Stefano Pileri | 100 | 635 | 43369 |
Giovanni Gasbarrini | 98 | 894 | 36395 |
Giampaolo Merlini | 96 | 684 | 40324 |
Silvio Donato | 96 | 860 | 41166 |