30 research outputs found
“Aver cura delle rose. Modulazioni fenomenologiche dell’adsistere. Tra generatività e cura”.
No full textIl saggio prende spunto dal "Piccolo Principe" di Saint Exupery per riflettere sulla condizione umana, passando dal concetto radicale di cura in Martin Heidegger
Regional Patterns in the Achievement of the Lisbon Strategy: a Comparison Between Polycentric Regions and Monocentric Ones
No full textPolycentrism is a common feature of European urban systems. Lately, the concept has assumed a more normative relevance and it has been often considered as a pre?requisite for a more sustainable and balanced development across Europe. However, the effects of polycentrism on other main European Strategies (such as the Lisbon Strategy, aimed at increasing European competitiveness and social cohesion) are not so clear. Therefore, the paper tries to highlight the relationships between a regional polycentric development and the achievement of the Lisbon Strategy’s targets. Referring to a sample of 75 regions belonging to France, Germany, Italy and Spain, we have first measured the extent of polycentrism, by estimating through OLS the slope of the rank-size distribution of cities within each region. Then, we have performed a principal component analysis (PCA) in order to highlight the main features characterising the performance of each region according to Lisbon Strategy’s targets. Looking at the correlations between the extent of polycentrism and the achievement of the Lisbon Strategy’s targets, we have found that the former is significantly correlated both with the spread of manufacture and with low investments in human capital and innovationthe Lisbon Strategy, polycentrism, rank-size distribution, PCA
Everolimus and exemestane in long survival hormone receptor positive male breast cancer: case report
No full text
From SHIW to IT-SILC: Construction and Representativeness of the New CAPP_DYN First-Year Population
No full textThis paper describes the construction of the initial population in CAPP_DYN and illustrates the degree of representativeness of the Italian population in 2006. While the previous version of the model was constructed using the Bank of Italy Survey on Household Income and Wealth, the current version is based on the new ISTAT Survey on Income and Living Conditions. The first part of the paper discusses the reasons that led us to this switch. It also provides full details on the operations carried out on the original dataset in order to obtain a sample that can be used as the first year population of the Dynamic Simulation Model. In the second part of the paper, the demographic and socio-economic characteristics of the initial population sample are compared with information coming from other sources, such as administrative archives, national accounts and Labour Force Surveys. This exercise is crucial in assessing the capability of CAPP_DYN to represent the population's characteristics at the starting pointDynamic micro-simulation; model validation; income distribution; pensions and social security
Transnational social capital and FDI.Evidence from Italian associations worldwide
No full textEmigrant associations abroad are structured nodes of social networks; they are manifestations of a transnational social capital. Italian associations are numerous, spread across several countries, in some cases they exist since the end of the nineteenth century, and may count on high numbers of members. Also, they are robustly tied to the home country. This paper assesses the effects of Italian associations abroad on the bilateral FDI between Italy and the countries of settlement of Italian diaspora. The main results are that these effects are positive and strongly significant, especially for the inward FDI and relatively to the countries with the oldest associationsinternational migration, FDI, Italy
Dynamic Adverse Selection and the Size of the Informed Side of the Market
No full textIn this paper we examine the problem of dynamic adverse selection in a stylized market where the quality of goods is a seller’s private information. We show that in equilibrium all goods can be traded if a simple piece of information is made publicly available: the size of the informed side of the market. Moreover, we show that if exchanges can take place frequently enough, then agents roughly enjoy the entire potential surplus from exchanges. We illustrate these findings with a dynamic model of trade where buyers and sellers repeatedly interact over time. More precisely we prove that, if the size of the informed side of the market is a public information at each trading stage, then there exists a weak perfect Bayesian equilibrium where all goods are sold in finite time and where the price and quality of traded goods are increasing over time. Moreover, we show that as the time between exchanges becomes arbitrarily small, full trade still obtains in finite time – i.e., all goods are actually traded in equilibrium while total surplus from exchanges converges to the entire potential. These results suggest two policy interventions in markets suffering from dynamic adverse selection: first, the public disclosure of the size of the informed side of the market in each trading stage and, second, the increase of the frequency of trading stagesdynamic adverse selection; full trade; size of the informed side; frequency of exchanges; asymmetric information
Androgen receptor expression in early triple-negative breast cancer: clinical significance and prognostic associations.
No full textBackground: Triple-negative breast cancers (TNBC) are characterized by aggressive tumour biology resulting in a poor prognosis. Androgen receptor (AR) is one of newly emerging biomarker in TNBC. In recent years, ARs have been demonstrated to play an important role in the genesis and in the development of breast cancer, although their prognostic role is still debated. In the present study, we explored the correlation of AR expression with clinical, pathological and molecular features and its impact on prognosis in early TNBC. Patients and Methods: ARs were considered positive in case of tumors with >10% nuclear-stained. Survival distribution was estimated by the Kaplan Meier method. The univariate and multivariate analyses were performed. The difference among variables were calculated by chi-square test. Results: 81 TNBC patients diagnosed between January 2006 and December 2011 were included in the analysis. Slides were stained immunohistochemically for estrogen and progesterone receptors, HER-2, Ki-67, ALDH1, e-cadherin and AR. Of the 81 TNBC samples, 18.8% showed positive immunostaining for AR, 23.5% and 44.4% of patients were negative for e-cadherin and ALDH1, respectively. Positive AR immunostaining was inversely correlated with a higher Ki-67 (p < 0.0001) and a lympho-vascular invasion (p = 0.01), but no other variables. Univariate survival analysis revealed that AR expression was not associated with disease-free survival (p = 0.72) or overall survival (p = 0.93). Conclusions: The expression of AR is associated with some biological features of TNBC, such as Ki-67 and lympho-vascular invasion; nevertheless the prognostic significance of AR was not documented in our analysis. However, since ARs are expressed in a significant number of TNBC, prospective studies in order to determine the biological mechanisms and their potential role as novel treatment target
Paclitaxel and Bevacizumab in First Line-Treatment Patients with HER-2 Negative Advanced Breast Cancer: Who could Benefit?
No full textBackground: Angiogenesis is essential for tumor growth and development of metastases in human breast cancer. Randomized studies have shown that bevacizumab (inhibitor of VEGF) combined with taxane-based regimens increases response rates and prolongs Progression-Free Survival (PFS) of patients with Metastatic Breast Cancer (MBC). However predictive or prognostic markers that identify the appropriate target population, thus improving the cost-effectiveness ratio of this treatment, are still needed. In this retrospective analysis, we investigated the impact of traditional clinical and pathological features in order to identify the subgroups of patients who derive the greatest benefit from antiangiogenic-agents. Patients and methods: Retrospectively, we included consecutive patients treated with bevacizumab (10 mg/Kg on days 1 and 15) and paclitaxel (90 mg/m2, on days 1, 8 and 15) as first-line treatment for HER2-negative MBC at our Institution between June 2007 and December 2012. Results: 33 patients were included. Median age was 50 years (31-68). 78. 8%, 12.1% and 9.1% of patients had luminal B, triple negative and luminal A breast cancer, respectively. 66. 6% of patients had visceral disease. The overall response rate was 31.2%. Median PFS and overall survival (OS) were 7.7 months (range 1. 9-14.0 months) and 95.2 months (range 11.6-205.8 months), respectively. Univariate analysis highlighted a statistically significant relationship between PFS to the first line and the following factors: relapse-free survival (RFS12 months; p<0,001), disease control rate (p=0,001), Ca15. 3 reduction of more than 50% from baseline (p=0,03), reduction of LDH from baseline (p=0,02). No significant relationship resulted between PFS and the biological characterization of neoplasia, age, receptor status, Ki-67, nodal status at diagnosis, having carried out a previous (neo) adjuvant chemotherapy (with or without taxane), having visceral disease at time of relapse, the histological evidence of lymph-vascular invasion. At multivariate analysis, RFS was the only confirmed independent prognostic factor (p=0.01; HR=0. 18; 95% CI 0. 04-0.73). Conclusion: Our results confirmed the efficacy and the acceptable toxicity profile of bevacizumab plus paclitaxel as first-line regimen for MBC. RFS may be a useful tool in the clinical practice to select HER-2 negative MBC which may obtain a better prognosis administering this particular regimen
Primum non Nocere: How to ensure continuity of care and prevent cancer patients from being overlooked during the COVID‐ 19 pandemic
No full textBACKGROUND: Coronavirus disease 2019 (COVID‐19) has spread to all countries since December 2019, triggering a pandemic within weeks of the initial outbreak. Doctors were presented with the challenge of having to reimagine the traditional hospital organisation in order to effectively manage patients. PATIENTS AND METHODS: During the months of the COVID‐19 pandemic our Institution was assisted by a call‐center (CC) that triaged cancer patients planned for follow‐up in our outpatient clinics: C1 (for female cancers), C2 (for gastrointestinal, urogenital, and thoracic tumours), and D1 (for melanoma and for patients with tumours in over 5 years follow up). Data refers to the period between 15 April and 3 July 2020. RESULTS: A total of 1054 patients have been included in our study and 1005 (95%) of the contacts were successful. The analysis showed a majority of female patients (74%) and patients affected by breast cancer (56%). Among the options provided 646 patients (92.4%) opted for online consultancy. CONCLUSION: This study has shown that cancer patients valued technology‐mediated follow‐up visits mainly during the beginning of the pandemic because patients themselves were afraid to come to the hospital. Although telemedicine has intrinsic limitations, it is important for providing assistance and preventing cancer patients from feeling isolated during an emergency
