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Liliana Minelli

Researcher at University of Perugia

Publications -  81
Citations -  1394

Liliana Minelli is an academic researcher from University of Perugia. The author has contributed to research in topics: Incidence (epidemiology) & Cancer. The author has an hindex of 22, co-authored 81 publications receiving 1201 citations. Previous affiliations of Liliana Minelli include Istituto Superiore di Sanità.

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Cancer mortality trends in the Umbria region of Italy 1978–2004: a joinpoint regression analysis

TL;DR: Overall cancer mortality was decreasing in both sexes in Umbria and this favourable trend will probably continue and further improve since population screening against breast, cervix, and large bowel cancers were recently introduced.
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Employment status and perceived health condition: longitudinal data from Italy

TL;DR: Evidence is offered on the relationship between self-reported health and the employment status in Italy using the Survey on Household Income and Wealth (SHIW), which finds that temporary workers, first-job seekers and unemployed individuals are worse off than permanent employees.
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Apple intake and cancer risk: a systematic review and meta-analysis of observational studies.

TL;DR: Consumption of apples is associated with a reduced risk of cancer in different anatomical sites and no evidence of publication bias could be detected for colorectal, oral cavity, oesophageal and breast cancer.
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Socio-demographic determinants and access to prenatal care in Italy.

TL;DR: Interestingly, this study found a substantial reduction in the number of pregnant women who do not use prenatal healthcare services properly, which highlights the existence of differences in healthcare use during pregnancy, especially for women from less advantaged social classes.
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CD4+IL13+ T lymphocytes at birth and the development of wheezing and/or asthma during the 1st year of life.

TL;DR: The intracellular cytokine profile of cord blood CD4+ cells, in terms of IL-13 production, could be considered a useful tool for a more accurate identification of newborns from atopic mothers who are at high risk of developing asthma.