Data From a One-Stop-Shop Comprehensive Cancer Screening Center.

PURPOSE: Cancer is the second leading cause of death globally. However, by implementing evidence-based prevention strategies, 30%-50% of cancers can be detected early with improved outcomes. At the integrated cancer prevention center (ICPC), we aimed to increase early detection by screening for multiple cancers during one visit. METHODS: Self-referred asymptomatic individuals, age 20-80 years, were included prospectively. Clinical, laboratory, and epidemiological data were obtained by multiple specialists, and further testing was obtained based on symptoms, family history, individual risk factors, and abnormalities identified during the visit. Follow-up recommendations and diagnoses were given as appropriate. RESULTS: Between January 1, 2006, and December 31, 2019, 8,618 men and 8,486 women, average age 47.11 ± 11.71 years, were screened. Of 259 cancers detected through the ICPC, 49 (19.8%) were stage 0, 113 (45.6%) stage I, 30 (12.1%) stage II, 25 (10.1%) stage III, and 31(12.5%) stage IV. Seventeen cancers were missed, six of which were within the scope of the ICPC. Compared with the Israeli registry, at the ICPC, less cancers were diagnosed at a metastatic stage for breast (none v 3.7%), lung (6.7% v 11.4%), colon (20.0% v 46.2%), prostate (5.6% v 10.5%), and cervical/uterine (none v 8.5%) cancers. When compared with the average stage of detection in the United States, detection was earlier for breast, lung, prostate, and female reproductive cancers. Patient satisfaction rate was 8.35 ± 1.85 (scale 1-10). CONCLUSION: We present a proof of concept study for a one-stop-shop approach to cancer screening in a multidisciplinary outpatient clinic. We successfully detected cancers at an early stage, which has the potential to reduce morbidity and mortality as well as offer substantial cost savings.[Media: see text].

Urban attributes and the spread of COVID-19: The effects of density, compliance and socio-political factors in Israel.

Current debates identifying urban population density as a major catalyst for the spread of COVID-19, and the praise for de-densification and urban sprawl that they entail, may have dire environmental consequences. Juxtaposing competing theories about the urban antecedents of COVID-19, our key argument is that urban political attributes overshadow the effects of cities' spatial characteristics. This is true even when considering levels of compliance with movement restrictions and controlling for demographic and socio-economic conditions. Taking advantage of Israel as a living lab for studying COVID-19, we examine 271 localities during the first 3 months of the outbreak in Israel, a country where over 90% of the population is urban. Rather than density, we find social makeup and politics to have a critical effect. Cities with some types of political minority groups, but not others, exhibit higher infection rates. Compliance has a significant effect and density's influence on the spread of the disease is contingent on urban political attributes. We conclude with assessing how the relationship between the politics of cities and the spread of contagious diseases sheds new light on tensions between neo-Malthusian sentiments and concerns about urban sprawl and environmental degradation.

Women, Demography, and Politics: How Lower Fertility Rates Lead to Democracy.

Where connections between demography and politics are examined in the literature, it is largely in the context of the effects of male aspects of demography on phenomena such as political violence. This project aims to place the study of demographic variables' influence on politics, particularly on democracy, squarely within the scope of political and social sciences, and to focus on the effects of woman-related demographics-namely, fertility rate. I test the hypothesis that demographic variables-female-related predictors, in particular-have an independent effect on political structure. Comparing countries over time, this study finds a growth in democracy when fertility rates decline. In the theoretical framework developed, it is family structure as well as the economic and political status of women that account for this change at the macro and micro levels. Findings based on data for more than 140 countries over three decades are robust when controlling not only for alternative effects but also for reverse causality and data limitations.