AimTo find evidence to suggest the best approach in patients admitted as an emergency for complicated colorectal cancer.MethodsThe medical records of 131 patients admitted as an emergency with an obstructing, perforated, or bleeding colorectal cancer to Noble’s Hospital, Isle of Man, and the Umberto I University Hospital, Rome, were retrospectively evaluated. Patients were divided in 3 groups on the basis of the emergency treatment they received, namely 1) immediate resection, 2) damage control procedure and elective or semielective resection, and 3) no radical treatment. Demographic variables, clinical data, and treatment data were considered, and formed the basis for the comparison of groups. Primary endpoints were 90-day mortality and morbidity. Secondary endpoints were length of stay, number of lymph nodes analyzed, rate of radical R0 resections, and the number of patients who had chemoradiotherapy.ResultsForty-two patients did not have any radical treatment because the cancer was too advanced or they were too ill to tolerate an operation, 78 patients had immediate resection and 11 had damage control followed by elective resection. There was no statistically significant difference between immediate resections and 2-stage treatment in 90-day mortality and morbidity (mortality: 15.4% vs 0%; morbidity: 26.9% vs 27.3%), number of nodes retrieved (16.6±9.4 vs 14.9±5.7), and rate of R0 resections (84.6% vs 90.9%), but mortality was slightly higher in patients who underwent immediate resection. The patients who underwent staged treatment had a higher possibility of receiving a laparoscopic resection (11.5% vs 36.4%).ConclusionThe present study failed to demonstrate a clear superiority of one treatment with respect to the other, even if there is an interesting trend favoring staged resection.
Background The status of health of an individual and - more broadly - of a community or population is defined by the status of their determinants of health. A “systemic” approach to define the health determinants is necessary in order to explore the complex relations existing among them. This study is aimed at identifying a ‘composite systemic’ index of health to measure the impact of socioeconomic factors on public health at local level and to analyze possible spatial autocorrelations between neighboring regions. Methods A Composite Index of Health (CIH) was constructed on the basis of known indicators of socio-economic well being by using the COMIC (COMposite Indices Creator) Software and was validated on the Italian population and a nationwide comparison has been performed. Results Analysis of the determinants showed a significant direct correlation between health, environment, work and wealth and inverse correlation between health and social distress. The analysis of data from Italian provinces confirmed the South-North gradient of well-being. Conclusions The CIH is a reliable and robust index to evaluate the health of a local population. Although it was validated on Italian data, the index can be easily adapted to any Country.
PurposeThe objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.Design/methodology/approachThe use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.FindingsIn the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.Originality/valueThe description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.
The issue of rural and marginal areas has regained centrality in recent times, also due to the fact that rural areas actively participate in the EU’s green and digital transition. The starting point of the paper is the concept of fair and sustainable well-being, which has been interpreted differently in relation to the diversity of territories and particularly in relation to the differences between urban and rural areas. The objective of this work is the construction of a synthetic index of the welfare of European countries through the Wroclaw taxonomic method and through the use of logit models for the identification of best practices of local realities and the interpretation in a more immediate way of the fair and sustainable welfare of each European country at a rural level.
Background The status of health of an individual and - more broadly - of a community or population is defined by the status of their determinants of health. A “systemic” approach to define the health determinants is necessary in order to explore the complex relations existing among them. This study is aimed at identifying a ‘composite systemic’ index of health to measure the impact of socioeconomic factors on public health at local level and to analyze possible spatial autocorrelations between neighboring regions. Results A Composite Index of Health (CIH) was constructed on the basis of known indicators of socio-economic well-being by using the COMIC (COMposite Indices Creator) Software and was validated on the Italian population and a nationwide comparison has been performed. Analysis of the determinants showed a significant direct correlation between health, environment, work and wealth and inverse correlation between health and social distress. The analysis of data from Italian provinces confirmed the South-North gradient of well-being. Conclusion The CIH is a reliable and robust index to evaluate the health of a local population. Although it was validated on Italian data, the index can be easily adapted to any Country.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.