The effects of cancer surgery and treatment harm patients’ life and working ability: major causes of this can be intensified by the postoperative symptoms. This study, the first part of the HEAGIS project (Health and Employment after Gastrointestinal Surgery), proposes a method to assess patients and caregivers’ competences in dealing with postoperative course and the related needs to improve the adequate competences. In this observational study, an ad hoc structured interview was conducted with 47 patients and 15 caregivers between the third and fifteenth postoperative day. Oesophageal (38%), esophagogastric junction (13%), gastric (30%), colon (8%) and rectum (11%) cancer patients were considered. Computerized textual data analysis methodology was used to identify levels of competences. Text analysis highlighted three different levels (low, medium and high) of four specific types of patients and caregivers’ competences. In particular, the overall trend of the preview of future scenarios and use of resource competences was low. Less critical were situation evaluation and preview repercussion of own actions’ competences. Caregivers’ trends were similar. The Kruskal–Wallis test did not distinguish any differences in the level of competences related to the characteristics of the participants. Patients and caregivers are not accurate in planning the future after surgery, using personal beliefs rather than referring to physicians, and not recognizing adequate resources. The medium-low competences’ trend leads to unexpected critical situations, and patients could not deal with them in a maximally effective way. Both patients and caregivers should be taken over by healthcare professionals to improve patients’ competences and make the curative surgery effective in daily life.
Meaning and translation are never-ending issues that constantly challenge researchers who work in cross-cultural settings, especially when the focus is on how people use language to express and interact in relation to their distress experiences. Many efforts have been undertaken in order to try to understand and manage the content variance that can emerge from context and linguistic differences. The present study aims at offering its contribution on this topic by presenting MADIT methodology, an innovative textual analysis that focuses on the processual use of language. Using the theoretical references of Dialogic Science, language is analysed as an interactive process, leading the researchers to observe the modalities through which language is used (the how) instead of the different contents brought by speakers (the what). After discussing the theoretical differences between content and processual analysis, we present MADIT methodology through a comparative explorative study on the discursive production about taijin kyofusho and social anxiety in Japanese and Italian contexts. The results pointed out how, going beyond the content differences and focusing on the processual interactive reality generated through language, it is possible to observe cross-cultural similarities in the use of language to shape distress experiences.
The phenomenon of fake news has grown concurrently with the rise of social networks that allow people to directly access news without the mediation of reliable sources. Recognizing news as fake is a difficult task for humans, and even tougher for a machine. This proposal aims to redesign the problem: from a check of truthfulness of news content, to the analysis of texts’ persuasion level. That is how information is introduced to the reader, assuming that fake news is aimed at persuading towards the reality of sense they intend to convey. M.A.D.I.T. methodology has been chosen. It is useful to describe how texts are built, overcoming the content/structure analysis level and stressing the study of Discursive Repertories: discursive modalities of reality of sense building, classified into real and fake news categories thanks to the Machine learning application. For the dataset building 7,387 news have been analysed. The results highlight different profiles of text building between the two groups: the different and typical discursive repertories allow to validate the methodological approach as a good predictor of the persuasion level of texts, not only of news, but also of information in domains such as the economic financial one (e.g. GameStop event).
Meaning and translation are never-ending issues that constantly challenge researchers who work in cross-cultural settings, especially when the focus is on how people use language to express and interact in relation to their distress experiences. Many efforts have been undertaken in order to try to understand and manage the content variance that can emerge from context and linguistic differences. The present study aims at offering its contribution on this topic by presenting MADIT methodology, an innovative textual analysis that focuses on the processual use of language. Using the theoretical references of Dialogical science, language is analysed as an interactive process, leading the researchers to observe the modalities through which language is used (the how) instead of the different contents brought by speakers (the what). After discussing the theoretical differences between content and processual analysis, we present MADIT methodology through a comparative explorative study on the discursive production about Taijin Kyofusho and social anxiety in Japanese and Italian contexts. The results of this exploratory research pointed out how, going beyond the content differences and focusing on the processual interactive scenario generated through language, it’s possible to observe cross-cultural similarities in the use of language to shape distress experiences.
Conclusion: Hepatectomy combined with BDR for the HCC patients with BDTT offers decreasing recurrence at 1year, better survival at 1-year and 3-year but similar longterm survival and should be considered when feasible. Further randomised controlled trials are necessary to determine the prognostic effects of the addition of BDR to the surgical procedure.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.