Accès ouvert
2026
article
OpenAlex
Antonia L. Stengler, Jörg Kleeff, Lisa Rieder, James C. Glasbey et autres
BACKGROUND: During the COVID-19 pandemic, prioritization of COVID-19 patients led to delays in oncological surgery, potentially impacting patient outcomes. This analysis examines the effects of surgical delays in various tumor entities on resectability and postoperative mortality. METHODS: Data from the COVIDSurg Cancer …
de, gb
(code pays fourni par la source)
2026
article
OpenAlex
Antonia Stengler, Jörg Kleeff, Lisa Rieder, James Glasbey et autres
Accès ouvert
2024
article
OpenAlex
Maria Picciochi, Adesoji Ademuyiwa, Adewale Adisa, Anita Eseenam Agbeko et autres
Technological advancement is important to improve healthcare quality and safety, especially in surgery1. For patients with an inguinal hernia, mesh and minimally invasive surgery are the two main technologies that have improved healthcare quality and safety2,3. The use of mesh is proven …
gb
(code pays fourni par la source)
Accès ouvert
2022
article
OpenAlex
Christina Fotopoulou, Tabassum Khan, Juraj Bracinik, James Glasbey et autres
BACKGROUND: The CovidSurg-Cancer Consortium aimed to explore the impact of COVID-19 in surgical patients and services for solid cancers at the start of the pandemic. The CovidSurg-Gynecologic Oncology Cancer subgroup was particularly concerned about the magnitude of adverse outcomes caused by the …
gb, us, es, it, jp, tr, Ghana, sg, co, in, de
(code pays fourni par la source)
Accès ouvert
2021
article
OpenAlex
James Glasbey, Adesoji Ademuyiwa, Adewale Adisa, Ehab Alameer et autres
BACKGROUND: Surgery is the main modality of cure for solid cancers and was prioritised to continue during COVID-19 outbreaks. This study aimed to identify immediate areas for system strengthening by comparing the delivery of elective cancer surgery during the COVID-19 pandemic in …
gb
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Accès ouvert
2021
article
OpenAlex
I Dajti, José Ignacio Valenzuela, L Boccalatte, Nicolas A Gemelli et autres
To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found …
fr
(code pays fourni par la source)
2003
article
OpenAlex
Mario Morino, G. Giraudo, A. E. Allaix, M Caldart et autres
2001
article
OpenAlex
G. Giraudo, Riccardo Brachet Contul, M Caccetta, Mario Morino
it
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