Publications by authors named "S Mavroveli"
Introduction: For total hip arthroplasty (THA) to be successful, surgeons need to make several decisions ranging from implant choice to impaction force. It is unclear, however, whether and how bone quality affects surgeon's decision-making and how surgeons evaluate bone quality.
Objectives: This inductive/deductive qualitative hybrid study aims to explore the impact of bone quality on the decision-making of surgeons performing elective primary THA.
Background: Measuring psychological constructs in children presents unique challenges, as careful consideration of children's cognitive and socioemotional development is needed. The Trait Emotional Intelligence Questionnaire-Child Form (TEIQue-CF) was developed within the theoretical underpinnings of trait Emotional Intelligence theory and is predicated on primary aged children. This review aims to systematize the scientific literature on the TEIQue-CF, its corresponding short form, the TEIQue-CSF and the translated versions of these tools to identify the key outcomes predicted by these forms in children aged 8-13 years.
View Article and Find Full Text PDFBackground: Despite its recognized importance, there is currently no reliable tool for surgical quality assurance (SQA) of gastrectomy in surgical oncology. The aim of this study was to develop an SQA tool for gastrectomy and to apply this tool within the ADDICT Trial in order to assess the extent and completeness of lymphadenectomy.
Methods: The operative steps for D1+ and D2 gastrectomy have been previously described in the literature and ADDICT trial manual.
Background: An increased number of resources are allocated on cancer biomarker discovery, but very few of these biomarkers are clinically adopted. To bridge the gap between Biomarker discovery and clinical use, we aim to generate the Biomarker Toolkit, a tool designed to identify clinically promising biomarkers and promote successful biomarker translation.
Methods: All features associated with a clinically useful biomarker were identified using mixed-methodology, including systematic literature search, semi-structured interviews, and an online two-stage Delphi-Survey.