Alexandros Mitsis

Mr. Alexandros Mitsis

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 May 2025 in Cancers
Verified
Journal Article
Open access
PDF file
AMAlexandros Mitsis
Alexandros Mitsis
PFPanagiotis Filis
Panagiotis Filis
GKGeorgia Karanasiou
Georgia Karanasiou
Eleni GeorgaEleni Georga
Eleni Georga
Davide MauriDavide Mauri
Davide Mauri
Dimitrios FotiadisDimitrios Fotiadis
Dimitrios Fotiadis
Background/Objectives: The prevalence of breast cancer (BC) is significant globally. The malignancy itself and the related treatments have a considerable impact on patients’ overall well-being. The adoption of e-health solutions for patients is increasing rapidly worldwide, since these innovative tools hold significant potential to positively impact the mental health and quality of life (QoL) of BC patients. However, their overall impact is still being explored, and further understanding and analysis are required. This review paper aims to present, quantify, and summarize the cumulative available randomized evidence on the state of the art of supportive interventions delivered via e-health applications for patients’ mental health and QoL before, during, and after BC treatment. Methods: A systematic review was conducted following the PRISMA guidelines in the Scopus and PubMed databases on 7 November 2024 to identify studies that utilized internet-based interventions in BC patients. The inclusion criteria were as follows: adult men and women (aged > 18 years) diagnosed with breast cancer (BC) who received patient-directed e-health interventions, compared to standard care or control interventions. The studies had to focus on outcomes such as quality of life (QoL), anxiety, depression, and distress, and be limited to randomized controlled trials (RCTs). The PRISMA-P guidelines were followed. Risk of bias was assessed using the Cochrane risk-of-bias (RoB) tool for randomized controlled trials. Results: A total of 27 randomized studies, involving 2898 patients, were included in this systematic review. The e-health interventions significantly affected patients’ anxiety (SMD = −0.80; 95% CI: −1.33 to −0.27; p < 0.01; and I2 = 94%), depression (SMD = −0.74; 95% CI: −1.40 to −0.09; p = 0.026; and I2 = 95%) and QoL (SMD = 0.65; 95% CI: 0.27 to 1.04; p < 0.01; and I2 = 90%) but had no significant effect on distress (SMD = −0.78; 95% CI: −1.93 to 0.37; p = 0.184; and I2 = 95%). Conclusions: This study showed that e-health interventions can improve QoL, reduce anxiety, and decrease depression in adult BC patients. However, no noticeable impact on reducing distress levels was observed. Additionally, given the diversity of interventions, these results should be interpreted with caution. To determine the optimum duration, validate different intervention approaches, and address methodological gaps in previous studies, more extensive clinical studies are needed.

6 January 2025 in Healthcare
Verified
Journal Article
Open access
PDF file
PSPantelis Syringas
Pantelis Syringas
VPVassiliki T. Potsika
Vassiliki T. Potsika
NTNikolaos Tachos
Nikolaos Tachos
APAthanasios Pardalis
Athanasios Pardalis
CPChristoforos Papaioannou
Christoforos Papaioannou
Dimitrios FotiadisDimitrios Fotiadis
Dimitrios Fotiadis
Background/Objectives: Spasticity commonly occurs in individuals after experiencing a stroke, impairing their hand function and limiting activities of daily living (ADLs). In this paper, we introduce an exoskeletal aid, combined with a set of augmented reality (AR) games consisting of the Rehabotics rehabilitation solution, designed for individuals with upper limb spasticity following stroke. Methods: Our study, involving 60 post-stroke patients (mean ± SD age: 70.97 ± 4.89 years), demonstrates significant improvements in Ashworth Scale (AS) scores and Box and Block test (BBT) scores when the Rehabotics solution is employed. Results: The intervention group showed slightly greater improvement compared to the control group in terms of the AS (−0.23, with a confidence interval of −0.53 to 0.07) and BBT (1.67, with a confidence interval of 1.18 to 2.16). Additionally, the Rehabotics solution was particularly effective for patients with more severe deficits. Patients with an AS score of 3 showed more substantial improvements, with their AS scores increasing by −1.17 ± 0.39 and BBT scores increasing by −4.83 ± 0.72. Conclusions: These findings underscore the potential of wearable hand robotics in enhancing stroke survivors’ hand rehabilitation, emphasizing the need for further investigations into its broader applications.