Browsing by Author "Capela, Andreia"
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- Evaluation of current antiemetic therapy response in patients undergoing MEC or HEC regimens in PortugalPublication . Araújo, António; Tavares, Nuno; Faria, Ana Luísa; Gomes, Rosa; Mendonça, Joana Carvalho; Parente, Bárbara; Capela, Andreia; Barata, Fernando; Macedo, AnaChemotherapy-induced nausea and vomiting (CINV) negatively impact cancer patients' quality of life and treatment outcomes. This study evaluated the achievement of complete response to CINV prophylaxis during the first five days after chemotherapy in adult outpatient cancer clinics with solid malignant tumours receiving Moderate or Highly Emetogenic Chemotherapy (MEC or HEC) in Portugal. During the study, patients completed three evaluations, and nausea severity and CINV impact on patients' daily life was assessed. A complete response (no emetic episodes, no use of rescue antiemetic medication, and no more than mild nausea) was observed in 72% of the cycles (N = 161) throughout the five days after chemotherapy. Amongst the patient population, 25% classified their CINV episodes as severe. Though more than half of the patients achieved a complete response, suggesting that a therapeutic effort is being made to minimise this side effect, the overall scenario is barely optimistic. Significantly, new CINV-control measures in MEC/HEC patients should be adopted, specifically avoiding the single use of dexamethasone and 5-HT3 and raising awareness of using NK1-RAs. Thus, it is critical to improve CINV prophylactic treatment and implement practical international antiemetic guidelines in Portuguese clinical practice, envisaging the improvement of supportive care for cancer patients.
- Impact of physical exercise programs in breast cancer survivors on health-related quality of life, physical fitness, and body composition: Evidence from systematic reviews and meta-analysesPublication . Joaquim, Ana; Leão, Inês; Antunes, Pedro; Capela, Andreia; Viamonte, Sofia; Alves, Alberto J.; Helguero, Luísa A.; Macedo, AnaBackground: Breast cancer is the most common cancer worldwide, and despite remarkable progress in its treatment, the survivors' quality of life is hampered by treatment-related side effects that impair psychosocial and physiological outcomes. Several studies have established the benefits of physical exercise in breast cancer survivors in recent years. Physical exercise reduces the impact of treatment-related adverse events to promote a better quality of life and functional outcomes.Aim: This study aims to provide an overview of systematic reviews and meta-analyses on the effect of physical exercise on the health-related quality of life, cardiorespiratory fitness, muscle strength, and body composition of breast cancer survivors.Methods: PubMed and Cochrane databases were searched for systematic reviews and meta-analyses from January 2010 to October 2022. The main focus was ascertaining the effectiveness of physical exercise in breast cancer survivors undergoing curative treatment (surgery and/or radiotherapy and/or chemotherapy). Two reviewers independently screened the literature, extracted the data, and assessed the risk of bias in the included studies.Results: A total of 101 studies were identified, and 12 were yielded for final analysis. The eligible studies included nine systematic reviews/meta-analyses, one meta-analysis/meta-regression, and two systematic reviews. The number of randomised clinical trials included in each review varied from 11 to 63, and the number of participants was from 214 to 5761. A positive and significant effect of different physical exercise interventions on health-related quality of life was reported in 83.3% (10 studies) of the eligible studies. Physical exercise also improved cardiorespiratory fitness (3 studies; 25%) and showed to be effective in reducing body weight (3 studies; 25%) and waist circumference (4 studies; 33.3%).Conclusions: Our results suggest that physical exercise is an effective strategy that positively affects breast cancer survivors' quality of life, cardiorespiratory fitness, and body composition. Healthcare professionals should foster the adoption of physical exercise interventions to achieve better health outcomes following breast cancer treatments.
- Multinational attitudes toward AI in Health Care and diagnostics among Hospital patients.Publication . Busch, Felix; Hoffmann, Lena; Xu, Lina; Zhang, Long Jiang; Hu, Bin; García-Juárez, Ignacio; Toapanta-Yanchapaxi, Liz; Gorelik, Natalia; Gorelik, Valérie; Rodriguez-Granillo, Gaston; Ferrarotti, Carlos; Cuong, Nguyen; Thi, Chau; Tuncel, Murat; Kaya, Gürsan; Solis-Barquero, Sergio; Mendez Avila, Maria; Ivanova, Nevena; Kitamura, Felipe; Hayama, Karina; Puntunet Bates, Monserrat; Torres, Pedro Iturralde; Ortiz-Prado, Esteban; Izquierdo-Condoy, Juan; Schwarz, Gilbert; Hofstaetter, Jochen; Hide, Michihiro; Takeda, Konagi; Peric, Barbara; Pilko, Gašper; Thulesius, Hans; Lindow, Thomas; Kolawole, Israel; Olatoke, Samuel Adegboyega; Grzybowski, Andrzej; Corlateanu, Alexandru; Iaconi, Oana-Simina; Li, Ting; Domitrz, Izabela; Kepczynska, Katarzyna; Mihalcin, Matúš; Fašaneková, Lenka; Zatonski, Tomasz; Fulek, Katarzyna; Molnár, András; Maihoub, Stefani; da Silva Gama, Zenewton; Saba, Luca; Sountoulides, Petros; Makowski, Marcus; Aerts, Hugo; Adams, Lisa; Bressem, Keno; Navarro, Álvaro Aceña; Águas, Catarina; Aineseder, Martina; Alomar, Muaed; Al Sliman, Rashid; Anand, Gautam; Angkurawaranon, Salita; Aoki, Shuhei; Arkoh, Samuel; Ashraf, Gizem; Astri, Yesi; Bakhshi, Sameer; Bayramov, Nuru; Billis, Antonis; Bitencourt, Almir; Bolejko, Anetta; Bollas Becerra, Antonio; Bwambale, Joe; Capela, Andreia; Cau, Riccardo; Chacon-Acevedo, Kelly; Chaunzwa, Tafadzwa; Chojniak, Rubens; Clements, Warren; Cuocolo, Renato; Dahlblom, Victor; Sousa, Kelienny de Meneses; Villarrubia, Jorge Esteban; Desai, Vijay; Dhakal, Ajaya; Dignum, Virginia; Andrade, Rubens G. Feijo; Ferraioli, Giovanna; Ganguly, Shuvadeep; Garg, Harshit; Savevska, Cvetanka Gjerakaroska; Radovikj, Marija Gjerakaroska; Gkartzoni, Anastasia; Gorospe, Luis; Griffin, Ian; Hadamitzky, Martin; Ndahiro, Martin Hakorimana; Hering, Alessa; Hochhegger, Bruno; Huseynova, Mehriban; Ishida, Fujimaro; Jha, Nisha; Jiang, Lili; Kader, Rawen; Kavnoudias, Helen; Klein, Clément; Kolostoumpis, George; Koshy, Abraham; Kruger, NicholaS; Löser, Alexander; Lucijanic, Marko; Mantziari, Despoina; Margue, Gaelle; McFadden, Sonyia; Miyake, Masahiro; Morakote, Wipawee; Ngabonziza, Issa; Nguyen, Thao; Niehues, Stefan; Nortje, Marc; Palaian, Subish; Pentara, Natalia; Poma, Gianluigi; Almeida, Rui; Purwoko, Mitayani; Pyrgidis, Nikolaos; Rafailidis, Vasileios; Rainey, Clare; Ribeiro, João; Agudelo, Nicolás Rozo; Sado, Keina; Saidman, Julia; Saturno-Hernandez, Pedro; Suryadevara, Vidyani; Schulz, Gerald; Soric, Ena; Soto-Pérez-Olivares, Javier; Stanzione, Arnaldo; Struck, Julian Peter; Takaoka, Hiroyuki; Tanioka, Satoru; Huyen, Tran; Truhn, Daniel; van Dijk, Elon; van Wijngaarden, Peter; Wang, Yuan-Cheng; Weidlich, Matthias; Zhang, ShuhangThe successful implementation of artificial intelligence (AI) in health care depends on its acceptance by key stakeholders, particularly patients, who are the primary beneficiaries of AI-driven outcomes. OBJECTIVES To survey hospital patients to investigate their trust, concerns, and preferences toward the use of AI in health care and diagnostics and to assess the sociodemographic factors associated with patient attitudes. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study developed and implemented an anonymous quantitative survey between February 1 and November 1, 2023, using a nonprobability sample at 74 hospitals in 43 countries. Participants included hospital patients 18 years of age or older who agreed with voluntary participation in the survey presented in 1 of 26 languages. EXPOSURE Information sheets and paper surveys handed out by hospital staff and posted in conspicuous hospital locations. MAIN OUTCOMES AND MEASURES The primary outcome was participant responses to a 26-item instrument containing a general data section (8 items) and 3 dimensions (trust in AI, AI and diagnosis, preferences and concerns toward AI) with 6 items each. Subgroup analyses used cumulative link mixed and binary mixed-effects models.