Breast cancer is the most prevalent malignant neoplasm among women. Its treatment comprises different strategies. Telehealth can ensure continuity of care in distant locations. This study aimed to synthesize qualitative evidence of women's experiences with telehealth during the treatment and follow-up of breast cancer. We performed a qualitative systematic review and meta-synthesis. The databases included in the search were: Pubmed, EMBASE, CINAHAL, and Web of Science. The search combined the terms: breast cancer, telemedicine, telehealth, and qualitative study. The studies included were: qualitative design and mixed methods studies with qualitative components. The COREQ Checklist assisted in assessing the quality of included studies and an adaptation of thematic analysis for the qualitative meta-synthesis. We included twelve articles in the review. In the meta-synthesis, 3 themes emerged. (1) Structure: simple design and space to obtain information but in need of adjustments. (2) Usability: about the benefits and limitations of telehealth. (3) Interaction with health professionals. Telehealth is an accepted strategy for the clinical care of women with breast cancer. Patients identified the need for improvements in structure, usability, and interaction. PROTOCOL REGISTRATION: PROSPERO registration number CRD42021228326, registered 06/02/2021.
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http://dx.doi.org/10.1016/j.clbc.2022.11.001 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
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