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Red Breast Syndrome-Where Has It Gone?: A Systematic Review of Red Breast Syndrome Incidence Overtime.
Ann Plast Surg
February 2025
Division of Plastic & Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA.
Background: Red breast syndrome (RBS) has been noted in past literature as a possible complication of implant-based breast reconstruction (IBBR) with the use of acellular dermal matrices (ADMs). Since its first appearance in 2009, RBS has drawn growing medical attention with reported incidence ranging from 7%-9%. There has been a noted decrease in the emergence of RBS despite its inclusion among the analyzed complications in a number of studies.
View Article and Find Full Text PDFObjective: Sodium-glucose cotransporter (SGLT) 2 inhibitors are expected to demonstrate secondary effects against malignancy. However, long-term and large-scale data are required to evaluate the effects of SGLT2 inhibitors on malignancy, which has not been sufficiently studied in clinical practice. This study aimed to evaluate the association between SGLT2 inhibitors and malignancy using the spontaneous adverse reaction database.
View Article and Find Full Text PDFTissue-Resident Memory T Cells in Tumor Immunity and Immunotherapy of Digestive System Tumors.
Immunol Invest
January 2025
Department of Oncology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, China.
Tissue-resident memory T (TRM) cells possess unique abilities to migrate, establish themselves in tissues, and monitor peripheral tissues without circulating. They are crucial in providing long-lasting and local immune protection against surface infections. TRMs demonstrate distinct phenotypic and functional characteristics compared to central memory T (Tcm) cells and effector memory T (Tem) cells.
View Article and Find Full Text PDFGlobal research trends in the application of artificial intelligence in oncology care: a bibliometric study.
Front Oncol
January 2025
Department of Nursing, Jinjiang Municipal Hospital, Quanzhou, China.
Objective: To use bibliometric methods to analyze the prospects and development trends of artificial intelligence(AI) in oncology nursing from 1994 to 2024, providing guidance and reference for oncology nursing professionals and researchers.
Methods: The core set of the Web of Science database was searched for articles from 1994 to 2024. The R package "Bibliometrix" was used to analyze the main bibliometric features, creating a three-domain chart to display relationships among institutions, countries, and keywords.
Research progress of breast cancer surgery during 2010-2024: a bibliometric analysis.
Front Oncol
December 2024
Department of Pharmacy, Xinjiang Key Laboratory of Neurological Diseases, Xinjiang Clinical Research Center for Nervous System Diseases, Second Affiliated Hospital of Xinjiang Medical University, Ürümqi, Xinjiang, China.
Purpose: This study seeks to systematically analyze the research literature pertaining to breast cancer surgery from 2010 to 2024, as indexed in the PubMed database, employing bibliometric methodologies.
Methods: Employing the "bibliometrix" package in the R programming language, alongside VOSviewer and CiteSpace software, this research conducted a comprehensive visual analysis of 1,195 publications. The analysis encompassed publication trends, collaborative networks, journal evaluation, author and institutional assessments, country-specific analyses, keyword exploration, and the identification of research hotspots.
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