Background: axillary lymph nodes dissection (ALND) has been a standard treatment in breast cancer with positive sentinel LNs. However, various short- and long-term postoperative morbidities have been reported after conventional ALND. To define the concept of targeted axillary sampling (AS) and to assess its oncological feasibility for breast cancer. We compared the oncological outcomes in the axillary area between conventional ALND and targeted AS with or without radiotherapy.
Methods: One hundred and twenty-nine female patients with cT1-2N1 breast cancer underwent breast and axillary surgery. We defined the concept of targeted AS in clinical and pathological terms, and the oncological outcomes were compared between ALND and AS, and between AS with and without radiotherapy.
Results: There were no significant differences in oncological outcomes in the axilla between conventional ALND and AS, or between AS with radiotherapy and AS alone.
Conclusions: The 5-year oncological outcomes of targeted AS were not inferior to those of conventional ALND, regardless of whether radiotherapy was added.
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http://dx.doi.org/10.1016/j.asjsur.2018.10.004 | DOI Listing |
Res Nurs Health
January 2025
Nursing Department, Universitat Rovira i Virgili, Tarragona, Spain.
The patient activation measure (PAM), a recognized measure of how active patients are in their care, is one of the most extensively used, widely translated, and tested instruments worldwide in measuring patient activation. This study aimed to assess the psychometric properties and construct validity of the Italian version of the 13-item Patient Activation Measure (PAM13-I) among patients undergoing elective laparoscopic cholecystectomy. A multicenter study was conducted across 111 surgical units in Italy.
View Article and Find Full Text PDFInquiry
January 2025
Wayne State University School of Medicine, Detroit, MI, USA.
Hospital mergers have increased significantly since 2010, driven by factors such as healthcare policy changes, reimbursement, economies of scale, and quality improvement goals. However, limited evidence exists about how these mergers affect the quality of care and cancer outcomes. We conducted a difference-in-differences analysis to assess the impact of hospital consolidation on cancer outcomes.
View Article and Find Full Text PDFJ Orthop
August 2025
Department of Orthopaedic Surgery, Hospital Clínico San Carlos, Spanish National Reference Center for Musculoskeletal Oncological Surgery, Calle Del Prof Martín Lagos, S/N, Moncloa, 28040, Madrid, Spain.
Objectives: To describe the functional outcomes, complications, and reconstruction types in patients with periacetabular metastases and to propose an extension of the Harrington classification.
Methods: Twenty-eight patients (13 males, 15 females) with a mean age of 63.8 ± 15.
Front Cell Infect Microbiol
January 2025
Second Surgical Oncology Department, Regional Institute of Oncology, Iasi, Romania.
Introduction: Antibiotic overuse is driving a global rise in antibiotic resistance, highlighting the need for robust antimicrobial stewardship (AMS) initiatives to improve prescription practices. While antimicrobials are essential for treating sepsis and preventing surgical site infections (SSIs), they can inadvertently disrupt the gut microbiota, leading to postoperative complications. Treatment methods vary widely across nations due to differences in drug choice, dosage, and therapy duration, affecting antibiotic resistance rates, which can reach up to 51% in some countries.
View Article and Find Full Text PDFWorld J Gastrointest Surg
January 2025
Department of Minimally Invasive Digestive Surgery, Antoine-Béclère Hospital, Assistance Publique-Hôpitaux de ParisClamart 92140, Haute-Seine, France.
Anastomotic leakage (AL) is a significant complication following rectal cancer surgery, adversely affecting both quality of life and oncological outcomes. Recent advancements in artificial intelligence (AI), particularly machine learning and deep learning, offer promising avenues for predicting and preventing AL. These technologies can analyze extensive clinical datasets to identify preoperative and perioperative risk factors such as malnutrition, body composition, and radiological features.
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