Introduction: Wide local excision and adjuvant radiotherapy is the standard of care for early breast cancer. For large tumours, however, mastectomy is frequently recommended as conventional breast-conserving techniques often result in poor cosmetic outcomes. Therapeutic mammaplasty (TM) may extend the boundaries of breast-conserving surgery by combining breast reduction and mastopexy techniques with tumour excision, preserving a natural breast shape and avoiding the need for mastectomy. The prevalence of this operative option among surgeons in the UK and its success rate are unknown. The TeaM study is a multicentre prospective study that aims to investigate the practice and outcomes of TM.
Methods And Analysis: Breast centres performing TM will be invited to participate through the research collaborative network and the professional associations. All patients undergoing TM between September 2016 and March 2017 will be included. Demographic, operative, oncological and complication data within 30-days of surgery will be collected. The primary outcome will be unplanned re-operation for complications. Secondary outcomes will include unplanned readmission, re-excision rates and time to adjuvant therapy. Prospective data on 500 patients from 50 centres are anticipated. Exploratory analyses will identify predictors for complications and inform the design of a definitive study.
Ethics And Dissemination: Research ethics approval is not required for this study. This has been confirmed by the on-line Health Research Authority decision tool. This study will provide novel information regarding the practice and outcomes of TM in the UK. This will inform decision-making for patients and surgeons and inform future research. Dissemination of the study protocol will be via the Mammary Fold Academic and Research Collaborative, the Reconstructive Surgery Trials Network and the professional associations, the Association of Breast Surgery and British Association of Plastic, Reconstructive and Aesthetic Surgeons. Results will be presented at relevant surgical conferences and published in peer-reviewed journals.
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http://dx.doi.org/10.1016/j.isjp.2016.08.001 | DOI Listing |
Clin Trials
January 2025
Department of Biostatistics, University of Florida, Gainesville, FL, USA.
Introduction: The sequential parallel comparison design has emerged as a valuable tool in clinical trials with high placebo response rates. To further enhance its efficiency and effectiveness, adaptive strategies, such as sample size adjustment and allocation ratio modification can be employed.
Methods: We compared the performance of Jennison and Turnbull's method and the Promising Zone approach for sample size adjustment in a two-phase sequential parallel comparison design study.
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Br J Hosp Med (Lond)
January 2025
Nursing Department, Zhang Ye People's Hospital Affiliated to Hexi University, Zhangye, Gansu, China.
Diabetes is a chronic lifelong condition that requires consistent self-care and daily lifestyle adjustments. Effective disease management involves regular blood glucose monitoring and ongoing nursing support. Inadequate education and poor self-management are key factors contributing to increased mortality among diabetic individuals.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Surgery & Cancer, Imperial College London, London, UK.
Predictive algorithms have myriad potential clinical decision-making implications from prognostic counselling to improving clinical trial efficiency. Large observational (or "real world") cohorts are a common data source for the development and evaluation of such tools. There is significant optimism regarding the benefits and use cases for risk-based care, but there is a notable disparity between the volume of clinical prediction models published and implementation into healthcare systems that drive and realise patient benefit.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Nephrology Department, Sunderland Royal Hospital, Sunderland, UK.
Patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) face considerable cardiorenal morbidity and mortality despite existing therapies. Recent clinical trials demonstrate the efficacy of finerenone, a novel non-steroidal mineralocorticoid receptor antagonist, in reducing adverse renal and cardiovascular outcomes. This editorial briefly reviews the evidence and its implications for clinical practice, advocating the use of finerenone in these high-risk patients in combination with currently established treatment agents.
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