A comparison of acellular dermal matrices (ADM) efficacy and complication profile in women undergoing implant-based breast reconstruction: a systematic review and network meta-analysis.

Introduction: Breast cancer is the leading cause of cancer amongst women in the United Kingdom, with implant-based reconstruction (IBR) using Acellular Dermal Matrices (ADM) gaining popularity for post-mastectomy procedures. This study compares outcomes of different ADMs that are commonly used in women undergoing IBR, this was short and long-term complications.

Methods: A systematic search of MEDLINE, Embase, CENTRAL, and CDSR databases was performed according to the PRISMA guidelines, focusing on women undergoing IBR with FlexHD, AlloDerm, Bovine, or Porcine ADMs.

Does the use of Acellular Dermal Matrices (ADM) in women undergoing pre-pectoral implant-based breast reconstruction increase operative success versus non-use of ADM in the same setting? A systematic review.

Background: Breast cancer is the most common malignancy among women in the UK. Reconstruction - of which implant-based breast reconstruction (IBBR) is the most common - forms a core part of surgical management of breast cancer. More recently, pre-pectoral IBBR has become common as technology and operative techniques have evolved.

Online Provision of and Health Information: A Search Engine Driven Systematic Web-Based Analysis.

genetic testing is available for UK Jewish individuals but the provision of information online for is unknown. We aimed to evaluate online provision of information by UK organisations (UKO), UK Jewish community organisations (JCO), and genetic testing providers (GTP). Google searches for organisations offering information were performed using relevant sets of keywords.

A systematic review of generative adversarial networks (GANs) in plastic surgery.

Introduction: Generative adversarial networks (GANs) are a form of deep learning architecture based on the zero-sum game theory, which uses real data to generate realistic fake data. GANs use two opposing neural networks working: a generator and a discriminator. They represent a powerful tool for generating realistic synthetic patient data sets and can potentially revolutionize research.

Perceptions, awareness and influences of medical students towards plastic surgery: A systematic review.

Introduction: Plastic, reconstructive and aesthetic surgery (PRAS) is a significant yet often overlooked specialty in medical school curricula. The impact of social media and unregulated information sources can distort the perceptions of medical specialties, including PRAS, leading to a decline in student interest, inappropriate referrals and strain on healthcare services. This systematic review aimed to understand the perceptions of medical students towards PRAS, identify influencing factors and explore strategies to address these influences.