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Objective: To provide an updated evaluation of clinical effectiveness and sequelae of maxillomandibular advancement surgery in obstructive sleep apnea.

Data Sources: PubMed, Scopus, CINAHL.

Review Methods: Included studies described patients with obstructive sleep apnea that completed maxillomandibular advancement with any reported sequelae.

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Background: Addressing oculoplastic conditions in the preoperative period ensures both the safety and functional success of any ophthalmic procedure. Some oculoplastic conditions, like nasolacrimal duct obstruction, have been extensively studied, whereas others, like eyelid malposition and thyroid eye disease, have received minimal or no research.

Aim: To investigate the current practice patterns among ophthalmologists while treating concomitant oculoplastic conditions before any subspecialty ophthalmic intervention.

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Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.

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Introduction Preoperative fasting is essential in surgical care to reduce the risk of pulmonary aspiration during anesthesia. International guidelines, such as those from the American Society of Anesthesiologists (ASA) and the European Society of Anaesthesiology (ESA), recommend fasting durations of six hours for solids and two hours for clear liquids. However, adherence to these guidelines often varies in clinical practice, leading to prolonged fasting times that can negatively impact patient outcomes, including dehydration, hypoglycemia, discomfort, and delayed recovery.

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Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP).

Methods: A total of 372 PMP patients were consecutively included from a prospective follow-up database between 1 June 2013 and 1 June 2023. Nine potential variables, namely, gender, age, Barthel Index (BAI), hemoglobin (Hb), albumin (Alb), D-dimer, carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA 125), and CA 19-9, were estimated using multiple linear regression (MLR) analysis with a stepwise selection procedure.

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