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Introduction: Endometriosis is a chronic hormone-dependent disease affecting approximately 25-30% of women in the third and fourth decade. Despite its frequency, it is often detected late. The aim of this overview article was to present a standardized treatment algorithm for an interdisciplinary endometriosis consultation considering conservative and surgical approaches.
Evidence Acquisition: Despite the frequency of endometriosis and a high number of publications dealing with the disease there is a lack of evidence in literature for standardized treatment algorithms allowing a rational diagnostic and therapeutic approach. In May 2019 we did a literature search in Medline. While finding 26702 publications under the term "endometriosis" there was only one publication for the search term "endometriosis consultation treatment algorithm." After screening the abstracts 144 publications in English, French or German language had been assessed as relevant for the diagnosis and therapy of endometriosis (143 overview articles and one guideline).
Evidence Synthesis: Based on clinical evidence, we have developed a treatment algorithm for women with suspected endometriosis. The diagnosis includes a structured medical history with the identification of endometriosis-typical symptoms and a gynecological examination, if necessary additional examinations. The treatment algorithm is essentially divided into the phase of diagnosis and the phase of therapy as well as the prevention of recurrence or long-term treatment. A multi-professional team of visceral surgery, urology, nutritional medicine, physiotherapy and psychology can be consulted for support.
Conclusions: The treatment of endometriosis should be multiprofessional, standardized and reproducible during specialized consultations at certified centers. So far, there are few publications on a standardized and clinically proven treatment algorithm for women with suspected endometriosis. The presented treatment algorithm could be helpful in the diagnosis and treatment of endometriosis patients, even at other centers.
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http://dx.doi.org/10.23736/S0026-4784.20.04490-1 | DOI Listing |
JMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFDiabetologia
September 2025
Walther Straub Institute of Pharmacology and Toxicology, LMU Munich, Munich, Germany.
Aims/hypothesis: Unimolecular peptides targeting the receptors for glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and glucagon (GCG) have been shown to improve glycaemic management in both mice and humans. Yet the identity of the downstream signalling events mediated by these peptides remain to be elucidated. Here, we aimed to assess the mechanisms by which a validated peptide triagonist for GLP-1/GIP/GCG receptors (IUB447) stimulates insulin secretion in murine pancreatic islets.
View Article and Find Full Text PDFBackground: The growing use of artificial intelligence (AI) in health care raises concern, as nursing students are not adequately educated on its use in practice. This study evaluated the effect of an AI education module on undergraduate nursing students' AI literacy and anxiety.
Method: Students completed surveys measuring AI literacy and anxiety before and after the module, which included videos, articles, a presentation, and an assignment using ChatGPT.
J Am Acad Orthop Surg Glob Res Rev
September 2025
From the Harvard Medical School, Boston, MA (Gabriel, Hines, and Prabhat); the Lenox Hill Hospital, New York, NY (Dr. Ang); and the Boston Children's Hospital, Department of Orthopedic Surgery, Boston, MA (Dr. Liu and Dr. Hogue).
Purpose: The purpose of this study was to develop a comprehensive step-wise management algorithm for Bertolotti syndrome in the pediatric population by conducting a systematic review of the current literature regarding the diagnostic evaluation, nonsurgical and surgical treatment, and outcomes.
Methods: A systematic review of the literature was conducted using PubMed to identify studies focused on the management of Bertolotti syndrome in the pediatric population. Data extraction of clinical presentation, management strategies, imaging, and outcomes was completed.
Neurosurgery
September 2025
Department of Neurosurgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate.
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