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miR-208a-3p discriminates osteoporosis, predicts fracture, and regulates osteoclast activation through targeting STC1.

J Orthop Surg Res

January 2025

Department of Rehabilitation, The Affiliated Hospital of Youjiang Medical University for Nationalities, No.18, Zhongshan 2nd Road, Baise, 533000, Guangxi Zhuang Autonomous Region, China.

Background: Osteoporosis (OP) frequently occurs in post-menopausal women, increasing the risk of fracture. Early screening OP could improve the prevention of fractures.This study focused on the significance of miR-208a-3p in diagnosing OP and development regulation, aiming to explore a novel biomarker and therapeutic target for OP.

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[Analysis of outcomes in adult deceased donor dual kidney transplantation].

Zhonghua Yi Xue Za Zhi

February 2025

Department of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 510030, China.

To investigate the efficacy of dual kidney transplantation (DKT) from adult donors. Clinical data of adult DKT donors and recipients in the Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2015 to June 2024 were retrospectively analyzed. The patients were followed up until September 2024.

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To establish and validate a nomogram based on clinical characteristics and metabolic parameters derived from F-fluorodeoxyglucose positron emission tomography and computed tomography (F-FDG PET/CT) for prediction of high-grade patterns (HGP) in invasive lung adenocarcinoma. The clinical and PET/CT image data of 311 patients who were confirmed invasive lung adenocarcinoma and underwent pre-treatment F-FDG PET/CT scan in Beijing Hospital between October 2017 and March 2022 were retrospectively collected. The enrolled patients were divided into HGP group (196 patients) and non-HGP group (115 patients) according to the presence and absence of HGP.

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Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

JMIR Med Inform

January 2025

Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.

Background: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.

Objective: This study aimed to comprehensively collect variables from multiple aspects, develop and validate machine learning models to achieve precise prediction of PPD, and interpret the model to reveal clinical implications.

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Introduction: Cystic echinococcosis is a widely endemic helminthic disease caused by infection with metacestodes (larval stage) of the Echinococcus granulosus tapeworm, which is transmitted by dogs and found on every continent except Antarctica. We sought to review the life cycle, epidemiology, symptoms, diagnostic methods, and treatment of Echinococcus granulosus of the liver.

Methods: A comprehensive review was conducted using Medline/PubMed, Google Scholar, Cochrane Library, and the Web of Science accessed between 1990 and 2024.

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