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http://dx.doi.org/10.1161/JAHA.120.020031 | DOI Listing |
J Orthop Traumatol
January 2025
Department of Medical Imaging, Chi Mei Medical Center, Tainan, Taiwan.
Background: Various prediction models have been developed for extremity metastasis and sarcoma. This systematic review aims to evaluate extremity metastasis and sarcoma models using the utility prediction model (UPM) evaluation framework.
Methods: We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and systematically searched PubMed, Embase, and Cochrane to identify articles presenting original prediction models with 1-year survival outcome for extremity metastasis and 5-year survival outcome for sarcoma.
Genes Genomics
January 2025
Cytogenetics Laboratory, Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
Background: Cervical cancer is the fourth most common cancer worldwide in females. This occurs primarily due to the infection of high-risk Human Papilloma Virus (HPV), although in advanced stages it requires support from host cellular factors. BRN3A is one such host cellular factors, whose expression remains high in cervical cancers and upregulates tumorigenic HPV gene expression.
View Article and Find Full Text PDFLangenbecks Arch Surg
January 2025
Department of General Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China.
Background: In the last two decades, robotic-assisted gastrectomy has become a widely adopted surgical option for gastric cancer (GC) treatment. Despite its popularity, postoperative complications can significantly deteriorate patient quality of life and prognosis. Therefore, identifying risk factors for these complications is crucial for early detection and intervention.
View Article and Find Full Text PDFFront Oncol
January 2025
School of Nursing, Chengdu Medical College, Chengdu, China.
Objective: Presentation delay of cancer patients prevents the patient from timely diagnosis and treatment leading to poor prognosis. Predicting the risk of presentation delay is crucial to improve the treatment outcomes. This study aimed to develop and validate prediction models of presentation delay risk in gastric cancer patients by using various machine learning models.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Background: Patients with vertebral compression fractures may experience unpredictable residual pain following vertebral augmentation. Clinical prediction models have shown potential for early prevention and intervention of such residual pain. However, studies focusing on the quality and accuracy of these prediction models are lacking.
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