Objective: This study reviews the published outcomes related to sinonasal adenoid cystic carcinoma (SNACC). Clinical presentation, radiographic diagnosis, pathology, treatment, and management outcomes of this uncommon disease are reported. Data Sources PubMed database.
Methods: A systematic review of studies for SNACC from 1960 to 2012 was conducted. A PubMed search for articles related to SNACC, along with bibliographies of those articles, was performed. Articles were examined for both individual patient data (IPD) and aggregate patient data (APD) that reported survivability. Demographics, disease site and spread, treatment strategies, follow-up, outcome, and survival were described for IPD, and a meta-analysis for survival rates was performed for APD.
Results: A total of 55 journal articles were included. Individual patient data were reported in 39 journal articles, comprising a total of 88 cases of SNACC. Sixteen articles, totaling 366 patients that reported aggregate 5-year survivorship pertaining to SNACC, were also included. Average follow-up in the IPD was 51.2 months (range, 1-198 months), and 5-year survivorship was 63.5%. In the studies reviewed, surgery followed by postoperative radiotherapy was the most common therapy used and resulted in the highest percentage of survivors. Aggregate patient data meta-analysis revealed a 5-year survival rate of 62.5%.
Conclusion: This study contains the largest pool of SNACC patients to date. The data suggest that SNACC has a poor overall prognosis. It also suggests that surgery with postoperative radiotherapy is the most commonly used and may possibly be the most effective therapy.
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http://dx.doi.org/10.1177/0194599812464020 | DOI Listing |
Clin Cardiol
January 2025
Unidad de Revisiones Sistemáticas y Meta-análisis (URSIGET), Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.
Background: There is scarce data on the prognostic value of frailty in patients with Takotsubo cardiomyopathy (TCM). This study aimed to assess the association between frailty and in-hospital outcomes in patients with TCM.
Methods: Adult admissions with TCM were included using the 2016-2019 National Inpatient Sample database.
J Vasc Access
January 2025
College of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Objective: To develop and validate a nomogram model for predicting central venous catheter-related infections (CRI) in patients with maintenance hemodialysis (MHD).
Methods: MHD patients with central venous catheters (CVCs) visiting the outpatient hemodialysis (HD) center of Xuzhou Medical University Affiliated Hospital from January 2020 to December 2023 were retrospectively selected through a HD monitoring system. Patient data were collected, and the patients were divided into training and validation sets in a 7:3 ratio.
Aust Vet J
January 2025
Vetnostics, Macquarie Park, New South Wales, Australia.
Objective: Patient characteristics of Cushing's syndrome differ between countries and have not been assessed in the Australian dog population. This study describes signalment and distribution of adrenocorticotropic hormone (ACTH)-dependent hypercortisolism (ADH) and ACTH-independent hypercortisolism (AIH) in Australian dogs.
Animals: Two-hundred client-owned dogs that had endogenous ACTH concentrations measured by radioimmunoassay.
IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFJ Pathol Clin Res
January 2025
Department of Urology, University of Duisburg-Essen, Essen, Germany.
Distinct molecular subtypes of muscle-invasive bladder cancer (MIBC) may show different platinum sensitivities. Currently available data were mostly generated at transcriptome level and have limited comparability to each other. We aimed to determine the platinum sensitivity of molecular subtypes by using the protein expression-based Lund Taxonomy.
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