Objectives: Screening recommendations for gynecologic cancers (GC) associated with Lynch syndrome (LS) are diverse. The objectives of this study were to examine among women with LS: 1) psychosocial factors that influence thoughts and choices about GC screening, and 2) information and unmet healthcare access needs when making GC screening decisions.
Methods: This study used a qualitative design. Interviews were analyzed using thematic analysis. Participants were women with LS (N = 20) recruited from Toronto, Canada. Fourteen participants had or were participating in GC screening and six had never undergone screening, however were or would be eligible for screening in the future.
Results: Five main themes were identified: understanding level of risk, women's experiences of GC screening, interactions with the health care system, considerations about risk-reducing surgery, and improving LS care.
Conclusions: Participants had many unmet healthcare needs and lacked information about screening and pain management. Self-advocacy was an important strategy for managing care.
Practice Implications: Psychoeducational interventions are important to manage uncertainty associated with LS, increasing social and informational support, and informing health care providers about best practices with this population.
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http://dx.doi.org/10.1016/j.pec.2024.108576 | DOI Listing |
Croat Med J
December 2024
Athanasios, Nafpliou 1 C, Gerakas 15344, Athens, Greece,
Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primarily affects the respiratory system, neurological symptoms were reported both during acute and post-acute COVID-19. Notably, patients with no history of epilepsy or other neurological conditions developed new-onset refractory status epilepticus (NORSE) weeks, months, or even up to a year following the viral infection. While NORSE is uncommon, it carries a high mortality rate and can result in permanent epilepsy.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFJ Med Virol
January 2025
Radiology department, Tianjin Fifth Central Hospital, Tianjin, China.
To evaluate the performance of three rapid influenza diagnostic tests (RIDTs) for detecting influenza A and B viruses compared to RT-PCR. A total of 291 subjects with acute respiratory infections were enrolled. Respiratory specimens were collected and tested for influenza A and B viruses using three RIDTs.
View Article and Find Full Text PDFSurg Laparosc Endosc Percutan Tech
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Key Laboratory of Digestive Diseases of Anhui Province, Hefei, Anhui, China.
Objective: To investigate the role of endoscopic ultrasonography (EUS) in the diagnosis and treatment of upper gastrointestinal bleeding of unknown origin in liver cirrhosis, focusing on patients with recurrent treatment of esophageal and gastric varices who failed to identify the bleeding site under direct endoscopy.
Background: Esophagogastric variceal bleeding is one of the severe complications of decompensated liver cirrhosis, and serial endoscopic therapy can improve the long-term quality of life of patients. Most acute bleeding can be detected under direct endoscopy with thrombus or active bleeding, but there are still some patients with recurrent bleeding after repeated treatments, and it is difficult to find the bleeding site, especially in gastric variceal bleeding.
Curr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
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