Introduction: Lung cancer is the main cause of death from cancer in both men and women worldwide. In 70 to 80% of cases, the diagnosis is made at an advanced stage. Although the management of non-small-cell lung cancer (NSCLC) has continued to improve over the last 5 years, the prognosis remains poor with a 5-year survival rate of about 16%. The aim of this study was to evaluate the management of locally advanced or metastatic NSCLC in our patients and to analyze overall survival (OS) and prognostic factors at these stages.
Materials And Methods: A retrospective study, including cases of locally advanced and metastatic NSCLC diagnosed in our department between 2008 and 2011.
Results: We included 150 patients with a mean age of 60.2 years. The cancer was at stage IIIA in 21% of cases, IIIB in 14% of cases and IV in 65% of cases. Thoracic surgery was performed in 5 patients; 61.4% of patients received chemotherapy and chemo-radiotherapy was given in 21% of patients. Overall survival was 6 months. Better survival was observed in patients aged less than 60 years, having better performance status (PS), having no metastatic mediastinal lymph nodes and patients who received specific anti-tumor treatment.
Conclusions: The prognostic factors in locally advanced and metastatic NSCLC in our patients were: age, PS, status of mediastinal lymph nodes at diagnosis and treatment. These factors should be considered by physicians when treating patients with advanced stage NSCLC.
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http://dx.doi.org/10.1016/j.rmr.2013.09.002 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFNoise Health
January 2025
School of Public Health, Southern Medical University, Guangzhou 510515, China.
Hearing loss (HL) is a prevalent health concern with a significant impact on society and the economy. Several factors contribute to the development of hearing impairment, with noise overexposure being the primary culprit. Diabetes mellitus (DM) is also a factor in hearing impairment, and studies have shown a positive correlation between DM and HL; however, the exact causal relationship and pathogenesis remain contentious.
View Article and Find Full Text PDFJ Speech Lang Hear Res
January 2025
Department of Psychology, University of Western Ontario, London, Canada.
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification of language disorders in children.
Method: We first describe the current barriers to clinicians' use of language sample analysis, narrative language sampling approaches, and the data processing stages that precede analysis.
JCO Precis Oncol
January 2025
Sarcoma Translational Research Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Purpose: Less than 5% of GI stromal tumors (GISTs) are driven by the loss of the succinate dehydrogenase (SDH) complex, resulting in a pervasive DNA hypermethylation pattern that leads to unique clinical features. Advanced SDH-deficient GISTs are usually treated with the same therapies targeting KIT and PDGFRA receptors as those used in metastatic GIST. However, these treatments display less activity in the absence of alternative therapeutic options.
View Article and Find Full Text PDFJ Clin Gastroenterol
January 2025
Departments of Internal Medicine.
Goals: To investigate the effect of obesity on the stages of fibrosis discordance between FibroScan and liver biopsy.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver disease worldwide. Accurate fibrosis assessment is essential in MASLD patients for prognosis and treatment.
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