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Residents are actively involved in patient assessment and all aspects of patient care, and they are critical in providing nutritional support education and treatment for patients with cancer. This study aims to assess the nutritional knowledge and performance of resident physicians, providing insights into existing gaps in awareness and practices related to cancer nutrition. A total of 300 resident physicians undergoing standardized residency training in China participated in this study. An anonymous online questionnaire covering demographic characteristics, nutritional knowledge, clinical practice, and training requirements was designed and administered through the "Wenjuanxing" platform. Data were collected from June 1, 2023, to July 31, 2023. Among the participants, only 40.00% demonstrated adequate knowledge of cancer nutrition, and merely 32.00% exhibited proficient performance in nutritional care. Socio-demographic analysis revealed that residents without affiliations and those specializing in obstetrics and gynecology had superior knowledge, while surgery specialists showed significantly worse performance. Most participants expressed a lack of exposure to cancer nutrition education during academic and standardized residency training. The study highlights the demand for enhanced education and the preference for case-based teaching methods. The findings underscore an urgent need for comprehensive oncology nutrition education within China's standardized residency training. Targeted interventions and curriculum enhancements are essential to improve medical talent development and enhance patient care outcomes in oncology. The study emphasizes the critical role of practical, case-based teaching methods in addressing identified gaps in nutritional knowledge and practices among resident physicians.
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BACKGROUND AND AIM: The prognosis of early-onset adenocarcinoma of esophagogastric junction (AEG) remains unclear. This research aimed at comparing the prognosis between early-onset and late-onset AEGs. METHODS: We extracted eligible patients with surgically resected, pathologically confirmed, nonmetastatic AEG from the Surveillance, Epidemiology, and End Results database from 2004 to 2015. The cutoff age of early-onset AEG was set at ≤50 years old. Univariate and multivariate Cox analysis as well as competing risk model were adopted for comparing overall survival (OS) and cancer-specific survival (CSS) between early-onset and late-onset AEGs. In addition, multiple imputation and propensity score matching (PSM) were also carried out for sensitivity analysis. RESULTS: In total, 4610 eligible AEG patients were collected in this study, including 610 early-onset AEGs and 4000 late-onset AEGs. Kaplan-Meier curves revealed significantly better survival in early-onset AEGs than late-onset AEGs. After interpolating missing data by multiple imputation, multivariate Cox regression analysis similarly showed better OS and CSS in early-onset AEGs. By using PSM analysis at a ratio of 1:1, we matched 610 early-onset AEG patients with 610 late-onset AEG patients. After PSM, univariate Cox regression model still revealed favorable prognosis in early-onset AEGs. Similar results were confirmed by performing PSM analysis at a ratio of 1:2 and 1:3. In addition, competing risk model demonstrated significantly lower cancer-specific death in early-onset AEGs compared to late-onset AEGs before and after matching. CONCLUSION: By applying several effective sensitivity analyses, we reported significantly favorable OS and CSS in early-onset AEGs compared to late-onset AEGs.