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Comparison of postoperative survival between early-onset and late-onset adenocarcinoma of esophagogastric junction: a population-based study.
Journal of Gastroenterology and Hepatology 2024 Februrary 15
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.
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.
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