Trends in best-case, typical and worst-case survival scenarios of patients with non-metastatic esophagogastric cancer between 2006 and 2020: A population-based study.

International journal of cancer(2023)

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摘要
New treatment options and centralization of surgery have improved survival for patients with non-metastatic esophageal or gastric cancer. It is unknown, however, which patients benefitted the most from treatment advances. The aim of this study was to identify best-case, typical and worst-case scenarios in terms of survival time, and to assess if survival associated with these scenarios changed over time. Patients with non-metastatic potentially resectable esophageal or gastric cancer diagnosed between 2006 and 2020 were selected from the Netherlands Cancer Registry. Best-case (20th percentile), upper-typical (40th percentile), typical (median), lower-typical (60th percentile) and worst-case (80th percentile) survival scenarios were defined, and regression analysis was used to investigate the change in survival time for each scenario across years. For patients with esophageal cancer (N = 24 352) survival time improved on average 12.0 (until 2011), 1.5 (until 2018), 0.7, 0.4 and 0.2 months per year for the best-case, upper-typical, median, lower-typical and worst-case scenario, respectively. For patients with gastric cancer (N = 9993) survival time of the best-case scenario remained constant, whereas the upper-typical, median, lower-typical and worst-case scenario improved on average with 1.0 (until 2018), 0.5, 0.2 and 0.2 months per year, respectively. Subgroup analyses showed that, survival scenarios improved for nearly all patients across treatment groups and for patients with squamous cell carcinomas or adenocarcinomas. Survival improved for almost all patients suggesting that in clinical practice the vast majority of patients benefitted from treatment advances. The clinically most meaningful survival advantage was observed for the best-case scenario of esophageal cancer.
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关键词
esophageal cancer,gastric cancer,survival scenarios,trend analysis
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