Viennese risk prediction score for Advanced Gastroesophageal carcinoma based on Alarm Symptoms (VAGAS score): characterisation of alarm symptoms in advanced gastro-oesophageal cancer and its correlation with outcome

基于报警症状的维也纳晚期胃食管癌风险预测评分(VAGAS评分):晚期胃食管癌报警症状的特征及其与预后的相关性

阅读:1

Abstract

INTRODUCTION: The prognostic value of symptoms at disease presentation of advanced gastro-oesophageal cancer is unknown. Thus, the aim of this study was to characterise these symptoms and correlate them with the outcome, so new prognostic markers can be defined. METHODS: We analysed clinical data including symptoms, therapies and survival of patients with stage IV gastro-oesophageal cancer treated between 2002 and 2018 at the Vienna General Hospital, Austria. Initial symptoms as well as stenosis in endoscopy and HER2 positivity were evaluated in a cross-validation model to ascertain the impact of each variable on patient survival. RESULTS: In total, 258 patients were evaluated. Five factors (stenosis in endoscopy, weight loss, HER2 positivity, dyspepsia, ulcer or active bleeding) have proven to be statistically relevant prognostic factors and were given a count of +1 and -1, if applicable. The resulting score ranges between -3 and +2. The survival probability for 180 days with a score of -3/-2, -1, 0, +1 and +2 is 90%, 80%, 73%, 72% and 42%, whereas for 2 years, it is 30%, 30%, 8%, 7% and 3%, respectively. The median overall survival of a score of -3/-2, -1, 0, +1 and +2 was 579 (95% CI 274 to not measurable), 481 (95% CI 358 to 637), 297 (95% CI 240 to 346), 284 (95% CI 205 to 371), 146 (95% CI 120 to 229) days, respectively. CONCLUSION: The data from this retrospective study indicate that the Viennese risk prediction score for Advanced Gastroesophageal carcinoma based on Alarm Symptoms score provides independent prognostic information that may support clinical decision making at diagnosis of advanced gastro-oesophageal cancer. Our findings should be evaluated in prospective studies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。