The role of surgery in patients aged 85 years or older with resectable gastric cancer: a propensity score matching analysis of the SEER database

Abstract

Introduction: An increasing number of newly diagnosed resectable gastric cancer (GC) patients are over 85 years of age. However, studies on surgical treatment in these patients are limited. This study aimed to explore the prognosis of a large sample of the oldest old GC patients receiving surgery.

Methods: A total of 2914 oldest old patients with stage I-III GC were included in the linked Surveillance, Epidemiology, and End Results (SEER) database from 2006 to 2015. Based on their treatment, we assigned these patients to the surgery and no surgery groups. We used propensity score matching (1:1) to balance the baseline characteristics. The Kaplan–Meier method was used for the survival analysis. Multivariate Cox regression analysis was used to analyse the independent risk factors.

Results: After propensity score matching, the median overall survival (OS) times in the surgery and no surgery groups were 24.0 (95% CI: 20.3–27.7) and 4.0 (95% CI: 3.5–4.5) months, respectively (p < .01). Age, sex, stage, histological type, and treatment with surgery and chemotherapy were independent risk factors for OS in the oldest old patients with GC. In total, 19% of the oldest old patients with GC died from causes unrelated to cancer.

Conclusions: The current large-scale study demonstrated that the oldest old patients with stage I-III GC could benefit from elective surgery.

Keywords:

• Oldest old
• prognosis
• gastric cancer
• surgery
• SEER

Ethical approval

The Ethics Committee of the Health Science Center of Xi’an Jiaotong University approved the study (reference number 2019-G-127).

Author contributions

JZ and XS designed the study. JG and JY analysed the data. All authors wrote and revised the manuscript and approved the final version to be published.

Disclosure statement

The authors declare that they have no competing interests.

Additional information

Funding

This work was supported by a grant from the National Natural Science Foundation of China (Grant Serial Numbers: 81972720 and 81172362), the Coordinative and Innovative Plan Projects of the Science and Technology Program in Shaanxi Province (Grant Serial Numbers: 2013KTCQ03-08), and the Fundamental Research Funds for the Central Universities (xjj2018123).