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The prognostic value of pretreatment Glasgow Prognostic Score in patients with esophageal cancer: a meta-analysis

Authors Wang Y, Li P, Li J, Lai Y, Zhou K, Wang X, Che G

Received 29 January 2019

Accepted for publication 22 July 2019

Published 4 September 2019 Volume 2019:11 Pages 8181—8190


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Dr Rituraj Purohit

Yan Wang*, Pengfei Li*, Jue Li, Yutian Lai, Kun Zhou, Xin Wang, Guowei Che

Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Guowei Che
Department of Thoracic Surgery, West China Hospital, Sichuan University, Guoxuexiang No. 37, Chengdu, People’s Republic of China
Tel +86 281 898 060 1890
Fax +86 288 542 2494

Objectives: To examine the predictive role of Glasgow Prognostic Score (GPS) on long-term survival in esophageal cancer.
Method: Comprehensive searches of electronic databases were performed to identify potential studies that evaluated the prognostic value of pretreatment GPS in esophageal cancer patients. We combined the hazard ratios (HRs) with 95% confidence intervals (CIs) to assess the association of GPS with overall survival (OS), disease-free survival (DFS) and cancer-specific survival (CSS).
Results: A total of 21 studies including 6115 patients were analyzed. Compared with patients with GPS 0, patients with elevated GPS had poorer OS (HR =2.12, 95% CI: 1.83–2.45, P<0.001) and CSS (HR =2.16, 95% CI: 1.56–2.98, P<0.001); but no significant relationship was observed between the elevated GPS and DFS (HR=2.14, 95% CI:1.00–4.61, P=0.051). Subgroup analysis outcomes were similar to overall analyses.
Conclusion: Pretreatment GPS could serve as a valuable factor in predicting the prognosis of patients with esophageal cancer. More well-designed prospective studies are warranted to confirm our findings.

Keywords: esophageal cancer, Glasgow Prognostic Score, survival, meta-analysis

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