Frontiers in Oncology (Feb 2023)

Long-term effect of hospital volume on the postoperative prognosis of 158,618 patients with esophageal squamous cell carcinoma in China

  • Ling-Ling Lei,
  • Xin Song,
  • Xue-Ke Zhao,
  • Rui-Hua Xu,
  • Meng-Xia Wei,
  • Lin Sun,
  • Pan-Pan Wang,
  • Miao-Miao Yang,
  • Jing-Feng Hu,
  • Kan Zhong,
  • Wen-Li Han,
  • Xue-Na Han,
  • Zong-Min Fan,
  • Ran Wang,
  • Bei Li,
  • Fu-You Zhou,
  • Xian-Zeng Wang,
  • Li-Guo Zhang,
  • Qi-De Bao,
  • Yan-Ru Qin,
  • Zhi-Wei Chang,
  • Jian-Wei Ku,
  • Hai-Jun Yang,
  • Ling Yuan,
  • Jing-Li Ren,
  • Xue-Min Li,
  • Li-Dong Wang

DOI
https://doi.org/10.3389/fonc.2022.1056086
Journal volume & issue
Vol. 12

Abstract

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BackgroundThe impact of hospital volume on the long-term survival of esophageal squamous cell carcinoma (ESCC) has not been well assessed in China, especially for stage I–III stage ESCC. We performed a large sample size study to assess the relationships between hospital volume and the effectiveness of ESCC treatment and the hospital volume value at the lowest risk of all-cause mortality after esophagectomy in China.AimTo investigate the prognostic value of hospital volume for assessing postoperative long-term survival of ESCC patients in China.MethodsThe date of 158,618 patients with ESCC were collected from a database (1973–2020) established by the State Key Laboratory for Esophageal Cancer Prevention and Treatment, the database includes 500,000 patients with detailed clinical information of pathological diagnosis and staging, treatment approaches and survival follow-up for esophageal and gastric cardia cancers. Intergroup comparisons of patient and treatment characteristics were conducted with the X2 test and analysis of variance. The Kaplan-Meier method with the log-rank test was used to draw the survival curves for the variables tested. A Multivariate Cox proportional hazards regression model was used to analyze the independent prognostic factors for overall survival. The relationship between hospital volume and all-cause mortality was assessed using restricted cubic splines from Cox proportional hazards models. The primary outcome was all-cause mortality.ResultsIn both 1973-1996 and 1997-2020, patients with stage I-III stage ESCC who underwent surgery in high volume hospitals had better survival than those who underwent surgery in low volume hospitals (both P<0.05). And high volume hospital was an independent factor for better prognosis in ESCC patients. The relationship between hospital volume and the risk of all-cause mortality was half-U-shaped, but overall, hospital volume was a protective factor for esophageal cancer patients after surgery (HR<1). The concentration of hospital volume associated with the lowest risk of all-cause mortality was 1027 cases/year in the overall enrolled patients.ConclusionHospital volume can be used as an indicator to predict the postoperative survival of ESCC patients. Our results suggest that the centralized management of esophageal cancer surgery is meaningful to improve the survival of ESCC patients in China, but the hospital volume should preferably not be higher than 1027 cases/year.Core tipHospital volume is considered to be a prognostic factor for many complex diseases. However, the impact of hospital volume on long-term survival after esophagectomy has not been well evaluated in China. Based on a large sample size of 158,618 ESCC patients in China spanning 47 years (1973-2020), We found that hospital volume can be used as a predictor of postoperative survival in patients with ESCC, and identified hospital volume thresholds with the lowest risk of death from all causes. This may provide an important basis for patients to choose hospitals and have a significant impact on the centralized management of hospital surgery.

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