American journal of surgery · 2026
Outcomes after right hemicolectomy for ascending colon cancer: A comparison of academic versus community hospitals.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
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Ou Michael, Dua Akanksha, Zhao Beiqun
Аннотация
INTRODUCTION: The impact of hospital type on outcomes after ascending colon cancer surgery is not well-defined. We sought to compare outcomes after right hemicolectomy between academic versus community hospitals.
METHODS: The National Cancer Database was used to evaluate patients between 2010 and 2022, who underwent a right hemicolectomy for colon cancer. A 1:1 propensity score match using 13 variables was performed. Kaplan-Meier curves were used to evaluate overall survival, and adjusted analysis was performed with multivariable, Cox proportional hazard models.
RESULTS: A total of 253,071 patients were included in the analysis. After matching, 65,049 patients were included in each cohort. Academic hospitals had a longer median overall survival of 8 months compared to community hospitals (p < 0.001), and a lower risk of mortality (HR 0.92, 95% CI 0.91 - 0.94, p < 0.001).
CONCLUSIONS: Academic institutions had a survival benefit even after matching patient factors, disease characteristics, and hospital volume.
METHODS: The National Cancer Database was used to evaluate patients between 2010 and 2022, who underwent a right hemicolectomy for colon cancer. A 1:1 propensity score match using 13 variables was performed. Kaplan-Meier curves were used to evaluate overall survival, and adjusted analysis was performed with multivariable, Cox proportional hazard models.
RESULTS: A total of 253,071 patients were included in the analysis. After matching, 65,049 patients were included in each cohort. Academic hospitals had a longer median overall survival of 8 months compared to community hospitals (p < 0.001), and a lower risk of mortality (HR 0.92, 95% CI 0.91 - 0.94, p < 0.001).
CONCLUSIONS: Academic institutions had a survival benefit even after matching patient factors, disease characteristics, and hospital volume.