ASO Visual Abstract: Impact of Hospital Case Volume on Uterine Sarcoma Prognosis: SARCUT Study Subanalysis

Annals of surgical oncology(2023)

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摘要
Background High-complexity and low-prevalence procedures benefit from treatment by referral centers. The volume of cases necessary to maintain high training in the treatment of gynecologic sarcoma is currently unknown. This study aimed to determine differences in survival and recurrence as a function of the volume of patients treated per center. Methods The multicentric cross-sectional SARComa of the Uterus (SARCUT) study retrospectively collected cases of uterine sarcomas from 44 centers in Europe from January 2001 to December 2007. The survival of patients treated in high case-volume (HighCV) centers was compared with the survival of patients treated in low case-volume (LowCV) centers. Results The study enrolled 966 patients: 753 in the LowCV group and 213 in the HighCV. Overall survival (OS) was 117 months, and cancer-specific survival (CSS) was 126 months. The difference was significant (respectively p = 0.0003 and 0.0004, log rank). After adjustment for other confounding factors, the remaining significant factors were age (hazard ratio [HR], 1.04; 95% confidence interval [CI], 1.03–1.05), histology (HR, 1.19; 95% CI, 1.06–1.34), extrauterine involvement (HR, 1.61; 95% CI, 1.24–2.10) and persistent disease after treatment (HR, 3.22; 95% CI, 2.49–4.18). The cytoreduction performed was significantly associated with the CSS and OS in both groups. The log rank for surgical cytoreduction was a p value lower than 0.0001 for OS, lower than 0.0001 for the LowCV centers, and 0.0032 for the HighCV centers. Conclusions The prognosis for patients with uterine sarcoma is directly related to complete tumor cytoreduction, histologic type, and FIGO stage, with significant differences between low and high case-volume centers. Patients with uterine sarcomas should be centralized in HighCV centers to improve their oncologic outcomes.
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关键词
uterine sarcoma prognosis,hospital case volume,sarcut study subanalysis
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