Comparison of the Survival Outcomes of Minimally Invasive Surgery with Open Surgery in Patients with Uterine-Confined and Node-Negative Cervical Cancer: A Population-Based Study.
Seiji MabuchiTomoyuki SasanoNaoko KomuraMichihide MaedaShinya MatsuzakiTsuyoshi HisaShoji KamiuraToshitaka MorishimaIsao MiyashiroPublished in: Cancers (2023)
We aimed to compare the oncological outcomes between Japanese women with uterine-confined and node-negative cervical cancer who underwent open surgery and those who underwent minimally invasive surgery (MIS). A population-based retrospective cohort study was conducted using data from the Osaka Cancer Registry that ranged from 2011 to 2018. A total of 2279 patients who underwent surgical treatment for uterine-confined and node-negative cervical cancer were identified. The patients were classified into groups according to surgery type (open and MIS groups) and year of diagnosis (group one, 2011-2014; group two, 2015-2018). The oncologic outcomes were compared between the MIS and open groups. When the MIS group (n = 225) was compared with open group (n = 2054), overall, there was no significant between-group difference in terms of overall survival. Based on Kaplan-Meier estimates, the probability of overall survival at four years was 99.5% in the MIS group and 97.2% in the open group ( p = 0.1110). When examined according to the year of diagnosis, there were no significant between-group differences in the overall survival in both groups one and two. In this population-based cohort study, MIS did not compromise survival outcomes when compared with conventional open surgery in Japanese patients with uterine-confined and node-negative (FIGO 2018 stage I) cervical cancer.
Keyphrases
- minimally invasive
- end stage renal disease
- robot assisted
- lymph node
- ejection fraction
- coronary artery bypass
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- prostate cancer
- surgical site infection
- prognostic factors
- squamous cell carcinoma
- adipose tissue
- machine learning
- big data
- acute coronary syndrome
- insulin resistance
- young adults
- electronic health record
- data analysis
- lymph node metastasis
- free survival