Investigator

Nozomi Kurihara

Statistician · UCB Pharma (Japan), Biometrics & Data Science

NKNozomi Kurihara
Papers(1)
Effects of tumor spil…
Collaborators(5)
Akiko AbeAtsushi FusegiHidetaka NomuraHiroyuki KanaoMayumi Kamata
Institutions(2)
Japanese Foundation F…The Cancer Institute …

Papers

Effects of tumor spillage prevention in laparoscopic radical hysterectomy for early-stage cervical cancer: a propensity score-matched analysis

Minimally invasive radical hysterectomy has a worse prognosis than open surgery, but the reasons for the poor prognosis remain unclear. Tumor spillage occurs when the tumor is exposed to the surgical field and has been suggested to be related to a poor prognosis. This study aimed to compare the prognostic value of tumor spillage in laparoscopic radical hysterectomy and evaluate whether tumor spillage prevention improves oncological safety. We compared the prognosis of patients who underwent laparoscopic radical hysterectomy between December 2014 and November 2021 with or without tumor spillage prevention, including surgeries without prevention and those with failed prevention. Prevention consisted of vaginal cuff formation or closure of the vaginal canal with clips to prevent tumor exposure at the time of colpotomy. The primary endpoint was disease-free survival, which was adjusted using propensity scores to compare patients. In total, 165 patients received tumor spillage prevention, and 61 did not or failed to receive such prevention. The median follow-up was 4.4 years. Patients who did not undergo prevention or failed prevention had significantly shorter disease-free survival than those who did (hazard ratio [HR]=3.54; 95% confidence interval [CI]=1.23-10.23). The same trend was observed after adjusting for propensity score matching. Patients who did not or failed to receive prevention were more likely to experience local recurrence (HR=4.01; 95% CI=1.13-14.24). Tumor spillage prevention was associated with longer disease-free survival in laparoscopic radical hysterectomy.

10Works
1Papers
5Collaborators

Positions

2023–

Statistician

UCB Pharma (Japan) · Biometrics & Data Science

2020–

Data Scientist

Japanese Foundation For Cancer Research · Department of Planning and Strategy

Education

2020

Master of Public Health

Kyoto University · Biostatistics

2018

Bachelor of Science

Tokyo University of Science · Mathematics

Country

JP

Keywords
BiostatisticsSurvival analysisClinical trialOncologyEpilepsy