Dissemin is shutting down on January 1st, 2025

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International Institute of Anticancer Research, Anticancer Research, 12(36), p. 6425-6430

DOI: 10.21873/anticanres.11240

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Implementing the risk of ovarian malignancy algorithm adding obesity as a predictive factor

This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

AIM: To evaluate whether obesity represents a risk factor for the onset of ovarian cancer. PATIENTS AND METHODS: One hundred and sixty-three patients with a body mass index (BMI) >30 kg/m2 (group 1) and 130 women with a BMI of 13%) was found in 24.5% of group 1 patients, whereas a high ROMA score was identified in 5.3% of group 2 women. During the study, 13 out of 40 group 1 patients with ROMA >13% were deemed eligible for bariatric surgery. After bariatric surgery and decrease of BMI, eight out of these 13 obese women had a ROMA index