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Obesity01:24

Obesity

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Implementing the Risk of Ovarian Malignancy Algorithm Adding Obesity as a Predictive Factor.

Emanuela Anastasi1, Danila Capoccia2, Teresa Granato3

  • 1Department of Molecular Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy emanuela.anastasi@uniroma1.it.

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|December 7, 2016
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Summary
This summary is machine-generated.

Obesity is a risk factor for ovarian cancer. The Risk of Ovarian Malignancy Algorithm (ROMA) can help screen obese women for this risk.

Keywords:
CA125HE4ObesityROMA indexbariatric surgeryinsulinovarian cancer

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Area of Science:

  • Gynecology
  • Oncology
  • Metabolic Disorders

Background:

  • Obesity is a growing global health concern.
  • The link between obesity and increased risk of various cancers, including ovarian cancer, is increasingly recognized.
  • Early detection of ovarian cancer remains a challenge, necessitating effective screening tools.

Purpose of the Study:

  • To investigate obesity as a risk factor for ovarian cancer.
  • To evaluate the utility of the Risk of Ovarian Malignancy Algorithm (ROMA) in identifying obese women at risk for ovarian cancer.

Main Methods:

  • A comparative study included 163 obese women (BMI >30 kg/m²) and 130 normal-weight women (BMI <25 kg/m²).
  • The Risk of Ovarian Malignancy Algorithm (ROMA) index was calculated for all participants.
  • A subset of obese patients with high ROMA scores underwent bariatric surgery, and their ROMA index was reassessed post-surgery.

Main Results:

  • A significantly higher percentage of obese patients (24.5%) had a high ROMA index compared to normal-weight controls (5.3%).
  • In obese women who underwent bariatric surgery and achieved a lower BMI, the ROMA index decreased below the cutoff in 8 out of 13 cases.
  • These findings suggest a correlation between obesity, elevated ROMA scores, and potential ovarian malignancy risk.

Conclusions:

  • The ROMA index shows promise as a screening tool for identifying obese women at higher risk of ovarian cancer.
  • Monitoring ROMA index in conjunction with BMI may aid in early risk stratification for ovarian malignancy in obese populations.
  • Further research is warranted to validate ROMA's role in ovarian cancer screening among obese individuals.