Lack of association between obesity and aggressiveness of differentiated thyroid cancer

N/ACitations
Citations of this article
24Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Purpose: Aim of this study was to evaluate the association between body mass index (BMI) and aggressive features of differentiated thyroid cancer (DTC) in a prospective cohort. Methods: Patients with DTC were prospectively enrolled at a tertiary referral center and grouped according to their BMI. Aggressive clinic-pathological features were analyzed following the American Thyroid Association Initial Risk Stratification System score. Results: The cohort was composed of 432 patients: 5 (1.2%) were underweight, 187 (43.3%) normal weight, 154 (35.6%) overweight, 68 (15.7%) grade 1 obese, 11 (2.5%) grade 2 obese and 7 (1.6%) grade 3 obese. No single feature of advanced thyroid cancer was more frequent in obese patients than in others. No significant correlation was found between BMI, primary tumor size (Spearman’s ρ − 0.02; p = 0.71) and ATA Initial Risk Stratification System score (ρ 0.03; p = 0.49), after adjustment for age. According to the multivariate logistic regression analysis, male gender and pre-surgical diagnosis of cancer were significant predictors of cancer with high or intermediate–high recurrence risk according to the ATA system (OR 2.06 and 2.51, respectively), while older age at diagnosis was a protective factor (OR 0.98), and BMI was not a predictor. BMI was a predictor of microscopic extrathyroidal extension only (OR 1.06). Conclusions: Obesity was not associated with aggressive features in this prospective, European cohort of patients with DTC.

Cite

CITATION STYLE

APA

Grani, G., Lamartina, L., Montesano, T., Ronga, G., Maggisano, V., Falcone, R., … Maranghi, M. (2019). Lack of association between obesity and aggressiveness of differentiated thyroid cancer. Journal of Endocrinological Investigation, 42(1), 85–90. https://doi.org/10.1007/s40618-018-0889-x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free