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Correlations were evaluated with calculation of the Spearman coefficient and independent relationships were assessed by means of multiple regression analysis. RESULTS All four groups were comparable in terms of the baseline characteristics, including age, BMI, serum AMH, and testosterone levels and finally HOMA-IR. The continuous variables showed that there was a normal distribution and it was confirmed by the use of the Kolmogorov Smirnoff test. Data are presented as mean �� SD multiple regression analysis was used to examine the relationship of follicle number with obesity, AMH, testosterone, and HOMA-IR levels. The data for all patients groups are illustrated in Table 1. Table 1 Clinical and biochemical characteristics of patients We observed that the follicle numbers were CYTH4 significantly higher (P MK-1775 mw subjects. Spearman correlation results in the total groups showed a negative significant correlation of follicle number with BMI (r = ?0.26, P and AMH didn��t showed. Since, the follicle numbers were different in four groups, the ratio of AMH against follicles and corresponding of BMI against follicles was estimated. The ratio of follicle numbers in PCOS/overweight group were decreased in comparison to PCOS/normal weight group (?30%, P > 0.05) whiles the follicle numbers in PCOS/normal weight group were increased in comparison with selleck inhibitor non-PCOS/normal weight (49%, P P > 0.05) while it was increased in PCOS/overweight group in comparison with non-PCOS/overweight (43%, P