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Type 2 diabetes mellitus (T2DM) is associated with an increased risk of colorectal cancer (CRC). The aim of the study is to evaluate the prevalence of CRC in a cohort of Caucasian patients with T2DM and the association with other variables previously known to be related with increased risk of CRC. We retrospectively evaluated the data of 741 consecutive Caucasian patients with T2DM who underwent colonoscopic screening in our tertiary referral center. A control cohort of 333 patients with thyroid disease was selected to evaluate the difference in the incidence of CRC. At a median follow-up of 132.5 months (range 33.3-175.7), 67 cases of cancer (prevalence 9%) occurred; among these, 14 cases of CRC were reported (prevalence 1.88%) among the diabetic patients, while only two case (one of these was a CRC) (overall prevalence 0.006%, prevalence of CRC 0.003%) occurred in the control group; the difference between the prevalence of CRC was statistically significant (chi-square 4.21, p=0.04). The median duration of T2DM to CRC diagnosis was 168 months (range 12-768). At the univariate analysis, older age (p=0.001, r 0.138) and diabetes duration (p=0.001, r 0.138) were related to higher risk of cancer, while metformin seems to be protective towards cancer (p=0.07, r -0.098). In the subset of patients with CRC, the age (RR = 2.25; 95% CI: 0.30 - 17.31; p less than 0.001), the diabetes duration (RR = 1.93; 95% CI: 0.25 – 14.77; p = 0.001) and the sulphonylureas treatment (RR = 2.33; 95% CI: 0.78 – 7.38; p = 0.007) were independently correlated with CRC. In our study, the prevalence of CRC in the cohort of patients with T2DM was higher compared to that from the National Tumor Register in 2010 (0.5%). Furthermore, we could speculate that sulphonylureas may play a role in CRC carcinogenesis impairing the physiological insulin secretion.

Study Question: Is it possible to distinguish metabolically healthy polycystic ovary syndrome (MH-PCOS) from metabolically unhealthy PCOS (MU-PCOS) by simple diagnostic tools such as body mass index (BMI), waist/hip ratio (WHR), at-risk category suggested by Androgen Excess Society (AES) and visceral adiposity index (VAI)?, Summary Answer: VAI could be an easy and useful tool in clinical practice and in population studies for assessment of MU-PCOS., What Is Known Already: VAI is a good indicator of insulin sensitivity and cardiometabolic risk in oligo-ovulatory women with PCOS., Study Design, Size, Duration: We conducted a cross-sectional study of 232 women with PCOS in a university hospital setting., Participants/materials, Setting, Methods: Anthropometric, hormonal and metabolic parameters were evaluated. An oral glucose tolerance test measured areas under the curve (AUC) for insulin (AUC 2h insulin) and for glucose (AUC 2h glucose). Homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity (ISI), the oral dispositional index (DIo) and VAI were determined., Main Results and the Role of Chance: The prevalence of MU-PCOS according to the different criteria was: BMI, 56.0%; WHR, 18.1%; at-risk criteria of AES, 72.0% and VAI, 34.5%. The likelihood that a woman would exhibit MU-PCOS (except when diagnosed by the WHR criterion) showed a significant positive association with high HOMA2-IR [BMI criterion: (odds ratio (OR): 1.86; 95% confidence interval (CI): 1.43-2.41); risk criteria of AES (OR: 1.86; 95% CI: 1.36-2.56); VAI criterion (OR: 1.45; 95% CI: 1.17-1.80)] and a significant negative association with low ISI Matsuda [BMI criterion: (OR: 0.81; 95% CI: 0.72-0.91); risk criteria of AES (OR: 0.78; 95% CI: 0.69-0.89); VAI criterion (OR: 0.82; 95% CI: 0.71-0.94)]. Only MU-PCOS according to the VAI criterion showed a significant association with low DIo (OR: 0.85; 95% CI: 0.75-0.96); these women also showed a significant association with low luteal progesterone levels (OR: 0.97; 95% CI: 0.95-0.99)., Limitations, Reasons for Caution: The analysis is limited by the lack of a gold standard definition of metabolic health that would have allowed the execution of a receiver operator characteristic analysis of the four proposed criteria., Wider Implications of the Findings: The results will facilitate the early recognition of cardiometabolic risk in women with PCOS before they develop overt metabolic syndrome.