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Objective To define the present incidence of uterine cancer and the trends of incidence in the future. Additional, subgroup analysis in religion and socio-demographic factors will be analyzed. Methods The data of uterine cancer from The Songkhla Cancer Registry between; 1989 and 2016, was extracted. The population denominators of Songkhla Province were referred from the information of the population censuses surveyed by the National Statistical Office. The incidence was estimate by; the age specific rate, and analyzed in trend incidence using Jointpoint and Age-period-cohort; APC regression models and trend projection in 2017–2030 using by Jointpoint, the NordPred and APC model. The comparison of incidence according to habitat and religion were unpaired t-test. Results The incidence of uterine cancer in Songkhla Province increased from 1.5, to 5.3 per 100,000 women-years in 2016, and 8 per 100,000 women-years in 2030. The incidence was more in urban areas and in Buddhists. Conclusion The incidence of uterine cancer is increasing. The policy, which promotes protective factors and control risk factors, would decrease incidence of endometrial cancer, and other estrogen dependent cancers additional to chronic diseases from the cardiovascular system.

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To assess the predictive value of the preoperative modified frailty index (mFI) for postoperative complications in endometrial carcinoma, and to evaluate the risk factors associated with complications, and to compare the predictive properties of mFI with the American Society of Anesthesiologists (ASA) Physical Status classification. MethodsA total of 364 patients with endometrial cancer who underwent primary surgery between January 2009and December 2016 were examined. The prognostic value of mFI in predicting severe postoperative complications, assessed according to the Clavien-Dindo classification, was analyzed and compared with ASA status. The risk factors for adverse outcomes were determined using multivariate analysis. ResultsThe 30-day postoperative surgical-or medical-related complication rate was 26.6%. The rates of postoperative complications were 1.3%, 8.8%, 12.2%, and 60.0% for mFI scores of 0, 1, 2, and ≥3, respectively (P<0.001). The odds ratios for predicting postoperative complications in patients with mFI scores of 1, 2, and ≥3 were 7. 38, 10.59, and 114.75, respectively. In the multivariate analysis, the significant predictive factors for postoperative complications were mFI ≥1, body mass index (BMI) ≥30 kg/m 2 , and non-endometrioid cell type. At cut-off points of mFI ≥1 and ASA ≥2, both tools had similar sensitivities but mFI was more specific (sensitivities 92.9% vs. 100%; specificity 45.5% vs. 19.4%). ConclusionmFI provides a satisfactory predictive value for postoperative complications. Patients with an mFI score ≥1, a BMI ≥30 kg/m 2 , and a non-endometrioid subtype, are at risk of postoperative complications and should receive comprehensive preoperative and postoperative management.