Dipeptidyl peptidase-4 inhibitors alleviate cognitive dysfunction in type 2 diabetes mellitus.

BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) are commonly at high risk for developing cognitive dysfunction. Antidiabetic agents might be repurposed for targeting cognitive dysfunction in addition to modulation on glucose homeostasis. This study aimed to evaluate the impact of dipeptidyl peptidase-4 inhibitors (DPP-4i) on cognitive function in T2DM. METHODS: PubMed, Embase, Cochrane Library and Web of Science were systematically searched from inception to September 30, 2023. Weighted mean differences were calculated using the Mantel-Haenszel (M-H) fixed or random effects model based on the degree of heterogeneity among studies. Heterogeneity was evaluated using a Chi-squared test and quantified with Higgins I2. Sensitivity analysis was performed with the leave-one-out method, and publication bias was evaluated according to Begg's and Egger's tests. RESULTS: Six clinical trials involving 5,178 participants were included in the pooled analysis. Administration of DPP-4i generally correlated with an increase of Mini-Mental State Examination (MMSE) scores (1.09, 95% CI: 0.22 to 1.96). DPP-4i alleviated cognitive impairment in the copying skill subdomain of MMSE (0.26, 95% CI: 0.12 to 0.40). Treatment with DPP-4i also resulted in an increase of Instrumental Activities of Daily Living (IADL) scores (0.82, 95% CI: 0.30 to 1.34). However, DPP-4i produced no significant effects on Barthel Activities of Daily Living (BADL) scores (0.37, 95% CI: -1.26 to 1.99) or other test scores. CONCLUSIONS: DPP-4i treatment favourably improved cognitive function in patients with T2DM. Further trials with larger samples should be performed to confirm these estimates and investigate the association of different DPP-4i with cognitive function among diabetic patients. TRIAL REGISTRATION IN PROSPERO: CRD42023430873.

Assessment of prognostic and reproductive outcomes of omentectomy for patients with clinically apparent early-stage (I, II) malignant ovarian germ cell tumours: A multicentre retrospective study.

OBJECTIVE: This study assessed the effect of omentectomy on the prognosis and fertility in patients with clinically early-stage (I, II) malignant ovarian germ cell tumours (MOGCT). DESIGN: A retrospective multicentre study. SETTING: Four university teaching hospitals in China. POPULATION: A total of 268 patients with clinically apparent early-stage (I, II) MOGCT. METHODS: Data were obtained from the medical records. Additionally, the propensity score matching (PSM) algorithm was adopted. MAIN OUTCOME MEASURES: Prognostic outcomes were disease-free survival (DFS) and overall survival (OS). Fertility outcomes were pregnancy and live birth rates. RESULTS: A total of 187 (69.8%) patients underwent omentectomy. Kaplan-Meier analysis showed no significant differences in DFS and OS between the omentectomy and non-omentectomy groups before and after PSM (p > 0.05). Additionally, subgroup analysis stratified by age (<18 and ≥18 years) showed similar results. International Federation of Gynecology and Obstetrics (FIGO) stage was the only risk factor associated with DFS (hazard ratio [HR] 14.71, 95% confidence interval [CI] 4.47-48.38, p < 0.001) and OS (HR 37.36, 95% CI 3.87-361.16, p = 0.002). Pregnancy and live birth rates in the total population were 80.3% and 66.7%, respectively. There were no significant differences between the two groups before and after PSM. CONCLUSIONS: Omentectomy did not improve survival or affect fertility in patients with clinically apparent early-stage (I, II) MOGCT, regardless of the age. The clinical FIGO stage was an independent risk factor for recurrence and death.

Prognostic Assessment of Cervical Cancer Patients by Clinical Staging and Surgical-Pathological Factor: A Support Vector Machine-Based Approach.

Introduction: The International Federation of Gynecology and Obstetrics (FIGO) staging system is considered the most powerful prognostic factor in patients with cervical cancer. In addition, other surgical-pathological risk factors have been demonstrated to have significance in predicting the prognosis of patients. Therefore, the purpose of this study was to investigate the effects of the FIGO staging system and surgical-pathological risk factors on the prognosis of cervical cancer patients. Methods: A retrospective study was performed on patients diagnosed with cervical cancer at FIGO stage IB1-IIA2. Kaplan-Meier, Cox proportional hazards regression analysis and the support vector machine (SVM) algorithm were used to assess and validate the high-risk factors related to recurrence and death. Results: A total of 647 patients were included. Kaplan-Meier analysis showed that five high-risk factors, including FIGO stage, status of pelvic lymph node, parametrial involvement, tumor size, and depth of cervical cancer, had a significant effect on the prognosis of patients. In multivariate analysis, pelvic lymph node metastasis (hazard ratio [HR] 2.415, 95% confidence interval [CI] 1.471-3.965), parametrial involvement (HR 2.740, 95% CI 1.092-6.872) and >2/3 depth of cervical invasion (HR 2.263, 95% CI 1.045-4.902) were three independent risk factors of disease-free survival. Pelvic lymph node metastasis (HR 3.855, 95% CI 2.125-6.991) and parametrial involvement (HR 3.871, 95% CI 1.375-10.900) were two independent risk factors for overall survival. When all five high-risk factors were assembled and used for classification prediction through SVM, it achieved the highest prediction accuracy of recurrence (accuracy = 69.1%). The highest prediction accuracy for survival was 94.3% when only using the two independent predictors (the pathological status of lymph nodes and parametrium involvement) by SVM classifiers. Among the 13 groups of intermediate-risk factor, the combination of tumor size, histology and grade of differentiation was more accurate in predicting prognosis than the intermediate-risk factors in the Sedlis criteria (recurrence: 86.8% vs. 60.0%; death: 92.0% vs. 71.6%). Conclusions: The combination of FIGO stage and surgical-pathological risk factors can further enhance the prediction accuracy of the prognosis in patients with early-stage cervical cancer. Histology and grade of differentiation can further improve the prediction accuracy of intermediate-risk factors in the Sedlis criteria.