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Background: Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Obesity and obesity-related metabolic disorders have been linked to chronic kidney disease (CKD), although the evidence is still inconsistent. To investigate the relationship between different obesity phenotypes and the risk of CKD, we conducted a systematic review and meta-analysis. Method: We conducted a comprehensive search of databases for all relevant studies up to February 2024, without imposing a specific start date, for observational studies assessing the relationship between obesity phenotypes and incident kidney dysfunction. We used fixed and random effects models for the meta-analysis, subgroup analyses were carried out to explore heterogeneity, and Egger's and Begg's tests were used to assess publication bias. Result: This meta-analysis included 13 eligible observational studies with 492,829 participants. Pooling the studies regardless of the effect measure showed that individuals with metabolically unhealthy normal weight (MUNW) (ES = 1.58, 95% CI = 1.43–1.76), metabolically healthy obese (MHO) (ES = 1.20, 95% CI = 1.06–1.34), and metabolically unhealthy obese (MUO) (ES = 1.90, 95% CI = 1.63–2.20) phenotypes had a significantly increased risk for kidney dysfunction (KD) events. On the other hand, MUOW individuals did not significantly correlate with risk of CKD (ES = 1.63, 95% CI = 0.97–2.23) compared to the MHNW phenotype. Conclusion: Healthy overweight and obese individuals had higher risk for the incident KD events; refuting the notion that metabolically healthy overweight and obese phenotypes are benign conditions. Level of evidence: III Evidence obtained from well-designed cohort or cross-sectional studies. [ABSTRACT FROM AUTHOR]

Objectives: The objective of this study was to evaluate the effectiveness of the combined use of empagliflozin (EMPA) and topiramate (TPM) versus a placebo in overweight/obese individuals without diabetes on a calorie-restricted diet. Methods: In this study, 44 non-diabetic and overweight/obese subjects who were on a calorie restricted diet were randomly assigned into 2 groups: (1) Participants received a 10 mg EMPA tablet daily plus TPM tablet (at the 1st week 25 mg once a day and from the second week 25 mg twice a day); (2) Participants received an empagliflozin placebo (daily) plus a topiramate placebo (as mentioned for topiramate tablet in group 1), for 12 weeks. At baseline and weeks 4, 8, 12, weight, height, body mass index (BMI), waist circumference (WC), and body composition were evaluated. Before and after the intervention, blood pressure, C reactive protein, and glucose and lipid profile parameters were measured. Results: The EMPA/TPM group, compared to placebo, had a greater percent change of weight at week 12 (− 8.92 ± 1.80 vs. − 4.93 ± 1.17). The intervention group had a greater percent change of fat mass and fat percent at week 12 (P < 0.05). However, there was no difference in the percent of change in fat-free percent between the two groups at week 12 (P = 0.577). Within-group analysis found a significant reduction in SBP, DBP, FBS, insulin, HOMA-IR, TC, LDL, HDL, TG, and CRP in both groups (P < 0.05). At week 12, no statistically significant difference was observed between the two groups in any of mentioned variables (P > 0.05). Conclusion: In non-diabetic overweight/obese individuals, the combination of EMPA/TPM and calorie restriction led to a notable decrease in body weight and was generally well-tolerated. Further research is required to evaluate the potential advantages of utilizing this combination for sustained weight management in the long run. Level I : Randomized clinical trial. [ABSTRACT FROM AUTHOR]

Background: Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Metabolic syndrome (MetS) has been linked to CKD, but the evidence remains inconsistent. We conducted a systematic review and meta-analysis to investigate the association between MetS and kidney dysfunction. Method: We conducted a comprehensive search of databases until December 2022 for cohort studies assessing the association between MetS and incident kidney dysfunction. Meta-analysis was performed using fixed and random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Egger's and Begg's tests. Result: A total of 24 eligible studies, involving 6,573,911 participants, were included in this meta-analysis. MetS was significantly associated with an increased risk of developing CKD (OR, 1.42; 95% CI, 1.28, 1.57), albuminuria or proteinuria (OR, 1.43; 95% CI, 1.10, 1.86), and rapid decline in kidney function (OR, 1.25; 95% CI, 1.07, 1.47). Subgroup analyses showed a stronger association as the number of MetS components increased. However, gender-specific subgroups demonstrated varying associations. Conclusion: Metabolic syndrome is a significant risk factor for kidney dysfunction, requiring close renal monitoring. Lifestyle changes and targeted interventions may help reduce CKD burden. Further research is needed to understand the connection fully and assess intervention efficacy. [ABSTRACT FROM AUTHOR]

Background: The relationship between adiposity indicators and thyroid cancer (TC) risk has garnered increasing attention due to the rising prevalence of obesity and its potential impact on cancer incidence. We conducted a comprehensive meta-analysis to investigate this association across various effect measures. Method: Until July 2022, a comprehensive search of databases was conducted to identify cohort studies that assessed the association between adiposity and the development of TC. Meta-analysis was performed using random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Begg's tests. Results: A systematic literature search identified 27 eligible studies reporting odds ratios (OR), relative risks (RR), or hazard ratios (HR) as effect measures. Pooling the studies irrespective of the effect measure, a significant positive association between adiposity indicators and TC risk was observed, yielding an effect estimate of 1.16 (95% CI 1.12–1.21). The combined effect estimate for OR/RR studies was 1.10 (95%CI 1.04–1.17), while HR studies yielded an effect estimate of 1.20 (95%CI 1.13–1.26). Subgroup analyses revealed associations across different age groups, obesity indices, and regions, with some variations based on effect measure. Meta-regression identified follow-up duration as a confounding factor only in HR studies. Conclusion: The synthesis of 27 studies with diverse designs and populations underscores a robust positive association between adiposity and TC risk, providing compelling evidence for the potential role of increased adiposity in TC development. [ABSTRACT FROM AUTHOR]

We show that the Hrushovski–Fraïssé limit of certain classes of trees lead to strictly superstable theories of various U-ranks. In fact, for each α ∈ ω + 1 \ { 0 } we introduce a strictly superstable theory of U-rank α . Furthermore, we show that these theories are decidable and pseudofinite. [ABSTRACT FROM AUTHOR]