Blood glucose concentration and risk of pancreatic cancer: systematic review and dose-response meta-analysis

Objective: The purpose of this systematic review and meta-analysis was to summarize the potential impact of CYP2C8 and SLCO1B1 genetic polymorphisms on repaglinide pharmacokinetics. Methods: A systematic search was conducted using electronic databases. Eligible studies reported data from pharmacokinetic evaluations of repaglinide in healthy adults according to different categories of CYP2C8 and SLCO1B1 genetic polymorphisms. Results: Six studies including a total of 191 participants met the inclusion criteria. We noted that CYP2C8 *1/*3 carriers exhibited lower AUC(0-∞) (SMD: -0.77; 95%CI: -1.23 to -0.30; P=0.001) and Cmax (SMD: -0.94; 95%CI: - 1.41 to -0.47; P<0.001) than CYP2C8 *1/*1 carriers. There were no significant differences in AUC(0-∞), Cmax, t1/2 and mean change in blood glucose concentration between *1/*4 and *1/*1 carriers. Further, *3/*3 carriers had lower Cmax (SMD: -1.42; 95%CI: -2.66 to -0.17; P=0.026) than *1/*1 carriers. Additionally, *3/*3 carriers had lower Cmax than *1/*3 carriers (SMD: -1.20; 95%CI: -2.40 to -0.00; P=0.050). Finally, we noted that repaglinide pharmacokinetics did not differ by SLCO1B1 genotype. Conclusion: The current systematic review and meta-analysis indicated that the genotype of CYP2C8, but not SLCO1B1, may affect repaglinide pharmacokinetics. However, because of the comparatively insufficient number of published studies included, our conclusions require support from additional studies.

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High admission blood glucose independently predicts poor prognosis in COVID-19 patients: A systematic review and dose-response meta-analysis

Diabetes Research and Clinical Practice ◽

10.1016/j.diabres.2020.108561 ◽

2021 ◽

Vol 171 ◽

pp. 108561

Author(s):

Gilbert Lazarus ◽

Jessica Audrey ◽

Vincent Kharisma Wangsaputra ◽

Alice Tamara ◽

Dicky L. Tahapary

Keyword(s):

Systematic Review ◽

Blood Glucose ◽

Dose Response ◽

Poor Prognosis ◽

Meta Analysis

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Dietary Inflammatory Index and Pancreatic Cancer Risk—A Systematic Review and Dose-response Meta-analysis

Public Health Nutrition ◽

10.1017/s1368980021001579 ◽

2021 ◽

pp. 1-24

Author(s):

Zhangyou Guo ◽

Yuan Hong ◽

Yao Cheng

Keyword(s):

Systematic Review ◽

Pancreatic Cancer ◽

Dose Response ◽

Meta Analysis ◽

Case Control ◽

Cochrane Library ◽

Dietary Inflammatory Index ◽

Case Control Studies ◽

Inflammatory Index ◽

Incident Cases

Abstract Objective: The meta-analysis was conducted to test the link between pancreatic cancer (PC) risk and dietary inflammatory index (DII®) score. Design: Systematic review and meta-analysis. Setting: We searched PubMed, Embase, Web of Science, and the Cochrane Library up to November 22, 2020, to identify the relevant studies. Studies that reported the risk estimates and the corresponding 95% confidence intervals (CIs) for the DII category and PC risk were included. The effect sizes were pooled using the random-effects model. Dose–response analysis was conducted where possible. Participants: Two prospective cohort studies of 634 705 participants (3 152 incident cases), and four case-control studies of 2 737 cases and 4 861 controls. Results: Overall, the pooled risk ratio (RR) indicated that individuals in the highest category compared with the lowest category had an increased PC risk (RR=1.45; 95% CI 1.11, 1.90; P=0.006). Meanwhile, significant heterogeneity was also revealed. The dose-response meta-analysis indicated that a 1-unit increase in the DII score was associated with the PC risk (RR=1.08; 95% CI 1.002, 1.166; P=0.045; I 2 =94.1%, P<0.001). Nonlinear result showed an increased risk of moving from fewer to more inflammatory borders with increasing DII score (Pnonlinearity = 0.003; I 2 =76.5%, P<0.001). Subgroup analyses found that significant positive association between PC risk and DII score appeared to be in case-control studies (RR=1.70; 95% CI 1.16, 2.50; P=0.007) and studies with ≤31 DII components (RR=1.76; 95% CI 1.14, 2.72; P=0.011). Conclusion: These findings suggested dietary habits with high inflammatory features (high DII score) might increase PC risk.

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