Association Between Type 1 Diabetes Mellitus and Eating Disorders: A Systematic Review and Meta-Analysis.

BACKGROUND: Previous meta-analyses have shown mixed results regarding the association between eating disorders (EDs) and type 1 diabetes mellitus (T1DM). Our paper aimed to analyse different EDs and disordered eating behaviours that may be practiced by patients with T1DM. METHODS: A literature search of PubMed, Scopus and Web of Science was conducted on 17 January 2023, using the key terms "T1DM," "Eating Disorders" and "Bulimia." Only observational controlled studies were included. The Revman software (version 5.4) was used for the analysis. RESULTS: T1DM was associated with increased risk of ED compared with nondiabetic individuals (RR = 2.47, 95% CI = 1.84-3.32, p-value < 0.00001), especially bulimia nervosa (RR = 2.80, 95% CI = 1.18-6.65, p-value = 0.02) and binge eating (RR = 1.53, 95% CI = 1.18-1.98, p-value = 0.001). Our analysis has shown that increased risk of ED among T1DM persisted regardless of the questionnaire used to diagnose ED; DM-validated questionnaires (RR = 2.80, 95% CI = 1.91-4.12, p-value < 0.00001) and generic questionnaires (RR = 2.03, 95% CI = 1.27-3.23, p-value = 0.003). Prevalence of insulin omission/misuse was 10.3%; diabetic females demonstrated a significantly higher risk of insulin omission and insulin misuse than diabetic males. CONCLUSION: Our study establishes a significant and clear connection between EDs and T1DM, particularly bulimia and binge eating, with T1DM. Moreover, female diabetics are at higher risk of insulin misuse/omission. Early proactive screening is essential and tailored; comprehensive interventions combining diabetes and ED components are recommended for this population, with referral to a specialised psychiatrist.

Cyclophilin C as a Novel Diagnostic and Prognostic Biomarker of Coronary Artery Diseases. A Systematic Review and Meta-Analysis.

We aimed to perform a meta-analysis to investigate the value of Cyclophilin C as a diagnostic and prognostic biomarker in Coronary Artery Disease. PubMed, Web of Science, Scopus and Cochrane library databases were searched. The inclusion criteria were any randomized control trials or controlled observational studies that measured the levels of Cyclophilin C in Coronary Artery disease patients and healthy controls. We excluded case reports, case series, reviews, editorials and animal studies. After search of the literature, 4 studies were included in the meta-analysis with a total number of 454 individuals included in the study. The pooled analysis showed a significant association between CAD group and increased levels of Cyclophilin C (MD = 28.94, 95% confidence interval (CI) = 19.28-38.60, P-value < 0.00001). Subgroup analysis showed a significant association between acute and chronic CAD group with increased levels of cyclophilin c compared with the control group (MD = 35.98, 95% CI = 19.84-52.11, P-value < 0.0001) and (MD = 26.36, 95% CI = 21.87 to 30.85, P-value < 0.00001), respectively. The pooled effect estimate showed that the ROC area for the cyclophillin c as a diagnostic biomarker of CAD was (ROC= 0.880, 95% CI =0.844-0.917, P-value < 0.001). Our study revealed a significant association between acute and chronic coronary artery disease with increased levels of Cyclophilin C. Cyclophilin C could be used as a novel diagnostic and prognostic biomarker in acute and chronic CAD. More research is warranted to support our results.