Abstract: Objective  To systematically evaluate the risk relationship between Coxsackie virus(CV) infection and type 1 diabetes mellitus(T1DM).
Methods  According to the principle of PICOs, the retrieval scheme was constructed, and PubMed, EmBase, Sinomed, CNKI, Wanfang database, and VIP were searched comprehensively with subject words and free words from the inception until May 28 2020. Newcastle Ottawa scale was used to evaluate the quality of included documents; Revman 5.3 software package was used to draw forest map and funnel map. The odds ratio(or) and 95% confidence interval(CI) were calculated by random effect model(I2>50%) or fixed effect model(I2<50%). The evaluation results included the risk relationship of CV, subtypes(1-6) and type 1 diabetes, and the influence of different study areas, different age and different CV detection methods on the risk relationship of CV and T1DM.
Results  According to the inclusion and exclusion criteria, 372 articles were retrieved. Of them, 312 papers that were not related to the research topic were excluded, and 36 papers that were not rigorously designed were excluded after browsing the full text. Finally, 24 literature was selected for systematic evaluation and meta-analysis, one of which had no data available. The total sample size was 3 163, including 1 693 in case group and 1 613 in control group. The results showed that the risk of CVB infection in T1DM patients was 5 times higher than that in the control group(OR=4.49, 95%CI:2.65-7.50, P＜0.05). The risk of CVB infection in T1DM patients was 1.56 times higher than that in the control group(OR=1.56,95%CI:1.20-2.03, P＜0.05). The detection method of CVB had a great influence on the results.
Conclusion  The present evidence suggests that CVB infection has a statistical correlation with T1DM. Therefore, CVB infection may be a cause of T1DM or promote the occurrence of T1DM.

Key words: coxsackievirus infection, diabetes mellitus, type 1, Meta-analysis  ,