ObjectiveTo determine the diagnostic accuracy of telemedicine in various clinical levels of diabetic retinopathy (DR) and diabetic macular oedema (DME).MethodsPubMed, EMBASE and Cochrane databases were searched for telemedicine and DR. The methodological quality of included studies was evaluated using the Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2). Measures of sensitivity, specificity and other variables were pooled using a random effects model. Summary receiver operating characteristic curves were used to estimate overall test performance. Meta-regression and subgroup analyses were used to identify sources of heterogeneity. Publication bias was evaluated using Stata V.12.0.ResultsTwenty articles involving 1960 participants were included. Pooled sensitivity of telemedicine exceeded 80% in detecting the absence of DR, low- or high-risk proliferative diabetic retinopathy (PDR), it exceeded 70% in detecting mild or moderate non-proliferative diabetic retinopathy (NPDR), DME and clinically significant macular oedema (CSME) and was 53% (95% CI 45% to 62%) in detecting severe NPDR. Pooled specificity of telemedicine exceeded 90%, except in the detection of mild NPDR which reached 89% (95% CI 88% to 91%). Diagnostic accuracy was higher with digital images obtained through mydriasis than through non-mydriasis, and was highest when a wide angle (100–200°) was used compared with a narrower angle (45–60°, 30° or 35°) in detecting the absence of DR and the presence of mild NPDR. No potential publication bias was detected.ConclusionsThe diagnostic accuracy of telemedicine using digital imaging in DR is overall high. It can be used widely for DR screening. Telemedicine based on the digital imaging technique that combines mydriasis with a wide angle field (100–200°) is the best choice in detecting the absence of DR and the presence of mild NPDR.
Aims/IntroductionBesides the aging population in China, the following have become serious public health problems: increasing urban population, lifestyle changes and diabetes. We assessed the epidemiology of type 2 diabetes mellitus in China between 2000 and 2014, and analyzed time trends to better determine the prevalence status of diabetes in China and to provide a basis for prevention and decision‐making.Materials and MethodsIn our systematic review, we searched China National Knowledge Infrastructure, Chinese VIP Information, Wanfang and PubMed databases for studies on type 2 diabetes mellitus between 2000 and 2014 in China. Two investigators extracted the data and assessed the quality of the included literature independently. We excluded studies that did not use 1999 World Health Organization criteria for diabetes. We also excluded reviews and viewpoints, studies with insufficient data, studies that were not carried out in mainland China and studies on troops, community, schools or physical examination people. We used stata 12.0 to combine the prevalence of all studies, calculated the pooled prevalence and its 95% confidence interval, and analyzed the differences among men/women, urban/rural areas and year of study. We calculated the prevalence of seven geographic areas of China, respectively, and mapped the distribution in the whole country to estimate the pooled prevalence of each area.ResultsOur search returned 4,572 studies, 77 of which satisfied the inclusion criteria. The included studies had a total of 1,287,251 participants, in which 680,574 cases of type 2 diabetes mellitus were recorded. The overall prevalence (9.1%) has been increasing since the 1970s, and it increased rapidly with age. The prevalence of the 65–74 years group was as high as 14.1%. Meanwhile, the prevalence among men/women and urban/rural areas was significantly different. The prevalence was 9.9% for men and 11.6% for women, which were significantly higher than the average at the end of the last century and the beginning of this century. The prevalence rate in urban areas (11.4%) was significantly higher than that in rural areas and in urban‐rural fringe areas, and the prevalence in rural areas (8.2%) was slightly higher than that in urban‐rural fringe areas (7.5%). In addition, the prevalence in each geographic area were estimated and mapped, which showed a large imbalance in the map.ConclusionsOur analysis suggested that type 2 diabetes mellitus is highly prevalent in China. These results underscore the urgent need for the government to vigorously strengthen the management of diabetes prevention and control.
Mumps virus (MuV) infection frequently causes orchitis and impairs male fertility. However, the mechanisms underlying the innate immune responses to MuV infection in the testis have yet to be investigated. This study showed that MuV induced innate immune responses in mouse Sertoli and Leydig cells through TLR2 and retinoic acid-inducible gene I (RIG-I) signaling, which result in the production of proinflammatory cytokines and chemokines, including TNF-α, IL-6, MCP-1, CXCL10, and type 1 interferons (IFN-α and IFN-β). By contrast, MuV did not induce the cytokine production in male germ cells. In response to MuV infection, Sertoli cells produced higher levels of proinflammatory cytokines and chemokines but lower levels of type 1 IFNs than Leydig cells did. The MuV-induced cytokine production by Sertoli and Leydig cells was significantly reduced by the knockout of TLR2 or the knockdown of RIG-I signaling. The local injection of MuV into the testis triggered the testicular innate immune responses in vivo. Moreover, MuV infection suppressed testosterone synthesis by Leydig cells. This is the first study examining the innate immune responses to MuV infection in testicular cells. The results provide novel insights into the mechanisms underlying the MuV-induced innate immune responses in the testis.
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