1.Diagnostic value of miR-29 family in cancers: a Meta-analysis
WANG Zhipeng ; DENG Lihong ; PAN Xiongfeng ; WU Xiaoli ; LIU Aizhong
Chinese Journal of Cancer Biotherapy 2019;26(4):445-453
Objective: To determine the potential diagnostic value of miRNA-29 (miR-29) for malignant tumor. Methods: A systematic search of literature regarding miR-29 was performed in three English databases (PubMed, Web of Science, and Embase) and two Chinese databases (Chinese National Knowledge Infrastructure [CNKI] and WanFang). The retrieval was ended until September 15, 2018. Search terms included miRNA-29 (miR-29), tumor, cancer, serum, plasma, diagnosis, etc. Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was carried out to evaluate the quality of the selected articles. STATA12.0 was used to calculate the combined sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR). Subgroup analysis and Meta-regression analysis were carried out to explore the origin of heterogeneity. Results: Twenty eligible articles were selected from 1 172 literatures related to tumors and miR-29. The combined sensitivity was 0.76 (95%CI: 0.68-0.83), combined specificity was 0.83 (95%CI: 0.74-0.89), combined PLR was 4.5 (95%CI: 2.7-7.4), combined NLR was 0.28 (95%CI: 0.20-0.41), DOR was 16 (95%CI: 7-35), and theAUC was 0.86 (95%CI: 0.83-0.89). The combined specificity of plasma samples was higher than that of serum samples, and the difference was statistically significant (P<0.01). There was a higher diagnostic value of miR-29 for breast cancer and pancreatic cancer (DOR=101.52, 11.22), but lower diagnostic value for colorectal cancer and non-small cell lung cancer (DOR=5.05, 6.57); miR-29b showed a high diagnostic value for cancer (DOR=60.91). The publication bias was not obvious in this study (P>0.05). Conclusion: This systematic review and Meta-analysis suggests that miR-29 family is a potential biomarker in the diagnosis of cancers with great sensitivity and specificity.
2.Methylene blue in the treatment of vasodilatory shock: a Meta-analysis
Xiongfeng ZHANG ; Yun GAO ; Pengfei PAN ; Yi WANG ; Wenzhe LI ; Xiangyou YU
Chinese Critical Care Medicine 2017;29(11):982-987
Objective To investigate the clinical efficacy of methylene blue in the treatment of refractory hypotension caused by vascular paralysis during the course of vasodilatory shock. Methods The related articles were searched by retrieving the terms using methylene blue, vascular paralysis, hemodynamics, hypotension, vasodilatory shock in CNKI, China Biomedical Literature database, Wanfang database, PubMed, Springer Link, and BIOSIS Previews database. The retrieval time was from January 1994 to June 2017. The randomized clinical trials (RCTs) which using methylene blue as the experimental group, normal saline or catecholamine as the control in the treatment of refractory hypotension caused by vascular paralysis during the course of vasodilatory shock were collected. The primary end points were mean arterial pressure (MAP) immediately or 1 hour after the methylene blue administration, and the mortality at the longest follow-up available; the secondary end point was serum lactic acid (Lac) 1 hour after the methylene blue administration. Literature screening, data extraction and quality evaluation were carried out by two researchers. Meta analysis was performed using RevMan 5.3 software. The sensitivity analysis was performed in two trials with low risk of bias. The funnel plot for MAP was performed in five relative trials to analyze the research and publication bias. Results Totally 269 relative articles were collected, according to the inclusion and exclusion criteria, finally 6 RCTs with 214 patients were enrolled, 108 in methylene blue group, and 106 in control group. Four of the studies were considered to have mild to moderate risk of bias, two studies of high risk of bias. The Meta-analysis demonstrated that compared with the control group, methylene blue could significantly improve MAP [mean difference (MD) = 4.87, 95% confidence interval (95%CI) = 2.61 to 7.13, P < 0.000 1], reduce the serum Lac levels (MD = -1.06, 95%CI = -1.98 to -0.14, P = 0.02), and the mortality was decreased without statistical difference [odds ratio (OR) = 0.58, 95%CI = 0.25 to 1.31, P = 0.19]. Sensitivity analysis was performed in two trials with low risk of bias, which demonstrated methylene blue could exactly increase MAP (MD = 8.93, 95%CI = 1.55 to 16.32, P = 0.02). Funnel plot for MAP was performed in five relative trials which found no obvious publication bias. Conclusions Methylene blue could significantly increase MAP in the patients with refractory hypotension caused by vascular paralysis during the course of vasodilatory shock, decrease the Lac levels, and does not increase the risk of death. Therefore, methylene blue should be a potential and safe vasoconstrictor.
3.Progress in spatial information technology in autistic spectrum disorders.
Xiongfeng PAN ; Atipatsa C KAMINGA ; Aizhong LIU
Journal of Central South University(Medical Sciences) 2020;45(1):85-90
The pathogenesis of autistic spectrum disorders is complicated and the exact etiology and pathogenesis remain unclear. Major advances in spatial information technology have revealed the potential of spatial information technology as an effective tool in research and treatment for children with autistic spectrum disorders. However, there are too many fragmented research topics. According to recent reports on spatial information technology, there is no precedent for the application of spatial information technology in autistic spectrum disorders in China. Space information technology analysis for autistic spectrum disorders can be divided into the following steps: pre analysis, spatial clustering analysis, spatial model analysis, and interpretation of related results. It is hopeful that the space information technology can provide proposals for the future research on the pathogenesis of autistic spectrum disorders in our country.
Autistic Disorder
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Child
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China
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Cluster Analysis
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Humans
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Information Technology
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Spatial Analysis