Objective
To evaluate the diagnostic value of vascular endothelial growth factor (VEGF)-D detection for the diagnosis of lymphangioleiomyomatosis (LAM) by Meta-analysis.
Methods
Literatures published before August 2017 were retrieved from PubMed, Embase, China Biology Medicine database, China National Knowledge Internet, Wangfang, and VIP database to retrieve the study about VEGF-D detection for LAM. The studies were screened according to the inclusive and exclusive criteria, the data were extracted, the quality was assessed and the Meta-analysis was performed with related statistical software.
Results
Six primary studies were included and 521 patients met the inclusion criterion. The Meta-analysis showed the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio of 0.75 [95% confidence interval (CI) (0.70, 0.79)], 0.95 [95%CI (0.91, 0.98)], 16.20 [95%CI (8.70, 30.19)], 0.20 [95%CI (0.10, 0.40)] and 89.49 [95%CI (38.46, 208.22)], respectively. The area under the curve was 0.953 9.
Conclusions
VEGF-D detection showes a good diagnostic value for LAM. A positive result is more clinical meaningful compared with a negative result, helping for the confirmation of the disease.
ObjectiveTo systematically review the diagnostic value of Presepsin for sepsis.
MethodsWe searched databases including PubMed, EMbase, Web of Science, WanFang, VIP and CNKI from inception to June 2015 to collect diagnostic tests related to Presepsin for spesis. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies by QUADAS-2 tool. Then, meta-analysis was performed by Stata 13.0 software.
ResultsA total of 19 studies involving 4140 samples were included. The results of meta-analysis showed that:the pooled sensitivity (Sen) and specificity (Spe) were 0.85 (95%CI 0.79 to 0.90) and 0.83 (95%CI 0.76 to 0.87), respectively. The area under the summary receiver operating characteristic (SROC) curve was 0.91 (95%CI 0.88 to 0.93).
ConclusionPresepsin shows high diagnostic value for sepsis as a novel biomarker. Due to the limited quality of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To evaluate diagnostic accuracy of several relevant cut-off points of Montreal cognitive assessment (MoCA) for mild cognitive impairment (MCI) in Chinese middle-aged adults. Methods Databases including PubMed, EMbase, Web of Science, The Cochrane Library (Issue 5, 2016), OVID, CBM, CNKI, VIP, WanFang Data were searched for diagnostic tests about MoCA for MCI from April 9th 2005 to December 31st 2015. Two reviewers independently screened literatures according to the inclusion and exclusion criteria, extracted data and assessed the methodological quality by QUADAS-2 tool. Then, meta-analysis was performed by Stata 14.0 software. Results A total of 27 studies involving 5 755 participants were included with mean ages from 60 to 80 years old. Among them, 1 997 were diagnosed as MCI patients by Petersen criteria. Based on maximal area under the ROC curve as well as optimal pooled sensitivity and specificity, the optimal cutoff value of MoCA was 25/26, the pooled sensitivity was 0.96 with 95%CI 0.93 to 0.97, specificity was 0.83 with 95%CI 0.75 to 0.89, and DOR was 107 with 95%CI 61 to 188. The subgroup analysis with different research designs, different sources of study participants and different MoCA versions all indicated 25/26 as an optimal cut-off value. Conclusion The optimal cutoff value of MoCA in Chinese middle-aged adults for screening MCI by Petersen criteria was 25/26.
ObjectiveTo systematically review the diagnostic value of HBV Pre-S1Ag tested by enzyme-linked immunosorbent assay (ELISA) in patients with hepatitis B virus replication.
MethodsSuch databases as PubMed, EMbase, The Cochrane Library (Issue 3, 2014), CBM, CNKI, VIP and WanFang Data were electronically and comprehensively searched for relevant studies on the diagnostic value of HBV Pre-S1Ag tested by ELISA in patients with hepatitis B virus replication from inception to May 1st, 2014. Relevant journals were also manually retrieved. Two reviewers independently screened literature according to inclusion and exclusion criteria, extracted data, and assessed methodological quality of included studies. Meta-analysis was then conducted using Meta-Disc 1.4 software.
ResultsFinally, fifteen studies were included, involving 1 994 patients with hepatitis B diagnosed by the gold standard and 526 patients with non-hepatitis B diseases. The results of meta-analysis showed (Sen=0.76, 95%CI 0.74 to 0.78; Spe=0.90, 95%CI 0.88 to 0.91; +LR=8.54, 95%CI 4.25 to 17.15;-LR=0.17, 95%CI 0.10 to 0.27; DOR=65.12, 95%CI 24.91 to 170.28; AUC=0.943 0, SE=0.018 1; Q*=0.881 3, SE=0.023 4).
ConclusionHBV Pre-S1Ag tested by ELISA has certain value in the diagnosis of patients with hepatitis B virus replication. Due to poor methodological quality of the included studies, the above conclusion should be verified by conducting high quality diagnostic tests.
ObjectiveTo systematically review the value of contrast-enhanced ultrasound in diagnosis of benign and malignant renal tumors.
MethodsSuch databases as PubMed, EMbase, The Cochrane Library (Issue 9, 2013), CBM, CNKI, WanFang Data and VIP were searched by Sep 31st, 2013. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed the methodological quality of included studies. Then meta-analysis was performed using Meta-Disc 1.4 software.
ResultsSeven studies involving 462 patients were finally included. ROC curve showed shoulder-arm shape. The results of Spearman suggested significance of the threshold effect. The results of meta-analysis showed that, the area under curve (AUC) was 0.98.
ConclusionContrast-enhanced ultrasound can improve diagnostic accuracy, which is of important value in the diagnosis and differential diagnosis of benign and malignant renal tumors. Due to limited quality and quantity of the included studies, the abovementioned conclusion still needs to be verified by conducting more high quality studies.
Objective To elaborate on the statistical analysis methods for evaluating the accuracy of imaging diagnostic tests in a multiple-reader multiple-case (MRMC) design through formula derivation and real cases. Methods This study consisted of two parts: theoretical derivation and a real case study. The theoretical part discussed in detail the principles and procedures of MRMC statistical analysis methods, particularly the Obuchowski-Rockette (OR) and Dorfman-Berbaum-Metz (DBM) methods. The real case included 100 subjects, of whom 67 had disease. Four readers interpreted all the cases based on both traditional film imaging methods and digital imaging methods. OR and DBM methods were employed for data analysis. Results The real case showed that the OR and DBM methods had a high degree of consistency, with only slight differences in the confidence intervals. Conclusion It is recommended to use the OR and DBM methods for the statistical analysis of imaging diagnostic test accuracy, ensuring that the impact of reader factors on the evaluation results is fully considered. The results from the OR and DBM methods are relatively similar; when applying these methods in practice, one should consider the specific characteristics of the data and the research design to choose the appropriate analysis method. Besides, there are still challenges when applying the OR and DBM methods, such as software implementation and missing data handling, which require further exploration.
ObjectiveTo systematically review the diagnostic value of ultrasound for breast cancer with axillary sentinel lymph nodes, so as to provide evidence for clinical decision-making.
MethodsWe searched the databases including PubMed, EMbase, The Cochrane Library (Issue 12, 2013), CBM, CNKI, WanFang Data and VIP for studies about ultrasound in the diagnosis of breast cancer with axillary sentinel lymph nodes till December 31st, 2013. According to the inclusion and exclusion criteria, literature was screened, data were extracted, and methodological quality of the included studies was evaluated. Meta-analysis was then conducted using Meta-Disc 1.4 software.
ResultsA total of 12 studies involving 2 188 cases were included. The pooled results of meta-analysis showed that sensitivity and specificity were 0.75 (95%CI 0.72 to 0.77) and 0.91 (95%CI 0.89 to 0.92), respectively; positive likelihood ratio and negative likelihood ratio were 6.54 (95%CI 4.68 to 8.89) and 0.22 (95%CI 0.15 to 0.33), respectively; diagnostic odds ratio was 33.59 (95%CI 17.87 to 63.12); and the AUC was 0.934 3.
ConclusionUltrasound is has relatively high value in diagnosis of breast cancer with axillary sentinel lymph nodes. However, due to the influence caused by the limited quality and various potential heterogeneity, more high quality RCTs with large sample size are needed to further verify the above conclusion.
ObjectiveTo systematically review the diagnostic value of the ultrasonographic elastography in the differential diagnosis of axillary lymph nodes in breast cancer.MethodsWe electronically searched the databases including The Cochrane Library, PubMed, CNKI, WanFang Data, VIP, MedaLink and CBM for studies about diagnostic value of the ultrasonographic elastography in the differential diagnosis of axillary lymph nodes in breast cancer from inception to October 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Then meta-analysis was performed using MetaDisc 1.4 software.ResultsA total of 9 studies involving 735 lymph nodes were included. The results of meta-analysis showed that, the pooled sensitivity, pooled specificity, pooled positive likelihood ratio, pooled negative likelihood ratio and DOR were 0.82 (95%CI 0.78 to 0.86), 0.76 (95%CI 0.72 to 0.81), 3.32 (95%CI 2.57 to 4.27), 0.25 (95%CI 0.20 to 0.31), and 14.77 (95%CI 10.20 to 21.38), respectively. The AUC of the SROC curve was 0.8741.ConclusionUltrasonographic elastography has high sensitivity and specificity in the differential diagnosis of axillary lymph nodes in breast cancer, which indicates that it can be used to diagnosis axillary lymph nodes in breast cancer.
