scholarly journals Shear wave elastography imaging for detecting malignant lesions of the liver: a systematic review and pooled meta-analysis

2017 ◽  
Vol 19 (1) ◽  
pp. 16 ◽  
Author(s):  
Yang Jiao ◽  
Fajin Dong ◽  
Hui Wang ◽  
Lei Zhang ◽  
Jinfeng Xu ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Shear Wave ◽  
Likelihood Ratio ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Shear Wave Elastography ◽  
Diagnostic Odds Ratio ◽  
Liver Lesions ◽  
Benign Lesions ◽  
Sensitivity Specificity

Aim: To investigate the clinical utility of shear wave elastography (SWE) imaging in the identification of malignant and benign lesions of the liver lesions by conducting a meta-analysis. Material and methods: The Cochrane library, Embase and Pubmed were searched for relevant studies with publication data through February 2016. Studies evaluating the diagnostic accuracy of SWE in the identification of malignant and benign lesions of the liver using SWE technology were selected. The cytology, histology or clinical imaging was used as the reference standard. The pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and the area under hierarchical summary receiver operating characteristic curve (HSROC) were used to examine the diagnostic accuracy. Results: A total of 9 cohort studies involving 1046 liver lesions (malignant 679) from 968 patients were identified. All of the 9 studies were prospective studies. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of SWE in differentiating malignant and benign liver lesions were 82.2% (95% CI: 73.4–88.5), 80.2% (95% CI: 73.3–85.7), 4.159 (95% CI: 2.899–5.966), 0.222 (95% CI: 0.140–0.352), and 18.749 (95% CI: 8.746–40.195), respectively. The area under the HSROC curve was 87% (95% CI: 84–90). Conclusions: This meta-analysis indicates that SWE is useful in evaluating the stiffness of liver lesions and in differentiating between malignant and benign lesions. Due to the high sensitivity, specificity, and diagnostic odds ratio, SWE can be considered as a useful complement to conventional ultrasonography.

scholarly journals The diagnostic accuracy of B-mode ultrasound in detecting meniscal tears: a systematic review and pooled meta-analysis

2018 ◽  
Vol 20 (2) ◽  
pp. 164 ◽  
Author(s):  
Fajin Dong ◽  
Lei Zhang ◽  
Shuxia Wang ◽  
Duo Dong ◽  
Jinfeng Xu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Meniscal Tears ◽  
Linear Probe ◽  
Sensitivity Specificity

Aim: To evaluate the diagnostic accuracy of meniscal tears using B-mode ultrasound and high-frequency linear probe by conducting a systematic review and pooled meta-analysis. Material and methods: The Cochrane library, Embase, and Pubmed were searched for relevant studies up to 29 July 2017. The arthroscopy was used as the reference standard. The results were estimated by pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and the area under the summary receiver operating characteristic (SROC). Results: Seven prospective studies met the selection criteria, comprising 321meniscal tears from 472 patients. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the SROC curve were 88.80% (95%CI: 82.83-92.87), 84.66% (95%CI: 75.89-90.64), 5.79(95%CI: 3.66-9.15), 0.13 (95%CI: 0.09-0.20), and 43.74 (95%CI: 24.01-79.68), respectively. The area under the SROC curve was 93% (95%CI: 91-95). Conclusions: This meta-analysis indicates that 2-dimensional ultrasound is useful, and could be routinely used for estimating meniscal injuries in the human knee joint

scholarly journals The Potential Diagnostic Accuracy of Circulating MicroRNAs for Leukemia: A Meta-Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110119
Author(s):  
Wen-Ting Zhang ◽  
Guo-Xun Zhang ◽  
Shuai-Shuai Gao
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Circulating Micrornas ◽  
Sensitivity Specificity

Background: Leukemia is a common malignant disease in the human blood system. Many researchers have proposed circulating microRNAs as biomarkers for the diagnosis of leukemia. We conducted a meta-analysis to evaluate the diagnostic accuracy of circulating miRNAs in the diagnosis of leukemia. Methods: A comprehensive literature search (updated to October 13, 2020) in PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure (CNKI) was performed to identify eligible studies. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for diagnosing leukemia were pooled for both overall and subgroup analysis. The meta-regression and subgroup analysis were performed to explore heterogeneity and Deeks’ funnel plot was used to assess publication bias. Results: 49 studies from 22 publications with a total of 3,489 leukemia patients and 2,756 healthy controls were included in this meta-analysis. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve were 0.83, 0.92, 10.8, 0.18, 59 and 0.94, respectively. Subgroup analysis shows that the microRNA clusters of plasma type could carry out a better diagnostic accuracy of leukemia patients. In addition, publication bias was not found. Conclusions: Circulating microRNAs can be used as a promising noninvasive biomarker in the early diagnosis of leukemia.

scholarly journals Prognostic Value of N-terminal Probrain Natriuretic Peptide for Patients with Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Qi Ni ◽  
Chaoqian Li ◽  
Hua Lin
Keyword(s):  
Systematic Review ◽  
Acute Respiratory Distress Syndrome ◽  
Likelihood Ratio ◽  
Odds Ratio ◽  
Distress Syndrome ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Sensitivity Specificity

Objectives. The mortality rate of patients with acute respiratory distress syndrome (ARDS) is high. Hence, it is crucial to identify a reliable biomarker with wide clinical applications for predicting the prognosis of patients with ARDS. This systematic review and meta-analysis was conducted to investigate the value of plasma N-terminal probrain natriuretic peptide (NT-proBNP) for predicting mortality in patients with ARDS. Methods. An electronic search of databases including PubMed, Web of Science, Cochrane Library, and Chinese National Knowledge Infrastructure was conducted up to May 31, 2019, without language restrictions. The quality of the included studies was evaluated using QUADAS-2. Data were extracted and analyzed to obtain pooled estimates of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. A forest graph was used to evaluate heterogeneity. Potential causes of heterogeneity were further explored by subgroup analysis based on the testing day, testing method, observation endpoint, or cut-off points. A summary receiver operating characteristic curve was drawn to obtain the pooled area under the curve. Results. A total of 7 studies involving 581 patients with ARDS were included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were as follows: 0.79 (95% CI: 0.72–0.84), 0.79 (95% CI: 0.66–0.88), 3.68 (95% CI: 2.16–6.28), 0.27 (95% CI: 0.20–0.38), and 13.58 (95% CI: 6.17–29.90), respectively. The results of subgroup analysis showed that the testing day influenced the summary sensitivity and that the cut-off points influenced the summary sensitivity and specificity. Conclusion. Our results indicate that elevated plasma NT-proBNP levels have a moderate value for predicting the mortality of patients with ARDS.

Accuracy of multiparametric MRI in distinguishing the breast malignant lesions from benign lesions: a meta-analysis

2020 ◽  
pp. 028418512096390
Author(s):  
Chun-Rong Zhu ◽  
Ke-Yu Chen ◽  
Pan Li ◽  
Zhi-Yang Xia ◽  
Bin Wang
Keyword(s):  
Likelihood Ratio ◽  
Odds Ratio ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Multiparametric Mri ◽  
Benign Lesions ◽  
Malignant Lesions ◽  
Sensitivity Specificity

Background The sensitivity of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for detecting breast cancer was high and the specificity was relatively low. However, diffusion-weighted imaging (DWI) has a high specificity in the diagnosis of malignant lesions. Purpose To evaluate the accuracy of the multiparametric MRI (mp-MRI) in distinguishing the breast malignant lesions from the benign lesions. Material and Methods A comprehensive search of the PubMed, Embase, and Cochrane Library electronic databases was conducted up to March 2020. Data were analyzed for the following indexes: pooled sensitivity and specificity; positive likelihood ratio; negative likelihood ratio; diagnostic odds ratio; and the area under the curve. Results A total of 2356 patients with 1604 malignant and 967 benign breast lesions were included from 22 studies. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve for mp-MRI were 0.93, 0.85, 6.3, 0.08, 81, and 0.96, respectively. The pooled sensitivity, specificity, and area under the curve for DCE-MRI alone were 0.95, 0.71, and 0.92, respectively. The pooled sensitivity, specificity, and area under the curve for DWI alone were 0.88, 0.84, and 0.93, respectively. Conclusion The mp-MRI did not improve the sensitivity but increased the specificity for the diagnosis of breast malignant lesions.

scholarly journals MicroRNAs as Biomarkers for the Diagnosis of Ankylosing Spondylitis: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Jiangbi Li ◽  
Xiaoping Xie ◽  
Weibing Liu ◽  
Feng Gu ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Good Diagnostic Accuracy ◽  
Sensitivity Specificity

Background: Abnormal expression levels of microRNAs (miRNAs) were observed in ankylosing spondylitis (AS) in recent articles, suggesting that miRNAs may be used as biomarkers for AS diagnoses. In this paper, we conducted a meta-analysis to identify the overall diagnostic accuracy of miRNA biomarkers in AS patients.Methods: An extensive search was undertaken in PubMed, Embase, Cochrane databases, and Wan Fang database up to 30 December 2020 using the following key words: (“microRNAs” or “microRNA” or “miRNA” or “miR” or “RNA, Micro” or “Primary MicroRNA”) and (“Spondylitis Ankylosing” or “Spondyloarthritis Ankylopoietica” or “Ankylosing Spondylarthritis” or “Ankylosing Spondylarthritides” or “Spondylarthritides Ankylosing” or “Ankylosing Spondylitis”) and (“blood” or “serum” or “plasma”). Statistical evaluation of dysregulated miRNAs using the sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the curve (AUC).Results: Twenty-nine articles reporting on the miRNAs of AS were included. A total of 42 miRNAs were observed to be up-regulated and 45 miRNAs were down-regulated in the AS cases compared with the controls. Besides, 29 studies from nine articles were included in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0. 76 (95% CI, 0.70–0.81), 0.80 (95% CI, 0.74–0.85), 3.75 (95% CI, 2.82–5.01), 0.30 (95% CI, 0.24–0.39), 12.32 (95% CI, 7.65–19.83), 0.85 (95% CI, 0.81–0.88), respectively, suggesting a good diagnostic accuracy of miRNAs for AS.Conclusions: Circulating miRNAs are deregulated in AS patients. miRNAs may be used as a relatively non-invasive biomarkers for the detection of AS.

scholarly journals The Diagnostic Value of LncRNAs for Bladder Cancer: A Meta-Analysis

2021 ◽  
Author(s):  
Yuan Chen ◽  
Faiza Naz ◽  
Shi Fu ◽  
Mengran Shi ◽  
Haihao Li ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Sensitivity And Specificity ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Diagnostic Odds Ratio ◽  
Diagnostic Value ◽  
Cochrane Library

Abstract Background: In recent years, qualitative and quantitative analysis of LncRNA has been reported as a potential method for early diagnosis of bladder cancer, but the results from each research are insufficient and not completely consistent. This meta-analysis aims to evaluate the diagnostic value of LncRNA for BC.Methods: We conducted a diagnostic meta-analysis and the diagnostic significance of LncRNA in blood, urine and tumor tissues was discussed. We searched the PUBMED, EMABASE, and Cochrane Library until June 2020. The current meta-analysis was performed using Review Manager 5.2, Stata 16.0 and Meta-Disc 1.4 software. Results: A total of 18 researches involving early and/or advanced bladder cancer were finally included. The overall diagnostic accuracy was measured as follows: pooled sensitivity and specificity were 0.72 (95%CI:0.70, 0.73) and 0.76 (95%CI: 0.75, 0.78). Pooled positive likelihood ratio and negative likelihood ratio were 3.09 (95%CI: 2.66, 3.58) and 0.37 (95%CI: 0.33, 0.42). Combined diagnostic odds ratio was 9.43 (95%CI: 7.30, 12.20). A high diagnostic accuracy was demonstrated by the summary receiver operating characteristic curve, with area under the curve of 0.82 (95%CI: 0.78, 0.85). UCA1 and H19 had the best diagnostic effect, their diagnostic sensitivity and specificity were 80%, 79% and 79%, 73% respectively, the combined diagnostic odds ratio was 16.85 and 12.67 respectively.Conclusions: This meta-analysis suggests that LncRNA have great potential in the diagnosis of bladder cancer, UCA1 and H19 had the best diagnostic effect. LncRNA panel is the future development direction in the diagnosis of bladder cancer. However, larger sample researches are needed to further confirm our conclusion.

scholarly journals Diagnostic Accuracy of 64-Slice Computed Tomography Angiography in Patients with Chest Pain vs. SPECT in the Assessment of Significant Coronary Artery Disease: A Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Maryam Jamali ◽  
Rajabali Daroudi ◽  
Masih Tajdini ◽  
Ali Akbari Sari ◽  
Sajad Alaei ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Diagnostic Accuracy ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Sensitivity Analyses ◽  
Likelihood Ratios ◽  
History Of ◽  
Artery Disease ◽  
Sensitivity Specificity

Context: This systematic review and meta-analysis intended to investigate the diagnostic accuracy of computed tomography angiography (CTA) in comparison with single-photon emission computed tomography (SPECT) for the diagnosis of coronary artery disease (CAD) in chest pain patients with no history of cardiovascular diseases (CVDs). Methods: Invasive angiography was considered as the reference test with a stenosis threshold of ≥ 50%. Cochrane, Scopus, Science Direct, PubMed, and Embase databases were comprehensively searched from the time of inception of these databases to May 15, 2018. A manual search in Google Scholar, a reference review of the obtained studies, and a review of gray literature (including those presented in conferences and congresses) regarding diagnostic performances of CTA and SPECT techniques were performed independently by two researchers. A meta-analysis was performed to determine pooling estimates of sensitivity, specificity, diagnostic odds ratio, and positive as well as negative likelihood ratios in CTA and SPECT tests. According to the 2 × 2 contingency table of each study, at 0.95 confidence interval, the diagnostic accuracy of CTA and SPECT was meta-analyzed by pooling estimates of sensitivity, specificity, diagnostic odds ratio (DOR), and positive and negative likelihood ratios based on DerSimonian-Laird’s random-effects model. Heterogeneity was assessed by calculating I2. Analyses were performed using MetaDiSc version 1.4 and Stata version 11. The qualities of the selected studies were assessed independently by two researchers according to the quality assessment of diagnostic accuracy studies (QUADAS) questionnaire. Sensitivity analyses were performed by the Jackknife method. Publication bias was evaluated by Deeks’ funnel plot. Results: Fourteen studies related to CTA (1206 individuals) and 15 related to SPECT (1638 individuals) were eligible for meta-analysis. The pooled sensitivity and the specificity of CTA for CAD diagnosis were 91% (95% CI, 88% - 94%) and 87% (95% CI, 84% - 98%), respectively. The pooled positive and negative likelihood ratios, the diagnostic odds ratio, and the area under the ROC curve for CTA were 7.93 (95% CI, 5.11 - 12.29), 0.1 (95% CI, 0.06 - 0.17), 95.71 (95% CI, 59.81 - 153.15), and 0.96, respectively. The pooled sensitivity and the specificity of SPECT for CAD diagnosis were 81% (95% CI, 79% - 83%) and 74% (95% CI, 71% - 78%), respectively. The pooled positive and negative likelihood ratios, the diagnostic odds ratio, and the area under the ROC curve for SPECT were 3.03 (95% CI, 2.34 - 3.91), 0.25 (95% CI, 0.21 - 0.30), 13.56 (95% CI, 10.60 - 12.34), and 0.86, respectively. According to the sensitivity analyses, the removal of any single study at a time did not change the effect size of the remaining studies. We observed symmetry in the Deeks’ funnel plot, indicating that there was ignorable publication bias for CTA and SPECT studies. Conclusions: This study demonstrated that the diagnostic accuracies of CTA and SPECT tests lie in the ‘excellent’ and the ‘very good’ ranges, respectively. CTA is stronger evidence, than SPECT, to rule out CVDs in patients with low and intermediate risks of CAD with no history of cardiovascular diseases.

scholarly journals Post-operative serum procalcitonin vs C reactive Protein as a marker of post-operative infectious complications in pancreatic surgery – A systemic review and meta-analysis

2020 ◽  
Author(s):  
Bhavin Vasavada ◽  
Hardik Patel
Keyword(s):  
Diagnostic Accuracy ◽  
Odds Ratio ◽  
Area Under Curve ◽  
Pancreatic Surgery ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Infectious Complications ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Sensitivity Specificity

AbstractAim of StudyAim of this meta-analysis was to compare diagnostic accuracy of C reactive Protein and Procalcitonin between postoperative day 3 to 5 in predicting infectious complications post pancreatic surgery.MethodsSystemic literature search was performed using MEDLINE, EMBASE and SCOPUS to identify studies evaluating the diagnostic accuracy of Procalcitonin (PCT) and C-Reactive Protein (CRP) as a predictor for detecting infectious complications between postoperative days (POD) 3 to 5 following pancreatic surgery. A meta-analysis was performed using random effect model and pooled predictive parameters. Geometric means were calculated for PCT cut offs. The work has been reported in line with PRISMA guidelines.ResultsAfter applying inclusion and exclusion criteria 15 studies consisting of 2212 patients were included in the final analysis according to PRISMA guidelines. Pooled sensitivity, specificity, Area under curve and diagnostic odds ratio (DOR)for day 3 C-reactive protein was respectively 62%,67% 0.772 and 6.54. Pooled sensitivity, specificity, Area under curve and diagnostic odds ratio (DOR)for day 3 procalcitonin was respectively 74%,79%,0.8453 and 11.03. Sensitivity, specificity, Area under curve, and Diagnostic odds ratio for day 4 C-reactive protein was respectively 60%,68%, 0.8022 and 11.90. Pooled Sensitivity, specificity and Diagnostic odds ratio of post-operative day 5 procalcitonin level in predicting infectious complications were respectively 83%,70% and 12.9. Pooled Sensitivity, specificity, AUROC and diagnostic odds ratio were respectively 50%,70%, 0.777 and 10.19.ConclusionPost-operative procalcitonin is better marker to predict post-operative infectious complications after pancreatic surgeries and post-operative day 3 procalcitonin has highest diagnostic accuracy.

scholarly journals Accuracy of Enzyme-Linked Immunosorbent Assays (ELISAs) in Detecting Antibodies againstMycobacterium lepraein Leprosy Patients: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Omar Ariel Espinosa ◽  
Silvana Margarida Benevides Ferreira ◽  
Fabiana Gulin Longhi Palacio ◽  
Denise da Costa Boamorte Cortela ◽  
Eliane Ignotti
Keyword(s):  
Diagnostic Accuracy ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Immunosorbent Assays ◽  
Sensitivity Specificity

IgM againstMycobacterium lepraemay be detected by enzyme-linked immunosorbent assays (ELISAs) based on phenolic glycolipid I (PGL-I) or natural disaccharide octyl bovine serum albumin (ND-O-BSA) as antigens, and the IgG response can be detected by an ELISA based on lipid droplet protein 1 (LID-1). The titers of antibodies against these antigens vary with operational classification. The aim of this study was to compare the accuracy of ELISAs involving PGL-I and ND-O-BSA with that involving LID-1. We included studies that analyze multibacillary and paucibacillary leprosy cases and evaluate the diagnostic accuracy of ELISAs based on LID-1 and/or PGL-I or ND-O-BSA as antigens to measure antibody titers againstM. leprae. Studies were found via PubMed, the Virtual Health Library Regional Portal, Literatura Latino-Americana e do Caribe em Ciências da Saúde, Índice Bibliográfico Espanhol de Ciências de Saúde, the Brazilian Society of Dermatology, National Institute for Health and Clinical Excellence, Cochrane Library, Embase (the Elsevier database), and Cumulative Index to Nursing and Allied Health Literature. The Quality Assessment of Diagnostic Accuracy Studies served as a methodological validity tool. Quantitative data were extracted using the Standards for Reporting of Diagnostic Accuracy. Sensitivity, specificity, and a diagnostic odds ratio were calculated, and a hierarchical summary receiver-operating characteristic curve and forest plots were constructed. The protocol register code for this meta-analysis is PROSPERO 2017: CRD42017055983. Nineteen studies were included. ND-O-BSA showed better overall performance in terms of sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio when compared with PGL-I and LID-1. The multibacillary group showed better performance on these parameters (than the paucibacillary group did), at 94%, 99%, 129, 0.05, and 2293, respectively. LID-1 did not provide any advantage regarding the overall estimate of sensitivity in comparison with PGL-I or ND-O-BSA.

scholarly journals Diagnostic Accuracy of the Quidel Sofia Rapid Influenza Fluorescent Immunoassay in Patients with Influenza-like illness: A Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Jonghoo Lee ◽  
Jae-Uk Song
Keyword(s):  
Diagnostic Accuracy ◽  
Odds Ratio ◽  
Influenza A ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Influenza B ◽  
Cochrane Central Register ◽  
Summary Receiver Operating Characteristic ◽  
Sensitivity Specificity

Abstract Background: Although the Quidel Sofia rapid influenza fluorescent immunoassay (FIA) is widely used to identify influenza A and B, the diagnostic accuracy of this test remains unclear. We compared the diagnostic performances of this test with reverse transcriptase-polymerase chain reaction.Methods: A systematic literature search was performed using MEDLINE, EMBASE, and the Cochrane Central Register. The sensitivity, specificity, diagnostic odds ratio (DOR), and a hierarchical summary receiver-operating characteristic curve (HSROC) of this test for identifying influenza A and B were pooled using meta-analysis. A sensitivity and subgroup analysis was used to identify potential sources of heterogeneity within the selected studies.Results: We identified seventeen studies comprising 8,334 patients. The pooled sensitivity, specificity, and DOR of the Quidel Sofia rapid influenza FIA to identify influenza A were 0.78 (95% CI, 0.71–0.83), 0.99 (95% CI, 0.98–0.99), and 251.26 (95% CI, 139.39–452.89), respectively. The pooled sensitivity, specificity, and diagnostic odds ratio of this test to identify influenza B were 0.72 (95% CI, 0.60–0.82), 0.98 (95% CI, 0.96-0.99), and 140.20 (95% CI, 55.92-351.54), respectively. The area under the HSROC for this test was similar for identification of influenza A and influenza B. Age was considered a probable source of heterogeneity.Conclusions: The pooled sensitivities of the Quidel Sofia rapid influenza FIA did not quite meet the target level (≥80%) for both influenza A and B. The interpretation of data should be carefully considered due to substantial between-study heterogeneity.

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