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.

scholarly journals Accuracy of angiopoietin-2 for predicting organ failure in patients with acute pancreatitis: a systematic review and meta-analysis

2021 ◽  
Vol 49 (2) ◽  
pp. 030006052098670
Author(s):  
Yongcai Lv ◽  
Yanhua Yao ◽  
Qi Liu ◽  
Jingjing Lei
Keyword(s):  
Acute Pancreatitis ◽  
Organ Failure ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Angiopoietin 2

Objective Our aim was to assess the accuracy of angiopoietin-2 (Ang-2) as a prognostic marker for acute pancreatitis (AP) with organ failure (OF). Methods We undertook a systematic search of the PubMed, Cochrane Library, Embase, Chinese Journals Full-text, Wanfang, China Biology Medicine disc, and Weipu databases to identify eligible cohort studies on the predictive value of Ang-2 for AP with OF. The main outcome measures were sensitivity and specificity. The effects were pooled using a bivariate mixed-effects model. Results Six articles with seven case-control studies (n = 650) were included. Pooled sensitivity, specificity, and positive and negative likelihood ratios with 95% confidence intervals (CI) for AP with OF were 0.93 (95%CI: 0.75–0.99), 0.85 (95%CI: 0.75–0.92), 6.40 (95%CI: 3.36–12.19), and 0.08 (95%CI: 0.02–0.36), respectively. The area under the summary receiver operating characteristic curve was 0.95 (95%CI: 0.92–0.96), and the diagnostic odds ratio was 83.18 (95%CI: 11.50–623.17). Subgroup analysis showed that admission time of AP onset (< or ≥24 hours) was a source of overall heterogeneity. Sensitivity analysis supported this finding. Conclusion Ang-2 had high diagnostic accuracy for AP with OF; the best prediction of Ang-2 may be 24 to 72 hours after onset of AP.

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 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 Evaluation of the FilmArray Meningitis/Encephalitis Panel for Diagnosis of Infectious Meningitis and Encephalitis

2021 ◽  
Author(s):  
Min Lin ◽  
Chun-Lu Chen ◽  
Le-Yao Qi ◽  
Cong Shen ◽  
Ye-Ling Liu ◽  
...  
Keyword(s):  
Full Text ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Cochrane Library ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Evaluation Standard ◽  
Sensitivity Specificity

Abstract Background: Infectious Meningitis/Encephalitis (M/E) is caused by pathogens. The FilmArray M/E panel can quickly detect 14 kinds of pathogens and facilitate diagnosis for patients with M/E. This study aimed to perform a evaluation of the sensitivity and specificity of the FilmArray M/E panel compared with classic method of diagnosing M/E.Methods: Relevant studies published before August 15, 2021, were identified by searching Web of Science, PubMed, Cochrane Library, and Embase, using keywords Meningitis, Encephalitis, and FilmArray M/E panel. After the initial screening, EndNoteX9 was used to manage the studies and extract data. The quality of the study was based mainly on the quality evaluation standard of diagnostic tests recommended by Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Meta-DiSc 1.4 statistical software was used to determine the sensitivity, specificity, 95% confidence interval (CI), diagnostic odds ratio (DOR), positive likelihood ratios (PLR) and negative likelihood ratios (NLR) of each group of data, and summary receiver operating characteristic curve (SROC). All P values were two sided, and P <0.05 was considered statistically significant.Results: A total of 269 studies were retrieved, and 16 full-text studies were identified. The sensitivity of all the full-text studies was 0.93 (95% CI: 0.91–0.95) and the specificity 0.98 (95% CI: 0.98–0.98). Conclusions: Compared with the gold standard, the FilmArray M/E panel had a sensitivity of 0.93 and a specificity of 0.98 to 16 pathogens. Further studies are needed to determine whether the FilmArray M/E panel can be used as a clinical standard for the diagnosis of M/E.

scholarly journals Diagnostic accuracy of synovial fluid D-lactate for periprosthetic joint infection: a systematic review and meta-analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Zhizhuo Li ◽  
Chengxin Li ◽  
Guangxue Wang ◽  
Lijun Shi ◽  
Tengqi Li ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Diagnostic Accuracy ◽  
Sensitivity And Specificity ◽  
Periprosthetic Joint Infection ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Joint Infection ◽  
Diagnostic Odds Ratio ◽  
Likelihood Ratios

Abstract Background Periprosthetic joint infection is a grievous complication after arthroplasty that greatly affects the quality of life of patients. Rapid establishment of infection diagnosis is essential, but great challenges still exist. Methods We conducted research in the PubMed, Embase, and Cochrane databases to evaluate the diagnostic accuracy of D-lactate for PJI. Data extraction and quality assessment were completed independently by two reviewers. The pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), summarized receiver operating characteristic curve (sROC), and area under the sROC curve (AUC) were constructed using the bivariate meta-analysis framework. Results Five eligible studies were included in the quantitative analysis. The pooled sensitivity and specificity of D-lactate for the diagnosis of PJI were 0.82 (95% CI 0.70–0.89) and 0.76 (95% CI 0.69–0.82), respectively. The value of the pooled diagnostic odds ratio (DOR) of D-lactate for PJI was 14.18 (95% CI 6.17–32.58), and the area under the curve (AUC) was 0.84 (95% CI 0.80–0.87). Conclusions According to the results of our meta-analysis, D-lactate is a valuable synovial fluid marker for recognizing PJI, with high sensitivity and specificity.

scholarly journals Blood Procalcitonin Level as A Diagnostic Marker of Pediatric Bacterial Meningitis: A Systematic Review and Meta-Analysis

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 846
Author(s):  
Heeyeon Kim ◽  
Yun-Ho Roh ◽  
Seo-Hee Yoon
Keyword(s):  
Bacterial Meningitis ◽  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Mortality And Morbidity ◽  
Meningitis In Children ◽  
Sensitivity Specificity

Early diagnosis and treatment of bacterial meningitis in children are essential, due to the high mortality and morbidity rates. However, lumbar puncture is often difficult, and cerebrospinal fluid (CSF) culture takes time. This meta-analysis aims to determine the diagnostic accuracy of blood procalcitonin for detecting bacterial meningitis in children. We conducted a systematic search on electronic databases to identify relevant studies. Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated, and a hierarchical summary receiver operating characteristic curve and area under the curve (AUC) were determined. Eighteen studies with 1462 children were included in the analysis. The pooled sensitivity, specificity, and the DOR of blood procalcitonin for detecting bacterial meningitis were 0.87 (95% confidence interval (CI): 0.78–0.93); 0.85 (95% CI: 0.75–0.91), and 35.85 (95% CI: 10.68–120.28), respectively. The AUC for blood procalcitonin was 0.921. Blood procalcitonin also showed higher diagnostic accuracy for detecting bacterial meningitis than other conventional biomarkers, including serum C-reactive protein and leukocyte count, CSF leukocyte and neutrophil count, and CSF protein and glucose levels. Blood procalcitonin can be a good supplemental biomarker with high diagnostic accuracy in detecting bacterial meningitis in children.

The role of serum periostin in the diagnosis of asthma: A meta-analysis

2020 ◽  
Vol 41 (4) ◽  
pp. 240-247
Author(s):  
Lei Yang ◽  
Qingtao Zhao ◽  
Shuyu Wang
Keyword(s):  
Diagnostic Accuracy ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
False Negative ◽  
Summary Receiver Operating Characteristic ◽  
True Negative ◽  
Negative Results ◽  
Noninvasive Biomarker ◽  
Sensitivity Specificity ◽  
Serum Periostin

Background: Serum periostin has been proposed as a noninvasive biomarker for asthma diagnosis and management. However, its accuracy for the diagnosis of asthma in different populations is not completely clear. Methods: This meta-analysis aimed to evaluate the diagnostic accuracy of periostin level in the clinical determination of asthma. Several medical literature data bases were searched for relevant studies through December 1, 2019. The numbers of patients with true-positive, false-positive, false-negative, and true-negative results for the periostin level were extracted from each individual study. We assessed the risk of bias by using Quality Assessment of Diagnostic Accuracy Studies 2. We used the meta-analysis to produce summary estimates of accuracy. Results: In total, nine studies with 1757 subjects met the inclusion criteria. The pooled estimates of sensitivity, specificity, and diagnostic odds ratios for the detection of asthma were 0.58 (95% confidence interval [CI], 0.38‐0.76), 0.86 (95% CI, 0.74‐0.93), and 8.28 (95% CI, 3.67‐18.68), respectively. The area under the summary receiver operating characteristic curve was 0.82 (95% CI, 0.79‐0.85). And significant publication bias was found in this meta‐analysis (p = 0.39). Conclusion: Serum periostin may be used for the diagnosis of asthma, with moderate diagnostic accuracy.

DIAGNOSTIC VALUE OF ANTI-MÜLLERIAN HORMONE AS A BIOMARKER FOR POLYCYSTIC OVARY SYNDROME: A META-ANALYSIS UPDATE

2019 ◽  
Vol 25 (10) ◽  
pp. 1056-1066 ◽  
Author(s):  
Yang Zhao ◽  
Yinlong Zhao ◽  
Chunpeng Wang ◽  
Zhenzhen Liang ◽  
Xin Liu
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Diagnostic Odds Ratio ◽  
Summary Receiver Operating Characteristic ◽  
Ovary Syndrome ◽  
Diagnostic Efficacy ◽  
Sensitivity Specificity ◽  
Rotterdam Criteria

Objective: A previous meta-analysis carried out on the predictive ability of anti-Müllerian hormone (AMH) for polycystic ovary syndrome (PCOS) showed that independent AMH may be a useful initial diagnostic test for PCOS. The aims of this study were to update the meta-analysis and to evaluate the diagnostic efficacy of AMH when it replaces polycystic ovary morphology (PCOM) in the Rotterdam criteria. Methods: Two independent reviewers searched PubMed, Cochrane Library, and the Web of Science databases systematically to identify relevant articles by using the key words “anti-Müllerian hormone” and “polycystic ovary syndrome.” The deadline for manuscript inclusion was July 31, 2018. A random effects model was used and subgroup analysis and meta regression were performed to identify possible sources of heterogeneity. The methodologic quality of each study was assessed by QUADAS-2 and funnel plot asymmetry test. Results: According to the inclusion criteria, 29 studies were included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) for AMH alone detecting PCOS were 0.76 (95% confidence interval [CI] 0.71 to 0.81), 0.86 (95% CI 0.82 to 0.90) and 20 (95% CI 12 to 33), respectively. When AMH replaces polycystic ovary morphology (PCOM) for the diagnosis of PCOS, the pooled sensitivity, specificity, and DOR rose to 0.93 (95% CI 0.89 to 0.96), 0.99 (95% CI 0.95 to 1.00), and 1,634 (95% CI 217 to 12,324), respectively. The area under the summary receiver-operating characteristic curve for AMH alone and for AMH replacing PCOM detecting PCOS were 0.88 (95% CI 0.85 to 0.91) and 0.97 (95% CI 0.95 to 0.98), respectively, which was found to be significantly different ( Z = 4.89, P<.01). Conclusion: When AMH replaces PCOM in the Rotterdam criteria, the diagnostic efficacy for polycystic ovary syndrome is better. Abbreviations: AMH = anti-Müllerian hormone; AUC = area under the summary receiver operating characteristic curve; BMI = body mass index; CI = confidence interval; DOR = diagnostic odds ratio; HA = hyperandrogenism; IBC = Immunotech-Beckman Coulter; NLR = negative likelihood ratio; OA = oligo-anovulation; PCOM = polycystic ovary morphology; PCOS = polycystic ovary syndrome; PLR = positive likelihood ratio; QUADAS = the Quality Assessment of Diagnostic Accuracy Studies; SENS = sensitivity; SPEC = specificity

Sensitivity and Specificity of Dickkopf-1 Protein in Serum for Diagnosing Hepatocellular Carcinoma: A Meta-Analysis

2014 ◽  
Vol 29 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Jie Zhang ◽  
Ying Zhao ◽  
Qin Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Accuracy ◽  
Test Performance ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Likelihood Ratios ◽  
Summary Receiver Operating Characteristic ◽  
Knowledge Infrastructure ◽  
Combined Test ◽  
Dickkopf 1

Objective This meta-analysis evaluated the diagnostic accuracy of positive serum Dickkopf-1 (DKK1) for diagnosing hepatocellular carcinoma (HCC). Material and methods Articles listed on Embase, PubMed, Wanfang, Weipu Periodical Database or the Chinese National Knowledge Infrastructure (CNKI) and published up to July 10, 2013, were searched in either English or Chinese. The pooled sensitivity (SEN), specificity (SPE), positive and negative likelihood ratios (PLR and NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristic (sROC) curve were calculated to summarize the overall test performance. Results Four articles (6 studies) provided DKK1 diagnostic data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of DKK1 for the diagnosis of HCC were 0.65 (95% confidence interval [95% CI], 0.52-0.76), 0.94 (95% CI, 0.82-0.98), 10.1 (95% CI, 3.68-27.74), 0.38 (95% CI, 0.28-0.51), 26.90 (95% CI, 10.45-69.19) and 0.84 (95% CI, 0.81-0.87), respectively. Three articles (5 studies) provided DKK1 and α-fetoprotein (AFP) combined test data. The pooled SEN, SPE, PLR, NLR, DOR and area under the sROC curve of combined detection for the diagnosis of HCC were 0.81 (95% CI, 0.76-0.85), 0.85 (95% CI, 0.78-0.91), 5.52 (95% CI, 3.76-8.10), 0.22 (95% CI, 0.19-0.27), 24.60 (95% CI, 17.69-34.19) and 0.88 (95% CI, 0.85-0.91), respectively. Conclusion Both DKK1 and DKK1 plus AFP had high diagnostic accuracy for diagnosis of HCC.

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