Synovial calprotectin for the diagnosis of periprosthetic joint infection: a diagnostic meta-analysis

Abstract Background Periprosthetic joint infections (PJI) are a rare but severe complication of total joint arthroplasty (TJA). However, the diagnosis of PJI remains difficult. It is one of the research that focuses about diagnosis for PJI for majority researchers to discover a novel biomarker. This meta-analysis tried to evaluate diagnostic value of synovial calprotectin for PJI. Methods This meta-analysis search of the literature was conducted in PubMed, EMBASE, Web of Science, and the Cochrane Library. Literature quality was appraised using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) based on RevMan (version 5.3). The diagnostic value of calprotectin for PJI was evaluated by calculating sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), diagnostic score and area under SROC (AUC) based on the Stata version 14.0 software. We conduct subgroup analysis according to the study design, cutoff values, the country of study, and gold standard. Results Seven studies were included in this meta-analysis. The pooled sensitivity of synovial calprotectin for the diagnosis of PJI was 0.94 (95% CI, 0.87–0.98), and the specificity was 0.93 (95% CI, 0.87–0.96). The pooled AUC, PLR, and NLR for synovial calprotectin were 0.98 (95% CI, 0.96–0.99), 13.65 (95% CI, 6.89–27.07), and 0.06 (95% CI, 0.02–0.15), respectively. The pooled diagnostic score and DOR were 5.4 (95% CI, 3.96–6.85) and 222.32 (95% CI, 52.52–941.12), respectively. Conclusion In summary, this meta-analysis indicates that synovial calprotectin is a promising biomarker of assistant diagnosis for PJI, as well as recommended test for excluding diagnostic tool.

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Reliability of circulating fibrinogen in the diagnosis of prosthesis-related infections: a systematic review and meta-analysis

Journal of Orthopaedic Surgery and Research ◽

10.1186/s13018-020-02171-x ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Xingyang Zhu ◽

Haitao Zhang ◽

Xiaobo Sun ◽

Yijin Li ◽

Jiahao Li ◽

...

Keyword(s):

Likelihood Ratio ◽

Meta Analysis ◽

Joint Infection ◽

Area Under The Curve ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Small Sample ◽

Cochrane Library ◽

Sensitivity Specificity

Abstract Background Fibrinogen (FIB) has recently been used as a biomarker to diagnose periprosthetic joint infection (PJI), but its reliability is still questionable. The aim of this study was to investigate the accuracy of FIB in the diagnosis of PJI after joint replacement. Methods We searched for literatures published in PubMed, EMBASE, and the Cochrane Library from the time of database inception to September 2020 and screened the studies according to the inclusion criteria. Then, we calculated the diagnostic parameters of FIB, including the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), area under the curve (AUC), and diagnostic odds ratio (DOR). In addition, we implemented subgroup analyses to identify the sources of heterogeneity. Results Seven studies including 1341 patients were selected in our meta-analysis. The pooled sensitivity, specificity, PLR, NLR, and DOR of FIB for PJI diagnosis were 0.78 (95% confidence interval [CI], 0.73–0.82), 0.83 (95% CI, 0.81–0.86), 4.60 (95% CI, 3.30–6.42), 0.24 (95% CI, 0.18–0.34), and 20.13 (95% CI, 14.80–27.36), respectively, while the AUC was 0.896. Conclusion The present study indicated that FIB was a reliable detection method and might be introduced into the diagnostic criteria for PJI. However, more robust studies are still needed to confirm the current findings, because most of the included studies were retrospective and had small sample sizes.

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Pooled analysis of T2 Candida for rapid diagnosis of candidiasis

BMC Infectious Diseases ◽

10.1186/s12879-019-4419-z ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 3

Author(s):

Dong-Lan Tang ◽

Xiao Chen ◽

Chang-Guo Zhu ◽

Zhong-wei Li ◽

Yong Xia ◽

...

Keyword(s):

Likelihood Ratio ◽

Web Of Science ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Pooled Analysis ◽

Current Evidence ◽

Cochrane Library ◽

Research Subjects

Abstract Background The present meta-analysis examined the diagnostic accuracy of T2 Candida for candidiasis. Methods The literature databases, such as PubMed, Embase, DVIO, Cochrane library, Web of Science, and CNKI, were searched on T2 Candida detection. Results A total of 8 articles, comprising of 2717 research subjects, were included in the study. The pooled sensitivity and specificity were 0.91 (95% confidence interval (CI): 0.88–0.94) and 0.94 95% CI: 0.93–0.95), respectively. The pooled positive likelihood ratio and negative likelihood ratio was 10.16 (95% CI: 2.75–37.50) and 0.08 (95% CI: 0.02–0.35), respectively. The combined diagnostic odds ratio is 133.65 95% CI: 17.21–1037.73), and the AUC of SROC is 0.9702 [(SE = 0.0235), Q* = 0.9201(SE = 0.0381)]. Conclusions The current evidence supported that T2 Candida has high accuracy and sensitivity and is of major clinical significance in the diagnosis of Candida infection.

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Systematic Review and Meta-Analysis of the Utility of Circular RNAs as Biomarkers of Hepatocellular Carcinoma

Canadian Journal of Gastroenterology and Hepatology ◽

10.1155/2019/1684039 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Qingqin Hao ◽

Yadi Han ◽

Wei Xia ◽

Qinghui Wang ◽

Huizhong Qian

Keyword(s):

Likelihood Ratio ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Clinicopathological Characteristics ◽

Cochrane Library ◽

Circular Rnas ◽

Clinical Value ◽

Sensitivity Specificity

Emerging studies have reported circRNAs were dysregulated in HCC. However, the clinical value of these circRNAs remains to be clarified. Herein, we aimed to comprehensively explore their association with the diagnosis, prognosis, and clinicopathological characteristics of HCC. PubMed, EMBASE, Web of Science, and Cochrane Library databases were comprehensively searched for eligible studies up to October 30, 2018. The diagnostic effect was evaluated by the pooled sensitivity, specificity, and other indexes. The pooled hazard ratio (HR) for overall survival (OS) and recurrence free survival (RFS) was calculated to assess the prognostic value. Ten studies on diagnosis, 12 on prognosis, and 23 on clinicopathology were identified from the databases. A total of 11 upregulated and 11 downregulated circRNAs showed an association with clinicopathological features of HCC. For the diagnosis analyses, the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of circRNAs for HCC were 0.74 (95%CI: 0.65-0.82) and 0.76 (95%CI: 0.70-0.81), 3.1 (95%CI: 2.5-3.8), 0.34 (95%CI: 0.25-0.47), and 9 (95%CI: 6-14), respectively. The area under SROC curve (AUC) was 0.81 (95% CI: 0.78–0.84), indicating moderate diagnostic accuracy. In stratified analyses, the diagnostic performance of circRNAs varied based on the source of control and specimen type. For the prognosis analyses, increased expression of upregulated circRNAs was associated with worse OS (HR: 3.67, 95%: 2.07-6.48), while high expression of downregulated circRNAs was associated with better OS (HR: 0.38, 95%: 0.30-0.48). In conclusion, this study reveals that circRNAs may serve as promising diagnostic and prognostic biomarkers for HCC. However, further investigations are still required to explore the clinical value of circRNAs.

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Meta-analysis of serum and/or plasma D-dimer in the diagnosis of periprosthetic joint infection

10.21203/rs.2.21286/v1 ◽

2020 ◽

Author(s):

Cheng Li ◽

Donara Margaryan ◽

Cristina Ojeda-Thies ◽

Carsten Perka ◽

Andrej Trampuz

Keyword(s):

Likelihood Ratio ◽

Periprosthetic Joint Infection ◽

Degradation Products ◽

Meta Analysis ◽

Joint Infection ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Value ◽

Medical Subject Headings ◽

D Dimer

Abstract Background The purpose of this meta-analysis was to evaluate the diagnostic value of D-dimer in detecting periprosthetic joint infection (PJI). Methods A systematic search and screen of relevant studies was performed in the PubMed, Web of Science and Embase databases using the following medical subject headings (MeSH) or keywords: “arthroplasty or joint prosthesis or joint replacement or periprosthetic joint or prosthetic joint”, “infection or infectious or infected”, and “D-dimer or serum D-dimer or plasma D-dimer or fibrin degradation products”. Then, the data were analysed and processed by Meta-Disc software. Results A total of 7 studies with 1285 patients were included in this meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) were 0.75 (95% confidence interval [CI]: 0.70 to 0.79), 0.69 (95% CI: 0.66 to 0.72), 3.01 (95% CI: 1.84 to 4.93), 0.32 (95% CI: 0.19 to 0.53) and 10.20 (95% CI: 3.63 to 28.64), respectively. Subgroup analyses showed that use of serum D-dimer had better sensitivity and specificity than plasma D-dimer for the diagnosis of PJI (0.86, 0.84 vs. 0.67, 0.60, respectively). Conclusion Serum D-dimer had a better diagnostic value than plasma D-dimer for the diagnosis of PJI.

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Meta-analysis of serum and/or plasma D-dimer in the diagnosis of periprosthetic joint infection

10.21203/rs.2.21286/v2 ◽

2020 ◽

Author(s):

Cheng Li ◽

Donara Margaryan ◽

Cristina Ojeda-Thies ◽

Carsten Perka ◽

Andrej Trampuz

Keyword(s):

Likelihood Ratio ◽

Periprosthetic Joint Infection ◽

Degradation Products ◽

Meta Analysis ◽

Joint Infection ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Value ◽

Medical Subject Headings ◽

D Dimer

Abstract Background The purpose of this meta-analysis was to evaluate the diagnostic value of D-dimer in detecting periprosthetic joint infection (PJI). Methods A systematic search and screening of relevant studies was performed in the databases PubMed, Web of Science, and Embase using the following medical subject headings (MeSH) or keywords: “arthroplasty or joint prosthesis or joint replacement or periprosthetic joint or prosthetic joint”, “infection or infectious or infected”, and “D-dimer or serum D-dimer or plasma D-dimer or fibrin degradation products”. Data were subsequently analysed and processed using Meta-Disc. Results Seven studies with 1285 patients were included in this meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.75 (95% confidence interval [CI]: 0.70–0.79), 0.69 (95% CI: 0.66–0.72), 3.01 (95% CI: 1.84–4.93), 0.32 (95% CI: 0.19–0.53), and 10.20 (95% CI: 3.63–28.64), respectively. Subgroup analyses showed that the use of serum D-dimer had better sensitivity and specificity than plasma D-dimer for the diagnosis of PJI . Conclusion Serum D-dimer was shown to have a better diagnostic value than plasma D-dimer for the diagnosis of PJI. Further research is required for clarification.

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The Accuracy of Single MicroRNAs in Peripheral Blood to Diagnose Ovarian Cancer: An Updated Meta-Analysis

Disease Markers ◽

10.1155/2020/1075942 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Yubao Cui ◽

Shanchao Hong ◽

Xuming Zhu

Keyword(s):

Ovarian Cancer ◽

Likelihood Ratio ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

The United States ◽

Diagnostic Odds Ratio ◽

Diagnostic Value ◽

Summary Receiver Operating Characteristic ◽

Carbohydrate Antigen 125

Background. Ovarian cancer is the 5th leading cause of death of women due to cancer in the United States. Although carbohydrate antigen 125 has a moderate diagnostic utility, the phenomenon of false-positive exists. As novel effective biomarkers, some single microRNAs (miRNAs) have diagnostic values for ovarian cancer, but the results lack consistency. In order to precisely and comprehensively assess the diagnostic value of single miRNAs for ovarian cancer, a meta-analysis is performed. Methods. Articles concerning the diagnostic value of single miRNAs for ovarian cancer were searched from databases. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) with the corresponding 95% confidence interval (CI) were calculated. Area under curve (AUC) of the summary receiver-operating characteristic (SROC) curve was also calculated. Results. In total, 22 studies including 8 kinds of single miRNAs were enrolled in this paper (6 studies for miR-200c, 3 studies for miR-200a and miR-200b, and 2 studies for miR-205, miR-145, miR-141, miR-429, and miR-125b). For miR-200c, the pooled SEN and SPE were, respectively, 0.768 (95% CI: 0.722-0.811) and 0.680 (95% CI: 0.624-0.732); the pooled PLR and NLR were, respectively, 2.897 (95% CI: 1.787-4.698) and 0.340 (95% CI: 0.276-0.417); the pooled DOR was 8.917 (95% CI: 4.521-17.587); and AUC of SROC curve was 0.815. For miR-200a, the pooled SEN and SPE were, respectively, 0.759 (95% CI: 0.670-0.833) and 0.717 (95% CI: 0.627-0.795); the pooled PLR and NLR were, respectively, 3.129 (95% CI: 0.997-9.816) and 0.301 (95% CI: 0.207-0.437); the pooled DOR was 11.323 (95% CI: 3.493-36.711); and AUC of SROC curve was 0.857. For miR-200b, the pooled SEN and SPE were, respectively, 0.853 (95% CI: 0.776-0.912) and 0.775 (95% CI: 0.690-0.846); the pooled PLR and NLR were, respectively, 4.327 (95% CI: 0.683-27.415) and 0.225 (95% CI: 0.081-0.625); the pooled DOR was 19.678 (95% CI: 2.812-137.72); and AUC of SROC curve was 0.90. For miR-205, miR-145, miR-141, miR-429, and miR-125b, each diagnostic value should be interpreted cautiously because only two studies were included. Conclusions. miR-200c, miR-200a, and miR-200b can be useful diagnostic biomarkers for ovarian cancer. More related studies are needed for miR-205, miR-145, miR-141, miR-429, and miR-125b.

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Diagnostic Value of Neutrophil CD64 in Burn Patients with Infection in Chinese Population：A Systematic Review and Meta-analysis

Journal of Burn Care & Research ◽

10.1093/jbcr/irab033 ◽

2021 ◽

Author(s):

Zhao Chen ◽

Turxun Nurlan ◽

Fangyan Ning ◽

Tianjian Zha ◽

Xiaolong Liu

Keyword(s):

Early Diagnosis ◽

Likelihood Ratio ◽

Chinese Population ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Value ◽

Cochrane Library ◽

Burn Patients ◽

Neutrophil Cd64

Abstract Background Infection is one of the leading causes of death in burn patients. Many researches regard neutrophil CD64 (nCD64) as a biomarker in the early diagnosis of burn patients with infection. Nevertheless, the conclusions are controversial. Methods A comprehensive analysis of the diagnostic value of nCD64 for burn infection was performed in China using a meta-analysis method. Pubmed, Cochrane library, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), and China Wanfang databases were searched for studies on nCD64 as a diagnostic biomarker of burn patients with infection from the establishment of the databases to September 29, 2020. The data was analyzed by Stata 15.0 software. Results Six studies were identified. The results showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and DOR were 0.92 (95%CI:0.88~0.95), 0.82 (95%CI:0.76~0.87), 5.10 (95%CI:3.90~6.80), 0.10 (95%CI:0.06~0.15) and 52 (95%CI:29~94), respectively. The area under curve (AUC) was 0.94 (95%CI:0.92~0.94). According to the analysis of the sepsis subgroup, it showed that nCD64 had good diagnostic value in the patients with burn sepsis in Chinese population. Conclusion nCD64 is highly efficient to diagnose burn infection in Chinese population. Therefore, nCD64 could be regarded as a valuable biomarker for early diagnosis of burn infection in China, especially in patients with burn sepsis. Combined with other diagnostic indexes, nCD64 can be clinically used in the early diagnosis of burn infection to improve the sensitivity and specificity.

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Hepatic Subcapsular Flow as a Significant Diagnostic Marker for Biliary Atresia: A Meta-Analysis

Disease Markers ◽

10.1155/2020/5262565 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9

Author(s):

Chao Sun ◽

Bin Wu ◽

Jiang Pan ◽

Lulu Chen ◽

Wenxian Zhi ◽

...

Keyword(s):

Biliary Atresia ◽

Likelihood Ratio ◽

Meta Analysis ◽

Area Under The Curve ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Diagnostic Value ◽

Sensitivity Specificity ◽

Larger Sample

Aim. Increasing evidence indicates that hepatic subcapsular flow (HSF) can serve as a noninvasive ultrasonographic marker for the early diagnosis of biliary atresia (BA). However, results regarding its diagnostic accuracy are inconsistent and inconclusive. We conducted this meta-analysis with an aim to systematically evaluate the diagnostic value of HSF in predicting BA. Methods. A comprehensive literature search of four databases was conducted to identify the eligible studies. All analyses were performed using STATA 12.0. Results. Nine studies from eight articles containing 368 patients and 469 controls were included in our meta-analysis. Briefly, the values for pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.95 (95% CI 0.88-0.98), 0.92 (95% CI 0.85-0.96), 11.6 (95% CI 6.3-21.5), 0.06 (95% CI 0.02-0.14), 201 (95% CI 59-689), and 0.98 (95% CI 0.96-0.99), respectively. Additionally, metaregression along with subgroup analysis based on various covariates revealed the potential sources of heterogeneity and the detailed diagnostic value in each subgroup. Conclusion. Our meta-analysis showed that HSF assay could provide high accuracy in predicting BA patients and non-BA individuals. However, further studies with better design and larger sample size are required to support the results of the present study.

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Clinical value of thoracic ultrasonography in the diagnosis of pulmonary embolism: a systematic review and meta-analysis

Medical Ultrasonography ◽

10.11152/mu-3049 ◽

2021 ◽

Author(s):

Wu Chen ◽

Kun Xu ◽

Yiying Li ◽

Meifang Hao ◽

Yongsheng Yang ◽

...

Keyword(s):

Systematic Review ◽

Pulmonary Embolism ◽

Likelihood Ratio ◽

Meta Analysis ◽

Positive Likelihood Ratio ◽

Negative Likelihood Ratio ◽

Diagnostic Odds Ratio ◽

Cochrane Library ◽

Clinical Value ◽

Sensitivity Specificity

Aims: The present study investigated and evaluated the accuracy of thoracic ultrasonography (TUS) in the diagnosis of pulmonary embolism (PE) by conducting a systematic review and meta-analysis. Material and methods: The PubMed, Em-base and the Cochrane library databases were searched till March 2019 to retrieve relevant articles and the overall diagnostic accuracy of TUS in PE diagnosis was evaluated by meta-analysis. Results: Overall, 16 studies including 1,916 patients were enrolled in this meta-analysis. Of these, 762 (39.8%) had confirmed PE. The overall sensitivity, specificity, and area under the ROC curve (AUC) of TUS for PE were 82% (95% confidence interval (CI), 72%–88%), 89% (95% CI, 79%–95%), and 0.91 (95% CI, 0.88–0.93), respectively. Other efficacy parameters assessed demonstrated a positive likelihood ratio (PLR) of (7.6; 95% CI, 4.0–14.5), negative likelihood ratio of (NLR) (0.21; 95% CI, 0.14–0.30), and diagnostic odds’ ratio (DOR) of (36.86; 95% CI, 21.41–63.48). Conclusions: The current study suggested that although TUS cannot safely rule out PE, it is likely to be used as an aid or guidance to establish procedures and help to improve the diagnostic deficits in patients with PE.

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

10.21203/rs.3.rs-554834/v1 ◽

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.

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