scholarly journals Meta-Analytical Accuracy of ANCA Renal Risk Score for Prediction of Renal Outcome in Patients With ANCA-Associated Glomerulonephritis

2022 ◽  
Vol 8 ◽  
Author(s):  
Mengdi Xia ◽  
Ruiran Yu ◽  
Zaiqiong Zheng ◽  
Huan Li ◽  
Jie Feng ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Risk Score ◽  
Subgroup Analysis ◽  
Large Scale ◽  
Meta Analysis ◽  
Negative Likelihood Ratio ◽  
Renal Outcome ◽  
Cochrane Library ◽  
Meta Regression

Background: To evaluate the diagnostic accuracy of antineutrophil cytoplasmic antibody (ANCA) renal risk score (ARRS) for prediction of renal outcome in patients with ANCA-associated glomerulonephritis (ANCA-GN).Methods: We searched PubMed, EMBASE, Ovid, Web of Science, the Cochrane Library, and ClinicalTrials.gov for studies, which used ARRS to predict end-stage renal disease (ESRD) in patients with ANCA-GN. Two reviewers independently screened articles for inclusion, assessed the quality of studies with both an adapted Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. We calculated the combined patients with ESRD in the ARRS categories and presented the summary and individual estimates based on the ARRS categories. Then, the sensitivity, specificity, diagnostic odds ratio (DOR), positive/negative likelihood ratio, and the area under the receiver operating characteristic (AUROC) curves of the pooled data for ARRS were used to assess the accuracy of the “above the low-risk threshold” (ARRS ≥ 2) and “high-risk grade” (ARRS ≥ 8) for renal outcome of patients with ANCA-GN. The hierarchical summary ROC (HSROC) was used to verify the accuracy value. The clinical utility of ARRS was evaluated by the Fagan plot. Heterogeneity was explored using meta-regression and subgroup analysis.Results: A total of 12 distinct cohorts from 11 articles involving 1,568 patients with ANCA-GN were analyzed. The cumulative patients with ESRD at the maximum follow-up of 60 months was 5% (95% CI: 0.02–0.07; p < 0.001) for ANCA-GN with low ARRS (0–1 points) and significantly increased to 22% (95% CI: 0.15–0.29; p < 0.001) medium ARRS (2–7 points). The combined cumulative patients with ESRD was 59% (95% CI: 0.49–0.69; p < 0.001) high ARRS (8–11 points). The pooled sensitivity of ARRS ≥ 2 in predicting ESRD was 98% with a specificity of 30% and a DOR of 15.08 and the mean AUROC value was 0.82. The pooled sensitivity of ARRS ≥ 8 in predicting ESRD was 58% with a specificity of 86% and a DOR of 7.59. The meta-regression and subgroup analysis indicated that variation in the geographic regions, study design, index risk, follow-up time, age of patient, publication year, and number of patient could be the potential sources of heterogeneity in the diagnosis of ARRS ≥ 8.Conclusion: This meta-analysis emphasized the good performance of the ARRS score in predicting the renal outcome in patients with ANCA-GN. However, these findings should be verified by future large-scale prospective studies.

scholarly journals Potential Diagnostic Value of Circulating miRNA for Multiple Myeloma: A Meta-Analysis.

2020 ◽  
Author(s):  
Wen-Ting Zhang ◽  
Shuai-Shuai Gao ◽  
Yan-Jun Wang ◽  
Guo-Xun Zhang
Keyword(s):  
Multiple Myeloma ◽  
Early Diagnosis ◽  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Cochrane Library ◽  
Circulating Mirna

Abstract Multiple myeloma (MM) is the second incurable hematological malignancy. In recent years, due to the rise of microRNA (miRNA), many scholars have participated in the study of its value in the diagnosis of MM, and have obtained good but inconsistent results. Therefore, in order to determine the role of miRNA in the early diagnosis of MM, we searched for related studies including PubMed, Web of Science, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI) and Wanfang Database as of July 20, 2020 to conduct this meta-analysis. To improve the accuracy, the quality assessment of Diagnostic Accuracy Study 2 (QUADAS-2) was used. We also applied random effects models to summarize sensitivity and specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve (AUC) to measure diagnostic values, and subgroup analysis used to discover potential sources of heterogeneity. Finally, we collected 32 studies from 15 articles that included a total of 2053 MM patients and 1118 healthy controls. The overall sensitivity, specificity, PLR, NLR, DOR and AUC were 0.81, 0.85, 5.5, 0.22, 25 and 0.90, respectively. Subgroup analysis shows that the down-regulation of microRNA clusters with larger samples size of plasma type could carry out a better diagnostic accuracy of MM patients. In addition, publication bias was not found. In conclusion, circulating miRNA could be a potential non-invasive biomarker for early diagnosis of MM. However, multi-center, more rigorous, and larger-scale studies are needed to verify our conclusions.

scholarly journals Diagnostic Accuracy of the ADNEX Model for Ovarian Cancer at the 15% Cut-Off Value: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaotong Huang ◽  
Ziwei Wang ◽  
Meiqin Zhang ◽  
Hong Luo
Keyword(s):  
Ovarian Cancer ◽  
Diagnostic Accuracy ◽  
Publication Bias ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Cochrane Library ◽  
Meta Regression

ObjectivesTo evaluate the diagnostic accuracy of the ADNEX model for ovarian cancer at the 15% cut-off value.MethodsStudies on the identified diagnosis of the ADNEX model for ovarian cancer published in PubMed, Embase, the Cochrane Library and Web of Science databases from January 1st, 2014 to February 20th, 2021 were searched. Two researchers independently screened the retrieved studies and extracted the basic features and parameter data. The quality of the eligible studies was evaluated by Quality Assessment of Diagnostic Accuracy Studies-2, and the result was summarized by Review Manager 5.3. Meta-Disc 1.4 and STATA 16.0 were used in statistical analysis. Heterogeneity of this meta-analysis was calculated. Meta-regression was performed to investigate the potential sources of heterogeneity. Sensitivity analysis and Deek’s funnel plot analysis were conducted to evaluate the stability and publication bias, respectively.Results280 studies were initially retrieved through the search strategy, and 10 eligible studies were ultimately included. The random-effects model was selected for data synthesis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and the area under the summary receiver operating characteristic curve were 0.92 (95% CI: 0.89–0.94), 0.82 (95% CI: 0.78–0.86), 5.2 (95% CI: 4.1–6.4), 0.10 (95% CI: 0.07–0.13), 54.0 (95% CI: 37.0–77.0) and 0.95 (95% CI: 0.91–0.95). Meta-regression based on study design, country, enrollment and blind method was not statistically significant. This meta-analysis was stable with no obvious publication bias.ConclusionsThe ADNEX model at the 15% cut-off had high diagnostic accuracy in identifying ovarian cancer.

scholarly journals The Potential Diagnostic Accuracy of Let-7 Family for Cancer: A Meta-Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110330
Author(s):  
Wen-Ting Zhang ◽  
Guo-Xun Zhang ◽  
Shuai-Shuai Gao
Keyword(s):  
Diagnostic Accuracy ◽  
Publication Bias ◽  
Likelihood Ratio ◽  
Cancer Diagnosis ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Public Health Problem ◽  
Cochrane Library

Background: Cancer is a global public health problem affecting human health. Early stage of cancer diagnosis, when it is not too large and has not spread is important for successful treatment. Many researchers have proposed that the let-7 microRNA family can be used as a biomarker for cancer diagnosis. The aim of this meta-analysis is to evaluate whether let-7 family can be used as a diagnostic tool for cancer patients. Methods: We conducted a comprehensive literature search on PubMed, EMBASE, Web of Science, Cochrane Library, Google Scholar, China National Knowledge Infrastructure (CNKI) and Wanfang database, updated to October 23, 2020. A random effects model was used to pool the sensitivity and specificity. Besides, we measured the diagnostic value using positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve (AUC) were pooled. In addition, meta-regression and subgroup analysis were performed to explore the possible sources of heterogeneity, and Deeks’ funnel chart was used to assess whether there was publication bias. Results: 31 studies from 15 articles were included in the current meta-analysis. The overall sensitivity, specificity, PLR, NLR, DOR and AUC were 0.80 (95% CI: 0.75-0.85), 0.81 (95% CI: 0.74-0.86), 4.2 (95% CI: 2.9-5.9), 0.24 (95% CI: 0.19-0.32), 17 (95% CI: 10-29) and 0.87 (95% CI: 0.84-0.90), respectively. Subgroup analysis shows that the let-7 family cluster of serum type showed a better diagnostic accuracy of cancer, especially the breast cancer. Although there is no publication bias, it still has some limitations. Conclusions: let-7 family can be considered as a promising non-invasive diagnostic biomarker for cancer.

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 Daily sodium consumption and CVD mortality in the general population: systematic review and meta-analysis of prospective studies

2014 ◽  
Vol 18 (4) ◽  
pp. 695-704 ◽  
Author(s):  
Rosana Poggio ◽  
Laura Gutierrez ◽  
María G Matta ◽  
Natalia Elorriaga ◽  
Vilma Irazola ◽  
...  
Keyword(s):  
Systematic Review ◽  
Relative Risk ◽  
General Population ◽  
Prospective Studies ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Random Effects Models ◽  
Meta Regression ◽  
Cvd Mortality

AbstractObjectiveThe purpose of the present study was to determine whether elevated dietary Na intake could be associated with CVD mortality.DesignWe performed a systematic review and meta-analysis of prospective studies representing the general population. The adjusted relative risks and their 95 % confidence intervals were pooled by the inverse variance method using random-effects models. Heterogeneity, publication bias, subgroup and meta-regression analyses were performed.SettingsMEDLINE (since 1973), Embase (since 1975), the Cochrane Library (since 1976), ISI Web of Science, Google Scholar (until September 2013) and secondary referencing were searched for inclusion in the study.SubjectEleven prospective studies with 229 785 participants and average follow-up period of 13·37 years (range 5·5–19 years).ResultsHigher Na intake was significantly associated with higher CVD mortality (relative risk=1·12; 95 % CI 1·06, 1·19). In the sensitivity analysis, the exclusion of studies with important relative weights did not significantly affect the results (relative risk=1·08; 95 % CI 1·01, 1·15). The meta-regression analysis showed that for every increase of 10 mmol/d in Na intake, CVD mortality increased significantly by 1 % (P=0·016). Age, hypertensive status and length of follow-up were also associated with increased CVD mortality.ConclusionsHigher Na intake was associated with higher CVD mortality in the general population; this result suggests a reduction in Na intake to prevent CVD mortality from any cause.

scholarly journals Double bundle ACL reconstruction leads to better restoration of knee laxity and subjective outcomes than single bundle ACL reconstruction

2021 ◽  
Author(s):  
Arttu Seppänen ◽  
Piia Suomalainen ◽  
Heini Huhtala ◽  
Heikki Mäenpää ◽  
Tommi Kiekara ◽  
...  
Keyword(s):  
Acl Reconstruction ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Knee Laxity ◽  
Double Bundle ◽  
Cochrane Library ◽  
Single Bundle ◽  
Subgroup Analyses ◽  
Subjective Outcomes

Abstract Purpose The purpose of this meta-analysis is to compare arthroscopic single bundle (SB) and double bundle (DB) anterior cruciate ligament (ACL) reconstructions in the light of all available randomised controlled trials (RCTs). A meta-analysis of this well-researched topic was performed and subgroup analyses of the medial portal (MP) technique and the transtibial technique (TT) were added as a new idea. The hypothesis was that the DB technique is superior to the SB technique also in subgroup analyses of the MP and TT techniques. Methods Instructions of the PRISMA checklist were followed. Systematic literature search from electronic databases, including PubMed, Cochrane library and Scopus was performed to find RCTs that compared the SB and DB techniques. Nine outcomes were used to compare these two techniques. Each study was assessed according to the Cochrane Collaboration’s risk of bias tool and three subgroup analyses (minimum 2-years’ follow-up, TT technique and MP technique) were performed. Results A total of 40 studies were included in this meta-analysis. When analysing all the included studies, the DB technique was superior to the SB technique in KT-1000/2000 evaluation (p < 0.01), IKDC subjective evaluation (p < 0.05), Lysholm scores (p = 0.02), pivot shift (p < 0.01) and IKDC objective evaluation (p = 0.02). Similar results were also found in the subgroup analyses of minimum 2-years’ follow-up and the TT technique. However, there were no differences between the two techniques in a subgroup analysis of the MP technique. Conclusion Generally, DB ACL reconstruction leads to better restoration of knee laxity and subjective outcomes than SB ACL reconstruction. The subgroup analysis of the MP technique revealed that surgeons can achieve equally as good results with both techniques when femoral tunnels are drilled through the medial portal. Level of evidence II.

scholarly journals Is oral lichen planus a risk factor for peri-implant diseases? A systematic review and meta-analysis

2020 ◽  
Author(s):  
Xiaoqin Xiong ◽  
Tiantian Xu ◽  
Xinhong Wang ◽  
Wenguang Qin ◽  
Ting Yu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Factor ◽  
Lichen Planus ◽  
Oral Lichen Planus ◽  
Large Scale ◽  
Meta Analysis ◽  
Healthcare Research ◽  
Cochrane Library ◽  
Oral Lichen

Abstract Background : To evaluate whether oral lichen planus (OLP) is a risk factor for peri-implant diseases (PIDs) with a systematic review and meta-analysis. Methods : Five electronic databases including Medline, Embase, Web of Science, the Cochrane Library and Scopus were searched. The included studies are observational human studies written in English. The population of interest included those with/without OLP who received dental implant treatment. The follow-up time after implantation was from one month to 20 years. The quality of the included articles regarding risk of bias and methodology were assessed with the Newcastle-Ottawa Scale or the Agency for Healthcare Research and Quality. The data involving exposure (OLP), primary outcomes (implants having PIDs) and secondary outcomes (probing depth/PD, bleeding on probing/BOP and bone loss/BL) and potential confounders were extracted. Heterogeneity was assessed by I² test. Dichotomous data are expressed as the risk ratio (RR) and 95% confidence interval (CI) which were calculated with a fixed effect model. Results : Of the 66 articles, two studies were enrolled and evaluated as high quality, which totally contained 68 participants receiving 222 (OLP vs. non-OLP, 112 vs. 110) implants with 12 to 120-month follow-up time. Proportions of implants with PIDs between OLP and non-OLP groups were as follows: 19.6% (22/112) vs. 22.7% (25/110) for PIM and 17.0% (19/112) vs. 10.9% (12/110) for PI. The meta-analysis revealed no recognizable difference in number of implants with PIDs (PI: RR = 1.49, 95% CI 0.77-2.90, P = 0.24; PIM:RR = 0.88, 95% CI 0.53 -1.46, P = 0.61; PIDs: RR = 1.08, 95% CI 0.75 -1.55, P = 0.68) or BOP (RR = 0.90, 95% CI: 0.70-1.15, P = 0.40) between OLP and non-OLP groups. Conclusions : Available articles regarding the effects of OLP on PIDs remains very limited. Existing evidence does not support OLP as a suspected risk factor for PIDs. Large-scale prospective trials are required to validate the findings.

scholarly journals Systematic Review and Meta-Analysis of 12 Randomized Controlled Trials Evaluating the Efficacy of Invasive Radiofrequency Treatment for Knee Pain and Function

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Tao Hong ◽  
Haiyuan Wang ◽  
Guangxiao Li ◽  
Peng Yao ◽  
Yuanyuan Ding
Keyword(s):  
Radiofrequency Ablation ◽  
Knee Pain ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Knee Function ◽  
Cochrane Library ◽  
Control Groups ◽  
Pain Scores ◽  
Meta Regression ◽  
And Control

Radiofrequency (RF) treatment is an invasive and promising procedure in the treatment of osteoarthritis (OA). A meta-analysis based on 12 RCT studies was to investigate whether invasive RF treatment is more effective in relieving knee pain and improving knee function. Relevant studies were searched on database of Pubmed, Embase, EBSCO, Cochrane library, Wanfang digital database, VIP database, and CNKI up to January 2018. A total of 841 participants from 12 publications were included. The weighted mean difference (WMD) and the corresponding 95% CIs were used to evaluate the difference in pain scores and OKS/WOMAC scores between RF treatment and control groups. The statistical analysis was performed by Stata 12.0. The pain scores (VAS) in the RF group were lower than those in the conservative treatment group after 1 week (WMD -1.77, 95% CI -2.93 to -0.61, P<0.01), 1 month (WMD -1.40, 95% CI -1.98 to -0.82, P<0.01), and 3 months (WMD -1.32, 95% CI -2.27 to -0.37, P<0.01) of treatment, while there was no significant improvement in knee function. In subgroup analyses by site of radiofrequency, RF mode showed some discrepancies in the WMD of VAS between the treatment and control groups. In addition, subgroup analysis and meta-regression showed that the efficacy of RF treatment for reducing pain is reversely related to female ratio, and we did not find any surgery-related adverse reactions. RF treatment significantly reduces the knee pain, but rarely improves the knee joint function. Radiofrequency ablation has better efficacy than pulsed radiofrequency ablation in reducing pain. Furthermore, subgroup analysis and meta-regression suggested that women are more sensitive to RF treatment than men.

scholarly journals Blood-Based Circulating MicroRNAs are Potential Diagnostic Biomarkers for Leukemia: Result from a Meta-Analysis

2016 ◽  
Vol 38 (3) ◽  
pp. 939-949 ◽  
Author(s):  
Li-hua Xu ◽  
Yang Guo ◽  
Xue-Li Zhang ◽  
Jia-jia Chen ◽  
Shao-yan Hu
Keyword(s):  
Diagnostic Accuracy ◽  
Likelihood Ratio ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Sensitivity Analyses ◽  
Cochrane Library ◽  
Circulating Mirnas ◽  
Diagnostic Biomarkers ◽  
Circulating Micrornas

Aims: Circulating microRNAs (miRNAs) as biomarkers for leukemia have been validated by emerging studies. This meta-analysis aims to estimate the overall diagnostic accuracy of blood-based circulating miRNAs for leukemia. Methods: We searched multiple databases (PubMed, EMBASE, Cochrane Library, CNKI, Wan Fang Data and CQVIP) up to June 18, 2015. Results: 32 studies from 10 publications were included in this meta-analysis. Diagnostic capacity was evaluated by pooled sensitivity, specifIcity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) through random-effects model. Sensitivity analyses were sequentially performed to find potential sources of heterogeneity. The quality of included studies was assessed by QUADAS (quality assessment for studies of diagnostic accuracy). Meta-Disc 1.4 and Stata 12.0 software were used to perform the meta-analysis. A high diagnostic accuracy was displayed, with a sensitivity of 0.84, a specificity of 0.88, a PLR of 7.20, a NLR of 0.18, a DOR of 52, and an AUC of 0.94. Subgroup analyses revealed better performance for combined miRNAs, acute myeloid leukemia patients and Asian population than other subgroups. Conclusion: Our analyses suggested that blood-based circulating miRNAs are promising diagnostic biomarkers for leukemia, especially combined miRNAs. Its clinical application awaits further study.

scholarly journals Pentraxin 3 as a promising biomarker for cancer detection: a systematic review and meta-analysis

2019 ◽  
Author(s):  
Qindong Liang ◽  
Guangjie Zhang ◽  
Huaan Huang ◽  
Nai Xing ◽  
Shangchun Sheng ◽  
...  
Keyword(s):  
Systematic Review ◽  
Likelihood Ratio ◽  
Cancer Detection ◽  
Large Scale ◽  
Meta Analysis ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Cochrane Library ◽  
Pentraxin 3 ◽  
Potential Biomarker

Abstract Background Mounting studies reported that circulating pentraxin 3 (PTX3) expression level was significantly different between cancer patients and healthy groups, suggesting that PTX3 may be a potential biomarker for cancer detection. However, the results were inconsistent. In this paper, a systematic review and meta-analysis was performed to quantitatively assess the diagnostic value of PTX3 in cancer detection.Methods A comprehensive computerized literature search was conducted in Embase, PubMed, Cochrane Library, Web of Science, Chinese National Knowledge Infrastructure (CNKI) from inception to July 31, 2019. Eligible studies were identified and raw data were extracted. Diagnostic estimates were synthesized using STATA (version 12.0) and MetaDisc (version 1.4) statistical software.Results Overall, 9 studies from 8 citations with a total of 1408 cancer patiens and 3116 controls were included in this meta-analysis. The global sensitivity was 0.70 (95% confidence interval (CI): 0.67 – 0.72), and the specificity was 0.77 (95% CI: 0.75 – 0.78). The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and the diagnostic odds ratio (DOR) were 2.86 (95% CI: 2.29 – 3.56), 0.40 (95% CI: 0.32 – 0.50) and 7.38 (95% CI: 5.05 – 10.78), respectively. The merged AUC was 0.80 (95% CI: 0.76 – 0.83).Conclusion The serum PTX3 appears to be a reliable biomarker for cancer detection though large-scale multicenter studies are needed.

Sign in / Sign up

Export Citation Format

Share Document