scholarly journals Association of the p53 or GSTM1 polymorphism with the risk of nasopharyngeal carcinoma: A meta-analysis

2015 ◽  
Vol 4 (2) ◽  
pp. 221-228
Author(s):  
MUYUN WU ◽  
SHUJING HUANG ◽  
DONG LIU ◽  
MIAO PENG ◽  
FAN YANG ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Meta Analysis ◽  
Gstm1 Polymorphism

scholarly journals The diagnostic value of EBV-DNA and EBV-related antibodies detection for nasopharyngeal carcinoma: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weixing Liu ◽  
Gui Chen ◽  
Xin Gong ◽  
Yingqi Wang ◽  
Yaoming Zheng ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Test Performance ◽  
Meta Analysis ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Control Group ◽  
Summary Receiver Operating Characteristic ◽  
Ebv Dna ◽  
The Difference ◽  
Sensitivity Specificity

Abstract Background Numerous individual studies have investigated the diagnostic value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection for nasopharyngeal carcinoma (NPC), but the conclusions remain controversial. This meta-analysis aimed to determine the value of EBV-DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection in the diagnosis of NPC. Methods PROSPERO registration number: CRD42019145532. PubMed, EMBASE, Cochrane Library, and Chinese data libraries (Wanfang, CNKI, and CBM) were searched up to January 2019. The pooled sensitivity, specificity, and positive likelihood, negative likelihood, and diagnostic odds ratios were conducted in this meta-analysis. Summary receiver operating characteristic curves evaluated the test-performance global summary. Publication bias was examined by Deek’s funnel plot asymmetry test. Results Forty-seven studies with 8382 NPC patients (NPC group) and 15,089 individuals without NPC (Control group) were included in this meta-analysis. The sensitivity, specificity, positive likelihood (+ LR), negative likelihood (-LR), DOR and AUC of EBV-DNA in diagnosis of NPC were: 0.76 (95% CI 0.73–0.77), 0.96 (95% CI 0.95–0.97), 14.66 (95% CI 9.97–21.55), 0.19 (95% CI 0.13–0.28), 84 (95% CI 50.45–139.88), 0.96 (SE: 0.001), and 0.55 (95% CI 0.54–0.57), 0.96 (95% CI 0.96–0.97), 12.91 (95% CI 9.55–17.45), 0.35 (95% CI 0.29–0.43), 39.57 (95% CI 26.44–59.23), 0.94 (SE: 0.002) for the EA-IgA, and 0.85 (95% CI 0.84–0.85), 0.89 (95% CI 0.88–0.89), 6.73 (95% CI5.38–8.43), 0.17 (95% CI 0.12–0.23), 43.03 (95% CI 31.51–58.76), 0.93 (SE: 0.007) for the VCA-IgA, and 0.86 (95% CI 0.85–0.88), 0.87 (95% CI 0.88–0.90), 7.55 (95% CI 5.79–9.87), 0.16 (95% CI 0.13–0.19), 50.95 (95% CI 34.35–75.57), 0.94 (SE: 0.008) for the EBNA1-IgA, and 0.70 (95% CI 0.69–0.71), 0.94 (95% CI 0.94–0.95), 9.84 (95% CI 8.40–11.54), 0.25 (95% CI 0.21–0.31), 40.59 (95% CI 32.09–51.35), 0.95 (SE: 0.005) for the Rta-IgG. The EBV-DNA had larger AUC compared with other EBV-based antibodies (P < 0.05), while the difference between EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG was not statistically significant (P > 0.05). Conclusions EBV-DNA, VCA-IgA, EBNA1-IgA and Rta-IgG detection have high accuracy in early diagnosis NPC. In addition, EBV-DNA detection has the higher diagnosis accuracy in NPC. On the other hand, EA-IgA is suitable for the diagnosis but not NPC screening.

The prognostic value of radiologic extranodal extension in nasopharyngeal carcinoma: Systematic review and meta-analysis

Oral Oncology ◽  
2021 ◽  
Vol 122 ◽  
pp. 105518
Author(s):  
Tsung-You Tsai ◽  
Yung-Chih Chou ◽  
Yi-An Lu ◽  
Chung-Jan Kang ◽  
Shiang-Fu Huang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Nasopharyngeal Carcinoma ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Extranodal Extension

scholarly journals The Association between Tea Consumption and Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 21 (8) ◽  
pp. 2183-2187
Author(s):  
Simon I Okekpa ◽  
Rabiatul Basria S M N Mydin ◽  
Sivaraj Ganeson ◽  
Saravanackumar A/L Gopalan ◽  
Muhamad Yusri Musa
Keyword(s):  
Systematic Review ◽  
Nasopharyngeal Carcinoma ◽  
Meta Analysis ◽  
Tea Consumption

GSTM1 polymorphism and lung cancer risk among East Asian populations: a meta-analysis

Tumor Biology ◽  
2014 ◽  
Vol 35 (7) ◽  
pp. 6493-6500 ◽  
Author(s):  
Yan Zhao ◽  
Junjie Zeng ◽  
Yanxi Zhang ◽  
Su Lu ◽  
Erjiang Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
East Asian ◽  
Asian Populations ◽  
Gstm1 Polymorphism

OC-003: What is the best treatment in nasopharyngeal carcinoma? An individual patient data network meta-analysis

2015 ◽  
Vol 114 ◽  
pp. 6-7 ◽  
Author(s):  
P. Blanchard ◽  
A. Lee ◽  
J. Leclercq ◽  
J. Ma ◽  
A.T.C. Chan ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Individual Patient Data ◽  
Meta Analysis ◽  
Patient Data ◽  
Data Network
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