Evidence map›Paper›PMID 32222897›Full record

ArticlePathology oncology research : POR2020

Comparison of Epstein-Barr Virus Serological Tools for the Screening and Risk Assessment of Nasopharyngeal Carcinoma: a Large Population-based Study.

Junying Guo, Zhaolei Cui, Yuhong Zheng, Xiaoli Li, Yan Chen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Epstein-Barr Virus Infection Is Associated with Elevated Hepcidin Levels.International journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Junying GuoDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420 Fuma Road, 350014, Fuzhou City, Fujian Province, China.
Zhaolei CuiDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420 Fuma Road, 350014, Fuzhou City, Fujian Province, China.
Yuhong ZhengDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420 Fuma Road, 350014, Fuzhou City, Fujian Province, China.
Xiaoli LiDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420 Fuma Road, 350014, Fuzhou City, Fujian Province, China.
Yan ChenDepartment of Clinical Laboratory, Fujian Provincial Key Laboratory of Tumor Biotherapy, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420 Fuma Road, 350014, Fuzhou City, Fujian Province, China. 19895758592@163.com.
Fujian Provincial Cancer Hospital · CN

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province 2017Y9072Natural Science Foundation of Fujian Province 2018J01273Science and Technology Program of Fujian Province 2018Y2003
6 · The paper itself

Abstract

Epstein-Barr virus (EBV)-based serologic antibody testing has been found to be a feasible alternative for nasopharyngeal carcinoma (NPC) screening in endemic areas. The purpose of this study was to evaluate the performance of ELISA based on VCA IgA antibody, EA-IgA and Rta-IgG antibody specific to EBV in the diagnosis of NPC. A total of 2155 untreated NPC patients and 6957 healthy volunteers without nasopharyngeal disorder were recruited, and all subjects received EBV VCA-IgA, EA-IgA and Rta-IgG antibody tests simultaneously. The diagnostic efficiency of three testing alone or in combination for the diagnosis of NPC was evaluated. The prevalence of IgA antibody against EBV-VCA, IgA antibody against EBV-EA and IgG antibody against EBV-Rta was 89.9%, 46.6% and 63.2%. The sensitivity, specificity, positive predictive value, negative predictive value and Youden index were 89.88%, 89.65%, 73.18%, 96.63% and 0.79 for the EBV VCA-IgA antibody test, 46.59%, 96.89%, 82.5%, 85.42% and 0.43 for the EA-IgA antibody test, and 63.25%, 94.87%, 79.48%, 89.29% and 0.58 for the Rta-IgG antibody test in the diagnosis of NPC, and ROC curve analysis revealed the greatest diagnostic efficiency for EBV VCA-IgA antibody test and the lowest efficiency for EBV EA-IgA antibody test in the diagnosis of NPC. In addition, the simultaneous triple positivity of VCA-IgA, EA-IgA and Rta-IgG antibodies specific to EBV indicated the highest risk of NPC, and the simultaneous triple negativity of the three types of anti-EBV antibodies suggested the lowest risk of NPC. Our data demonstrate that EBV VCA-IgA antibody test shows a higher diagnostic efficiency than EA-IgA and Rta-IgG antibody tests for the screening of NPC, and triple positivity of is a better biomarker for the diagnosis of NPC.

Indexed as

AdolescentAdultAgedAged, 80 and overAntibodies, ViralCase-Control StudiesChildChinaEpstein-Barr Virus InfectionsFemaleFollow-Up StudiesHerpesvirus 4, HumanHumansImmunoglobulin AImmunoglobulin GMaleAntibodies, ViralImmunoglobulin AImmunoglobulin GDiagnostic efficiencyEA-IgAEpstein-Barr virusNasopharyngeal carcinomaROC curve analysisRta-IgGSerological screeningVCA-IgA

Identifiers

PMID32222897
OpenAlexW3013831081

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.