Evidence map›Paper›PMID 31434722›Full record

ArticleJournal of clinical microbiology2019

Multilaboratory Assessment of Epstein-Barr Virus Serologic Assays: the Case for Standardization.

Zhiwei Liu, Kelly J Yu, Anna E Coghill, Nicole Brenner, Su-Mei Cao, Chien-Jen Chen, Yufeng Chen, Denise L Doolan, Wan-Lun Hsu, Nazzarena Labo and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  9. Identifying Epstein-Barr virus peptide sequences associated with differential IgG antibody response.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
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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

19 authors at 10 institutions in 7 countries.

Zhiwei LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA zhiwei.liu@nih.gov.ORCID 0000-0002-0136-651X
Kelly J YuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Anna E CoghillDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
Nicole BrennerInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Su-Mei CaoDepartment of Cancer Prevention Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Chien-Jen ChenGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Yufeng ChenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Denise L DoolanCentre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia.
Wan-Lun HsuGenomics Research Center, Academia Sinica, Taipei, Taiwan.
Nazzarena LaboViral Oncology Section, AIDS and Cancer Virus Program, Leidos-Biomedical, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Jaap M MiddeldorpDepartment of Pathology, VU University Medical Center, Amsterdam, Netherlands.
Wendell MileyViral Oncology Section, AIDS and Cancer Virus Program, Leidos-Biomedical, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Julia SimonInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Cheng-Ping WangDepartment of Otolaryngology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
Tim WaterboerInfections and Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Denise WhitbyViral Oncology Section, AIDS and Cancer Virus Program, Leidos-Biomedical, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.
Shang-Hang XieDepartment of Cancer Prevention Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Weimin YeDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Allan HildesheimDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
German Cancer Research Center · DELeidos (United States) · USNational Cancer Institute · USGenomics Research Center, Academia Sinica · TWKarolinska Institutet · SESun Yat-sen University · CNAmsterdam UMC Location Vrije Universiteit Amsterdam · NLAustralian Institute of Tropical Health and Medicine · AUMoffitt Cancer Center · USNational Taiwan University Hospital · TW

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

IgA antibodies targeting Epstein-Barr virus (EBV) have been proposed for screening for nasopharyngeal carcinoma (NPC). However, methods differ, and the antigens used in these assays differ considerably between laboratories. To enable formal comparisons across a range of established EBV serology assays, we created a panel of 66 pooled serum samples and 66 pooled plasma samples generated from individuals with a broad range of IgA antibody levels. Aliquots from these panels were distributed to six laboratories and were tested by 26 assays measuring antibodies against VCA, EBNA1, EA-EBNA1, Zta, or EAd antigens. We estimated the correlation between assay pairs using Spearman coefficients (continuous measures) and percentages of agreement (positive versus negative, using predefined positivity cutoffs by each assay developer/manufacturer). While strong correlations were observed between some assays, considerable differences were also noted, even for assays that targeted the same protein. For VCA-IgA assays in serum, two distinct clusters were identified, with a median Spearman coefficient of 0.41 (range, 0.20 to 0.66) across these two clusters. EBNA1-IgA assays in serum grouped into a single cluster with a median Spearman coefficient of 0.79 (range, 0.71 to 0.89). Percentages of agreement differed broadly for both VCA-IgA (12% to 98%) and EBNA1-IgA (29% to 95%) assays in serum. Moderate-to-strong correlations were observed across assays in serum that targeted other proteins (correlations ranged from 0.44 to 0.76). Similar results were noted for plasma. We conclude that standardization of EBV serology assays is needed to allow for comparability of results obtained in different translational research studies across laboratories and populations.

Indexed as

LaboratoriesAntibodies, ViralAntigens, ViralBiological Specimen BanksCapsid ProteinsClinical Laboratory TechniquesEpstein-Barr Virus InfectionsEpstein-Barr Virus Nuclear AntigensHerpesvirus 4, HumanHumansImmunoglobulin AImmunoglobulin GSerologic TestsViral ProteinsAntibodies, ViralAntigens, ViralCapsid ProteinsEBV-encoded nuclear antigen 1Epstein-Barr viral capsid antigenEpstein-Barr Virus Nuclear AntigensImmunoglobulin AImmunoglobulin GViral ProteinsEBVnasopharyngeal carcinomaserology

Identifiers

PMID31434722
PMCPMC6813000
OpenAlexW2981335530

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.