Evidence map›Paper›PMID 29301829›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2018

Identification of a Novel, EBV-Based Antibody Risk Stratification Signature for Early Detection of Nasopharyngeal Carcinoma in Taiwan.

Anna E Coghill, Ruth M Pfeiffer, Carla Proietti, Wan-Lun Hsu, Yin-Chu Chien, Lea Lekieffre, Lutz Krause, Andy Teng, Jocelyn Pablo, Kelly J Yu and 9 more

Erratum issued Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06129201 (Development of a Machine Learning Model for Nasopharyngeal Carcinoma Screening Based on Tongue Imaging), which is not on this map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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.

NCT06129201 unknown statusnot on this mapstarted 2023, after this paper: background citation

Development of a Machine Learning Model for Nasopharyngeal Carcinoma Screening Based on Tongue Imaging: a Prospective Multicenter Cross-sectional Study

TypeobservationalSponsorFifth Affiliated Hospital, Sun Yat-Sen UniversityRan2023 to 2025Enrolled5,000ConditionsNasopharyngeal CarcinomaArmsTongue image
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Circulating Antibodies against Epstein-Barr Virus (EBV) and p53 in EBV-Positive and -Negative Gastric Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
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  9. Sex Differences in Anti-Epstein-Barr Virus Antibody Responses.The Journal of infectious diseases · 2025
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  10. Review
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  15. The Epstein-Barr Virus Nuclear Antigen 1 Variant Associated with Nasopharyngeal Carcinoma Defines the Sequence Criteria for Serologic Risk Prediction.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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  20. Comparative Analysis of the Humoral Immune Response to the EBV Proteome across EBV-Related Malignancies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 1 institution in 1 country.

Anna E CoghillDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland. anna.coghill@nih.gov denise.doolan@jcu.edu.au.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Carla ProiettiQueensland Institute of Medical Research, Brisbane, Australia.
Wan-Lun HsuGenomics Research Center, Academica Sinica, Taipei, Taiwan.
Yin-Chu ChienGenomics Research Center, Academica Sinica, Taipei, Taiwan.
Lea LekieffreQueensland Institute of Medical Research, Brisbane, Australia.
Lutz KrauseQueensland Institute of Medical Research, Brisbane, Australia.
Andy TengAntigen Discovery Inc., Irvine, California.
Jocelyn PabloAntigen Discovery Inc., Irvine, California.
Kelly J YuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Pei-Jen LouDepartment of Otolaryngology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
Cheng-Ping WangDepartment of Otolaryngology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.
Zhiwei LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Chien-Jen ChenGenomics Research Center, Academica Sinica, Taipei, Taiwan.
Jaap MiddeldorpVrije University Medical Center, Amsterdam, the Netherlands.
Jason MulvennaQueensland Institute of Medical Research, Brisbane, Australia.
Jeff BethonyDepartment of Microbiology, Immunology, and Tropical Medicine, George Washington University Medical Center, Washington, District of Columbia.
Allan Hildesheim *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Denise L Doolan *Queensland Institute of Medical Research, Brisbane, Australia. anna.coghill@nih.gov denise.doolan@jcu.edu.au.
QIMR Berghofer Medical Research Institute · AU

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Early Detection of CancerAdultAgedAntibodies, ViralCase-Control StudiesCross-Sectional StudiesEpstein-Barr Virus InfectionsFemaleHerpesvirus 4, HumanHumansImmunoglobulin AImmunoglobulin GMaleMass ScreeningMiddle AgedNasopharyngeal CarcinomaAntibodies, ViralImmunoglobulin AImmunoglobulin G

Identifiers

PMID29301829
PMCPMC5856605
OpenAlexW2781835526

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.