Evidence map›Paper›PMID 40872741›Full record

ReviewViruses2025

Advances in Epstein-Barr Virus Detection: From Traditional Methods to Modern Technologies.

Yidan Sun, Shuyu Ling, Dani Tang, Meimei Yang, Chao Shen

Abstract readReview
In one paragraph

Review in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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.

Yidan SunChina Center for Type Culture Collection, Wuhan University, Wuhan 430072, China.ORCID 0009-0009-5588-3772
Shuyu LingCollege of Life Sciences, Wuhan University, Wuhan 430072, China.
Dani TangCollege of Life Sciences, Wuhan University, Wuhan 430072, China.
Meimei YangChina Center for Type Culture Collection, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-2498-2769
Chao ShenChina Center for Type Culture Collection, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-4687-0127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Epstein-Barr virus (EBV) is a prevalent virus linked to various diseases, including infectious mononucleosis (IM), nasopharyngeal carcinoma, and Hodgkin's lymphoma. Over the past few decades, EBV diagnostic strategies have evolved significantly-progressing from traditional serological assays and histopathology to more sensitive and specific molecular techniques such as nucleic acid amplification and high-throughput sequencing (HTS). While conventional methods remain valuable for their accessibility and established clinical use, they are often limited by sensitivity, speed, and multiplexing capability. In contrast, emerging technologies, including isothermal amplification, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based diagnostics, multi-omics integration, and AI-assisted analysis, have demonstrated great promise in improving diagnostic accuracy, speed, and applicability in diverse clinical settings, including point-of-care testing (POCT). This review systematically explores the historical development of EBV diagnostic technologies, highlighting key milestones and future trends in precision medicine and global health readiness.

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanMolecular Diagnostic TechniquesHigh-Throughput Nucleotide SequencingHumansNucleic Acid Amplification Techniquesdetection methodsEpstein–Barr virus (EBV)point-of-care testing (POCT)

Identifiers

PMID40872741
PMCPMC12390056

What OpenQuestion holds

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LicenceCC BY
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.