Evidence map›Paper›PMID 41234410›Full record

ReviewFrontiers in veterinary science2025

Research progress on the diagnostic techniques and vaccine development of bovine herpesvirus types 1.

Jianming Zhang, Jian Cao, Liang Cao, Chao Zhang, Liyuan Gong, Xiaohong Kang, Dehong Li, Yang Zhang

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A mini review on advances in diagnostic techniques forFrontiers in veterinary science · 2026
    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

8 authors.

Jianming ZhangCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Jian CaoCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Liang CaoCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Chao ZhangCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Liyuan GongCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Xiaohong KangCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Dehong LiCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.
Yang ZhangCollege of Bioengineering, Jiuquan Vocational and Technical University, Jiuquan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine herpesvirus type 1 (BoHV-1) constitutes a major etiological agent associated with the onset of bovine respiratory disease in cattle. This virus is widely prevalent across global cattle populations, leading to significant economic losses. The advancement of early diagnostic methodologies and the formulation of effective vaccines are crucial for the prevention, control, and potential eradication of BoHV-1. This review offers a comprehensive overview of current diagnostic methodologies for BoHV-1, encompassing serological diagnostic approaches, molecular detection methods, and emerging novel techniques. Furthermore, recent development in vaccine research targeting BoHV-1 infection are discussed. Ultimately, this review aims to provide critical insights into the management of BoHV-1 infection, and guide future research efforts in the enhancement of diagnostic tools and vaccine strategies.

Indexed as

bovine herpesvirus type 1cattlediagnostic approachesprevention and managementvaccine development

Identifiers

PMID41234410
PMCPMC12605209

What OpenQuestion holds

Textmetadata
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.