Evidence map›Paper›PMID 36733426›Full record

SynthesisFrontiers in veterinary science2022

Prevalence of bovine viral diarrhea virus in cattle between 2010 and 2021: A global systematic review and meta-analysis.

Nuo Su, Qi Wang, Hong-Ying Liu, Lian-Min Li, Tian Tian, Ji-Ying Yin, Wei Zheng, Qing-Xia Ma, Ting-Ting Wang, Ting Li and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Benzo[RSC advances · 2026
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  20. Viruses · 2025
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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

15 authors.

Nuo SuCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Qi WangCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Hong-Ying LiuCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Lian-Min LiCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Tian TianCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Ji-Ying YinCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Wei ZhengCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Qing-Xia MaCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Ting-Ting WangCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Ting LiCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Tie-Lin YangCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Jian-Ming LiCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Nai-Chao DiaoCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Kun ShiCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.
Rui DuCollege of Chinese Medicine Materials, Jilin Agricultural University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bovine viral diarrhea is one of the diseases that cause huge economic losses in animal husbandry. Many countries or regions have successively introduced eradication plans, but BVDV still has a high prevalence in the world. This meta-analysis aims to investigate the prevalence and risk factors of BVDV in the world in recent 10 years, and is expected to provide some reference and theoretical basis for BVDV control plans in different regions. Method: Relevant articles published from 2010 to 2021 were mainly retrieved from NCBI, ScienceDirect, Chongqing VIP, Chinese web of knowledge (CNKI), web of science and Wanfang databases. Results: 128 data were used to analyze the prevalence of BVDV from 2010 to 2021. BVDV antigen prevalence rate is 15.74% (95% CI: 11.35-20.68), antibody prevalence rate is 42.77% (95% CI: 37.01-48.63). In the two databases of antigen and antibody, regions, sampling time, samples, detection methods, species, health status, age, sex, breeding mode, and seasonal subgroups were discussed and analyzed, respectively. In the antigen database, the prevalence of dairy cows in the breed subgroup, ELISA in the detection method subgroup, ear tissue in the sample subgroup, and extensive breeding in the breeding mode were the lowest, with significant differences. In the antibody database, the prevalence rate of dairy cows in the breed subgroup and intensive farming was the highest, with a significant difference. The subgroups in the remaining two databases were not significantly different. Conclusion: This meta-analysis determined the prevalence of BVDV in global cattle herds from 2010 to 2021. The prevalence of BVDV varies from region to region, and the situation is still not optimistic. In daily feeding, we should pay attention to the rigorous and comprehensive management to minimize the spread of virus. The government should enforce BVDV prevention and control, implement control or eradication policies according to local conditions, and adjust the policies in time.

Indexed as

antibody prevalenceantigen prevalencebovine viral diarrhea viruscattlemeta-analysisrisk factors

Identifiers

PMID36733426
PMCPMC9887317

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.