Evidence map›Paper›PMID 23497282›Full record

ReviewVirology journal2013

An overview of control strategy and diagnostic technology for foot-and-mouth disease in China.

Yao-Zhong Ding, Hao-Tai Chen, Jie Zhang, Jian-Hua Zhou, Li-Na Ma, Liang Zhang, Yuanxin Gu, Yong-Sheng Liu

Open access · goldAbstract readReview
In one paragraph

Review in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.7field-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.

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

16 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  4. Vaccine matching and antigenic variability of foot-and-mouth disease virus serotypes O and A from 2018 Ethiopian isolates.International microbiology : the official journal of the Spanish Society for Microbiology · 2022
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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

8 authors at 2 institutions in 1 country.

Yao-Zhong DingOIE/China National Foot-and-Mouth Disease Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China.
Hao-Tai Chen
Jie Zhang
Jian-Hua Zhou
Li-Na Ma
Liang Zhang
Yuanxin Gu
Yong-Sheng Liu
Lanzhou Veterinary Research Institute · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot-and-mouth disease (FMD) is one of most contagious animal diseases. It affects millions of cloven-hoofed animals and causes huge economic losses in many countries of the world. There are seven serotypes of which three (O, A and Asia 1) are endemic in China. Efficient control of FMD in China is crucial for the prevention and control of FMD in Asia and throughout the world. For the control of FMD, a powerful veterinary administration, a well-trained veterinary staff, a system of rapid and accurate diagnostic procedures and, in many countries, compulsory vaccination of susceptible animals are indispensable. This article strives to outline the Chinese animal disease control and prevention system, in particular for FMD, with the emphasis on diagnostic procedures applied in Chinese laboratories. In addition, new technologies for FMD diagnosis, which are currently in the phase of development or in the process of validation in Chinese laboratories, are described, such as lateral flow devices (LFD), Mab-based ELISAs, reverse transcription loop-mediated isothermal amplification (RT-LAMP) and gold nanopariticle immuno-PCR (GNP-IPCR).

Indexed as

AnimalsChinaCommunicable Disease ControlDiagnostic Techniques and ProceduresFoot-and-Mouth DiseaseFoot-and-Mouth Disease VirusLivestock

Identifiers

PMID23497282
PMCPMC3601015
OpenAlexW2162264494

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.