Evidence map›Paper›PMID 37483295›Full record

ArticleFrontiers in veterinary science2023

Epidemiology of porcine deltacoronavirus among Chinese pig populations in China: systematic review and meta-analysis.

Junying Sun, Qin Zhang, Chunhong Zhang, Zhicheng Liu, Jianfeng Zhang

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Junying SunInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Qin ZhangInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Chunhong ZhangInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Zhicheng LiuInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Jianfeng ZhangInstitute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine deltacoronavirus (PDCoV) is a newly emerging and important porcine enteropathogenic coronavirus that seriously threatens the swine industry in China and worldwide. We conducted a systematic review and meta-analysis to access the prevalence of PDCoV infection in pig population from mainland China. Electronic databases were reviewed for PDCoV infection in pig population, and meta-analysis was performed to calculate the overall estimated prevalence using random-effect models. Thirty-nine studies were included (including data from 31,015 pigs). The overall estimated prevalence of PDCoV infection in pigs in China was 12.2% [95% confidence interval (CI), 10.2-14.2%], and that in Central China was 24.5% (95%CI, 16.1-32.9%), which was higher than those in other regions. During 2014-2021, the estimated prevalence of PDCoV infection was the highest in 2015 at 20.5% (95%CI, 10.1-31.0%) and the lowest in 2021 at 4.8% (95%CI, 2.3-7.3%). The prevalence of PDCoV infection in sows was 23.6% (95%CI, 15.8-31.4%), which was higher than those in suckling piglets, nursery piglets, and finishing pigs. The prevalence of PDCoV infection was significantly associated with sampling region, sampling year, pig stage, and clinical signs (diarrhea). This study systematically evaluated the epidemiology of PDCoV infection in Chinese pig population. The findings provide us with a comprehensive understanding of PDCoV infection and are beneficial for establishing new controlling strategies worldwide.

Indexed as

Chinese pig populationepidemiologymeta-analysisPDCoVsystematic review

Identifiers

PMID37483295
PMCPMC10361067

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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.