Evidence map›Paper›PMID 36298772›Full record

ReviewViruses2022

A Review of Bioactive Compounds against Porcine Enteric Coronaviruses.

Cong Duan, Yufeng Luo, Xianming Liang, Xia Wang

Open access · goldAbstract readReview
In one paragraph

Review in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Licorice extract inhibits porcine epidemic diarrhea virusThe Journal of general virology · 2024
    Article
  9. Research Advances on Swine Acute Diarrhea Syndrome Coronavirus.Animals : an open access journal from MDPI · 2024
    Review
  10. Article
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

4 authors at 1 institution in 1 country.

Cong DuanChina Institute of Veterinary Drug Control, Beijing 100081, China.
Yufeng LuoChina Institute of Veterinary Drug Control, Beijing 100081, China.
Xianming LiangChina Institute of Veterinary Drug Control, Beijing 100081, China.
Xia WangChina Institute of Veterinary Drug Control, Beijing 100081, China.
China Institute of Veterinary Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pig diarrhea is a universal problem in the process of pig breeding, which seriously affects the development of the pig industry. Porcine enteric coronaviruses (PECoVs) are common pathogens causing diarrhea in pigs, currently including transmissible gastroenteritis virus (TGEV), porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV) and swine acute diarrhea syndrome coronavirus (SADS-CoV). With the prosperity of world transportation and trade, the spread of viruses is becoming wider and faster, making it even more necessary to prevent PECoVs. In this paper, the host factors required for the efficient replication of these CoVs and the compounds that exhibit inhibitory effects on them were summarized to promote the development of drugs against PECoVs. This study will be also helpful in discovering general host factors that affect the replication of CoVs and provide references for the prevention and treatment of other CoVs.

Indexed as

CoronavirusCoronavirus InfectionsPorcine epidemic diarrhea virusSwine DiseasesAnimalsDiarrheaSwineantiviral compoundsdiarrheahost factorsporcine enteric coronaviruses

Identifiers

PMID36298772
PMCPMC9607050
OpenAlexW4304789117

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.