Evidence map›Paper›PMID 32922380›Full record

ArticleFrontiers in microbiology2020

Fang He, Xiaobin Qin, Na Xu, Pan Li, Xiaoyan Wu, Lijie Duan, Yiyang Du, Rendong Fang, Philip R Hardwidge, Nengzhang Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Study on the Pathogenic Mechanism ofPathogens (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
  4. Characterization and Genomic Analysis ofAnimals : an open access journal from MDPI · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Secretome Analysis of High- and Low-Virulent BovineAnimals : an open access journal from MDPI · 2023
    Article
  11. Article
  12. Infection and immunity · 2023
    Article
  13. Article
  14. Article
  15. Transcriptomic Analysis of High- and Low-Virulence BovineFrontiers in veterinary science · 2021
    Article
  16. L-Ascorbic Acid Shapes BovineFrontiers in veterinary science · 2021
    Article
  17. 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

11 authors at 2 institutions in 2 countries.

Fang HeCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Xiaobin QinCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Na XuCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Pan LiCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Xiaoyan WuCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Lijie DuanCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Yiyang DuCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Rendong FangCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Philip R HardwidgeCollege of Veterinary Medicine, Kansas State University, Manhattan, KS, United States.
Nengzhang LiCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Yuanyi PengCollege of Animal Science and Technology, Southwest University, Chongqing, China.
Southwest University · CNKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

inflammatory responsesPasteurella multocidaPm0442TLR2virulence gene

Identifiers

PMID32922380
PMCPMC7456837
OpenAlexW3049662640

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.