Evidence map›Paper›PMID 39858164›Full record

ArticleAnimals : an open access journal from MDPI2025

Antimicrobial Susceptibility of

Peng Zhang, Changmin Li, Shuna Shang, Ting Huang, Junqi Liu, Qianwen Ge, Xiaoping Liao, Liangxing Fang, Yang Yu

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Peng ZhangNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Changmin LiNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Shuna ShangNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Ting HuangVeterinary Medicine, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Junqi LiuNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Qianwen GeNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Xiaoping LiaoNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Liangxing FangNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.
Yang YuNational Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, South China Agricultural University, Guangzhou 510642, China.

Funding

China Postdoctoral Science Foundation 2020M682738Double first-class discipline promotion project 2023B10564003Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program 2019BT02N054the National Key Research & Development Program of China 2022YFE0103200the National Natural Science Foundation of China No.32002337the Natural Science Foundation of Guangdong Province, China 2022A1515011194
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

erm(T)Glaesserella parasuisintegrative and conjugative elementmacrolide resistance

Identifiers

PMID39858164
PMCPMC11758284

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.