Evidence map›Paper›PMID 42643749›Full record

ArticleFrontiers in microbiology2026

Molecular epidemiology of

Li Fangfang, Wang Haiyang, Shan Pengju, Wang Jingying, Hu Jiangang, Lian Liyan, Wang Zhihao, Saqib Nawaz, Bao Yinli, Han Xiangan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Li FangfangCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, China.
Wang HaiyangCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, China.
Shan PengjuCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, China.
Wang JingyingCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, China.
Hu JiangangThe Chinese Academy of Agricultural Sciences (CAAS), Shanghai Veterinary Research Institute, Shanghai, China.
Lian LiyanThe Chinese Academy of Agricultural Sciences (CAAS), Shanghai Veterinary Research Institute, Shanghai, China.
Wang ZhihaoThe Chinese Academy of Agricultural Sciences (CAAS), Shanghai Veterinary Research Institute, Shanghai, China.
Saqib NawazThe Chinese Academy of Agricultural Sciences (CAAS), Shanghai Veterinary Research Institute, Shanghai, China.
Bao YinliKey Laboratory of Fujian Universities Preventive Veterinary Medicine and Biotechnology, Longyan University, Longyan, China.
Han XianganThe Chinese Academy of Agricultural Sciences (CAAS), Shanghai Veterinary Research Institute, Shanghai, China.
Wang HaidongCollege of Veterinary Medicine, Shanxi Agricultural University, Taigu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The emergence of mcr-1-harboring avian pathogenic Methods: A total of 50 Results: Serotyping identified O18 (28%) and O78 (20%) as the predominant serotypes, with no O1 detected. Phylogenetic analysis showed that phylogroup A was most prevalent (32.0%), followed by B2 (12.0%), D (12.0%), and B1 (10.0%); the remaining isolates (34.0%) were untypeable. All isolates were multidrug-resistant (resistant to ≥3 drug classes), with universal resistance to tetracycline and trimethoprim-sulfamethoxazole, and over 85% resistance to kanamycin, amoxicillin, florfenicol, and chloramphenicol. The resistance genes Discussion: The findings demonstrate that

Indexed as

avian pathogenic Escherichia colibiofilm formationMCR-1molecular epidemiologymultidrug resistance

Identifiers

PMID42643749
PMCPMC13504654

What OpenQuestion holds

Textmetadata
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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.