Evidence map›Paper›PMID 41731354›Full record

ArticleBMC microbiology2026

The trend and potential factors of the longitudinal antimicrobial resistance of Escherichia coli strains in recent decades worldwide.

Ying Wang, Yange Cui, Jie Xu, Haitao Yuan, Liqin Shi, Fang Liu, Jinzhao Long, Jingyuan Zhu, Haiyan Yang

Abstract read
In one paragraph

Article in BMC 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

9 authors.

Ying WangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Yange CuiDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Jie XuDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Haitao YuanDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Liqin ShiDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Fang LiuDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Jinzhao LongDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Jingyuan ZhuDepartment of Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Haiyan YangDepartment of Epidemiology, College of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China. yhy@zzu.edu.cn.

Funding

National Key Research and Development Program of China 2023YFC2605603National Natural Science Foundation of China 82273696Program for Innovative Research Team (in Science and Technology) 25IRTSTHN038
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a critical threat to global public health in the 21st century. Escherichia coli (E. coli), as a major bacterial pathogen, is widely distributed in humans, animals, and the environment, is not only a common pathogen causing urinary tract infections, bacteremia, and infectious diarrhea, but also one of the main pathogens leading to the sharp increase of multi-drug resistant strains. Therefore, understanding the long-term changing patterns of drug resistance in E. coli and exploring the key driving factors of drug resistance development are of vital importance for curbing the spread of AMR. Here, we observed the patterns of antibiotic resistance genes (ARGs) in 3085 E. coli isolates collected over the past 70 years since 1948. Our results indicated that the count of ARGs in E. coli had gradually increased in recent decades (P < 0.001). In particular, we found that the human development index may have indirectly contributed to the rise in antibiotic resistance in E. coli isolates by promoting the use of antibiotics. Finally, generalized linear models combined with restricted cubic splines showed that global antibiotic consumption, mobile genetic elements, and climatic factors all affected the count of ARGs in E. coli isolates. Overall, this study monitored the long-term trend of ARGs in E. coli isolates, analyzed the potential influencing factors of ARGs in these isolates, and offered a theoretical framework for controlling the global risk of antibiotic resistance.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsAnimalsGenes, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntibiotic resistanceClimate changeEscherichia coliMobile genetic elements

Identifiers

PMID41731354
PMCPMC13036905

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Registered trials

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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.