Evidence map›Paper›PMID 42852378›Full record

ArticleInfection and drug resistance2026

Clinical Distribution Characteristics and Antimicrobial Resistance Trends of

Kang Liu, Zhi Zheng, Lili Liu, Wanjun Wang, Xiaoyue Li

Abstract read
In one paragraph

Article in Infection and drug resistance, 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

5 authors.

Kang LiuClinical Laboratory Department, Anqing First People's Hospital of Anhui Medical University, Anqing, Anhui, People's Republic of China.
Zhi ZhengHunan Province Cooperative Innovation Center for Molecular Target New Drug Study & School of Pharmaceutical Science, University of South China, Hengyang, Hunan, People's Republic of China.
Lili LiuDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Medical University, Anqing, Anhui, People's Republic of China.ORCID 0009-0007-2047-5133
Wanjun WangClinical Laboratory Department, Anqing First People's Hospital of Anhui Medical University, Anqing, Anhui, People's Republic of China.
Xiaoyue LiClinical Laboratory Department, Anqing First People's Hospital of Anhui Medical University, Anqing, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the distribution and antimicrobial susceptibility of Methods: The non-repetitive bacterial strains were detected and collected in this hospital, Pathogen identification was performed using a mass spectrometer. Susceptibility testing was performed using an automated system or disk diffusion. The 2025 CLSI clinical standards were applied to determine susceptibility. Experimental susceptibility data were statistically analyzed using WHONET 5.6 software and SPSS26.0. Chi-square tests and trend tests were used for the statistical analyses. Results: 8992 pathogenic strains were isolated during 2021-2025, including 1135 KPN, and the total detection rate was 12.6%. The annual detection rates from 2021 to 2025 were 12.8% (225/1,756), 11.7% (203/1,733), 14.5% (261/1,804), 12.6% (234/1,863), and 11.5% (212/1,836), respectively. The overall detection rate of Carbapenem-resistant Conclusion: During the five-year period from 2021 to 2025, the isolated

Indexed as

antibioticsdistribution characteristicsKlebsiella pneumoniaeresistance analysis

Identifiers

PMID42852378
PMCPMC13648167

What OpenQuestion holds

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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.