Evidence map›Paper›PMID 38946905›Full record

ArticleFrontiers in microbiology2024

Cross-talk of MLST and transcriptome unveiling antibiotic resistance mechanism of carbapenem resistance

Zhilang Qiu, Kexin Yuan, Huijun Cao, Sufang Chen, Feifei Chen, Fei Mo, Guo Guo, Jian Peng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. From screening to treatment:Microbiology spectrum · 2026
    Article
  2. Article
  3. 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

8 authors.

Zhilang Qiu *Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Kexin Yuan *Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Huijun Cao *Center for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Sufang ChenKey Laboratory of Infectious Immune and Antibody Engineering of Guizhou Province, Cellular Immunotherapy Engineering Research Center of Guizhou Province, School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Feifei ChenKey Laboratory of Infectious Immune and Antibody Engineering of Guizhou Province, Cellular Immunotherapy Engineering Research Center of Guizhou Province, School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.
Fei MoCenter for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Guo GuoThe Key and Characteristic Laboratory of Modern Pathogen Biology, Basic Medical College, Guizhou Medical University, Guiyang, China.
Jian PengCenter for Clinical Laboratories, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: To better understand the local epidemiology of multidrug-resistant Results: These results showed that a total of 9 STs were detected. It was found that 99% of the strains isolated in the hospital belonged to the same STs, and the clone complex CC208 was widely distributed in various departments and all kinds of samples. Furthermore, these Discussion: These results suggest that the CC208 STs were the main clonal complex, and showed high carbapenem antibiotic resistance. All these resistant strains were distributed in various departments, but most of them were distributed in intensive care units (ICU). The

Indexed as

antibiotic resistanceantibiotic resistance mechanismcarbapenem resistance A. baumanniiMLST typingtranscriptome

Identifiers

PMID38946905
PMCPMC11211267

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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.