Evidence map›Paper›PMID 37828733›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Rising Drug Resistance Among Gram-Negative Pathogens in Bloodstream Infections: A Multicenter Study in Ulanhot, Inner Mongolia (2017-2021).

Yinxia Feng, Zhijun Wang, Zelin Hao, Jinlong Du, Hui Jiang

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Yinxia FengDepartment of Laboratory Medicine, Xing'an League People's Hospital, Xing'an League, Ulanhot, Inner Mongolia, China (mainland).
Zhijun WangDepartment of Laboratory Medicine, Xing'an League People's Hospital, Xing'an League, Ulanhot, Inner Mongolia, China (mainland).
Zelin HaoDepartment of Laboratory Medicine, Ulanhot People's Hospital, Xing'an League, Ulanhot, Inner Mongolia, China (mainland).
Jinlong DuDepartment of Laboratory Medicine, Keyou Qianqi People's Hospital, Xing'an League, Tongliao, Inner Mongolia, China (mainland).
Hui JiangDepartment of Laboratory Medicine, Xing'an League People's Hospital, Xing'an League, Ulanhot, Inner Mongolia, China (mainland).
Inner Mongolia People's Hospital · CNQihe People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Bloodstream infections, which arise when pathogenic microorganisms infiltrate the bloodstream, present a grave health risk. Their potentially lethal nature combined with the ability to severely impair physiological functions underscore the importance of understanding and mitigating such infections. This study aimed to elucidate drug sensitivity profiles and distribution of these pathogens in hospitals in Ulanhot, Inner Mongolia. MATERIAL AND METHODS From 2017 to 2021, we gathered blood culture-positive samples from several hospitals across Ulanhot. Using combined diagnostic techniques, including the instrument method, paper diffusion, and Epsilometer test (E-test), we determined the identity of pathogens and assessed their drug sensitivity. Subsequent data processing with WHONET 5.6 software provided insights into the patterns of microbial distribution and extent of drug resistance. RESULTS Of 2498 pathogenic strains identified, 35.83% were gram-positive, 62.45% were gram-negative, and a smaller fraction of 1.72% were fungi. Escherichia coli and Klebsiella pneumoniae were the primary bacteria, contributing to 35.15% and 15.73% of infections, respectively. Alarmingly, methicillin-resistant strains exhibited pronounced resistance to drugs, notably penicillin G (resistance rates of 80.87% to 100.00%) and erythromycin (resistance rates of 91.16% to 97.28%). Acinetobacter baumannii had a particularly high resistance profile, surpassing Pseudomonas aeruginosa, which exhibited a resistance rate below 30.00%. CONCLUSIONS Ulanhot's primary bloodstream infection agents were gram-negative bacteria, specifically E. coli and K. pneumoniae. The growing drug resistance observed, particularly among strains like A. baumannii, highlights the pressing need for rigorous drug resistance surveillance and the strategic use of antibiotics, ensuring their efficacy is preserved for future medical needs.

Indexed as

BacteremiaMethicillin-Resistant Staphylococcus aureusSepsisAnti-Bacterial AgentsChinaDrug ResistanceDrug Resistance, BacterialEscherichia coliHumansMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID37828733
PMCPMC10583603
OpenAlexW4386374393

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.