Evidence map›Paper›PMID 36978298›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Epidemiological Characteristics and Antimicrobial Resistance Changes of Carbapenem-Resistant

Xinyi Yang, Xu Liu, Weibin Li, Lin Shi, Yingchao Zeng, Haohai Xia, Qixian Huang, Jia Li, Xiaojie Li, Bo Hu and 1 more

Open access · goldFull text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Carbapenem-resistantFrontiers in medicine · 2026
    Article
  4. Article
  5. Article
  6. Epidemiological and Antimicrobial Resistance Trends ofInfection and drug resistance · 2025
    Article
  7. The Characterisation of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  11. 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

11 authors at 1 institution in 1 country.

Xinyi YangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xu LiuDepartment of Infectious Disease, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.ORCID 0000-0003-3997-9781
Weibin LiSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-9725-7157
Lin ShiSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yingchao ZengSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Haohai XiaSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Qixian HuangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jia LiDepartment of Pharmacy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Xiaojie LiDepartment of Laboratory Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Bo HuDepartment of Laboratory Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.ORCID 0000-0002-9070-1331
Lianping YangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0001-6201-4318
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the epidemiological characteristics and resistance changes of carbapenem-resistant organisms (CROs) under the COVID-19 outbreak to provide evidence for precise prevention and control measures against hospital-acquired infections during the pandemic.

methodsThe distribution characteristics of CROs (i.e., carbapenem-resistant

resultsThe resistance rate of carbapenem-resistant

conclusionThe COVID-19 pandemic has affected the change in nosocomial infections and resistance rates in CROs, highlighting the need for hospitals to closely monitor CROs, especially in high-risk populations and clinical departments. It is possible that lower adherence to infection control in crowded wards and staffing shortages may have contributed to this trend during the COVID-19 pandemic, which warrants further research.

Indexed as

antimicrobial resistanceCOVID-19interrupted time seriesmultidrug-resistant organismsnosocomial infection

Identifiers

PMID36978298
PMCPMC10044178
OpenAlexW4321496096

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read28
Read underepoch 390

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.