Evidence map›Paper›PMID 36388786›Full record

ArticleAnnals of translational medicine2022

Clinical and resistance characterization of carbapenem-resistant

Te Xu, Wei Feng, Fengjun Sun, Yan Qian

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Carbapenem-ResistantInfection prevention in practice · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Clinical and Molecular Profile of Carbapenem ResistantInfection and drug resistance · 2023
    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

4 authors at 4 institutions in 1 country.

Te XuDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei FengDepartment of Pharmacy, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Fengjun SunDepartment of Pharmacy, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Yan QianDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Army Medical University · CNChongqing Medical University · CNDalian Medical University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carbapenem-resistant Methods: A total of 150 CRKP strains from Chongqing, Beijing, and Nantong, as well as the clinical data of the infected patients, were collected between 2019 and 2021. The carbapenemase phenotype was determined by CarbaNP test, and the outer membrane porin (OMP) genes ( Results: Patients infected with CRKP were mainly elderly, with comorbidity, and had undergone invasive operation and multiple antibiotic therapy. All strains exhibited high-level resistance to most antibiotics except for polymyxin B and tigecycline. Among the CRKP strains, 100 had the Conclusions: There were a few significant differences in the molecular epidemiology and clinical characteristics, but generally the features of CRKP from the three ICUs aligned fairly well, which might have resulted from dissemination through frequent personnel exchanges between regions.

Indexed as

Carbapenem-resistant Klebsiella pneumoniae (CRKP)clinical characteristicsregional differencesresistance mechanism

Identifiers

PMID36388786
PMCPMC9652514
OpenAlexW4307710611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.