Evidence map›Paper›PMID 38660055›Full record

ReviewInfection and drug resistance2024

Virulence Factors and Carbapenem-Resistance Mechanisms in Hypervirulent

Yiqun Liao, Junjie Gong, Xiaoliang Yuan, Xiaoling Wang, Yuanhong Huang, Xiaohong Chen

Open access · goldAbstract readReview
In one paragraph

Review in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Association of Klebsiella pneumoniae sequence type 11 but not other virulence factors with patient mortality: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. <p>Molecular medicine reports · 2026
    Review
  7. Genomic and Clinical Profile of HypervirulentPathogens (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Multidrug-resistant hypervirulentFuture microbiology · 2025
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Yiqun LiaoDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Junjie GongDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Xiaoliang YuanDepartment of Respiratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Xiaoling WangDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Yuanhong HuangDepartment of Laboratory Medicine, Ganzhou Municipal Hospital, Ganzhou, People's Republic of China.
Xiaohong ChenDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
First Affiliated Hospital of Gannan Medical University · CNGanzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypervirulent

Indexed as

drug resistancehypervirulent Klebsiella pneumoniaeplasmidvirulence factors

Identifiers

PMID38660055
PMCPMC11042477
OpenAlexW4394980055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.