Evidence map›Paper›PMID 40395970›Full record

ArticleInfection and drug resistance2025

The Role of

Yixin Kang, Junchang Cui

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Genetic Determinants Linked to MDR/XDR inPathogens (Basel, Switzerland) · 2026
    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

2 authors.

Yixin KangNankai University, Tianjin, People's Republic of China.
Junchang CuiNankai University, Tianjin, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the association of the resistance of extensively drug-resistant/ pan-drug-resistant Methods: Twofold dilution was used to determine the minimum inhibitory concentration (MIC) of CZA against XDR/PDR-PA. Whole genome sequencing and bioinformatics analysis were used to determine the drug-resistant genes of each isolate. Pearson correlation coefficient and statistical analysis were used to assess the association of the resistance of XDR/PDR-PA to CZA and various class D β-lactamase genes. Results: ST244 was the predominant type (34/68, 50%) among the 68 XDR/PDR-PA strains. Subsequently, ST357 was the second most prevalent type (5/68, 7.4%) strain. Conclusion: Our work found that

Indexed as

ceftazidime–avibactamP. aeruginosaβ-lactamases

Identifiers

PMID40395970
PMCPMC12091062

What OpenQuestion holds

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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.