Evidence map›Paper›PMID 39678907›Full record

ArticleJournal of thoracic disease2024

A single-center retrospective study of the molecular epidemiological characteristics of different

Wei Chen, Zhao Cai, Shuangqing Liu, Giovanni Sotgiu, Ignacio Martin-Loeches, Yang Cao

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wei ChenDepartment of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China.
Zhao CaiShenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China.
Shuangqing LiuDepartment of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, China.
Giovanni SotgiuClinical Epidemiology and Medical Statistics Unit, Department of Medicine, Surgery and Pharmacy, University of Sassari - Research, Medical Education and Professional Development Unit, AOU Sassari, Sassari, Italy.
Ignacio Martin-LoechesDepartment of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organisation (MICRO), St James's Hospital, Dublin, Ireland.
Yang CaoDepartment of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: The STs were analyzed using multi-locus sequence typing (MLST). Drug susceptibility tests were used to examine the resistance of these STs to various antibiotics. A phylogenetic tree of these isolates was constructed using the National Center for Biotechnology Information genome as the reference. Antibiotic resistance genes were identified by comparing the genomic sequences against those in the Comprehensive Antibiotic Resistance Database. Virulence genes were identified using the Virulence Factor database, while the pathogenicity of the isolates was predicted using PathogenFinder. Results: In total, 38 clinical isolates of Conclusions: The carbapenem-resistant

Indexed as

Carbapenem-resistanthypervirulentKlebsiella pneumoniaemultidrug resistancepathogenicity

Identifiers

PMID39678907
PMCPMC11635258

What OpenQuestion holds

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Registered trials

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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.