Evidence map›Paper›PMID 37159707›Full record

ArticleHeliyon2023

Antibiotic susceptibility pattern, risk factors, and prediction of carbapenem-resistant

Yao Liu, Yifei Xu, Shu Wang, Zhangrui Zeng, Zhaoyinqian Li, Yinhuan Din, Jinbo Liu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 50% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Enhancing prognostic prediction of invasive candidiasis among cancer patients with a serum C5a-based scoring model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  7. 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

7 authors at 1 institution in 1 country.

Yao LiuDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Yifei XuDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Shu WangDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Zhangrui ZengDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Zhaoyinqian LiDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Yinhuan DinDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Jinbo LiuDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study was aimed at describing antibiotic susceptibility patterns and developing a predictive model by assessing risk factors for carbapenem-resistant Methods: A retrospective case-control study was conducted at a teaching hospital in China from May 2019 to July 2021. Patients were divided into the carbapenem-susceptible Results: A total of 61 among 292 patients with nosocomial pneumonia were infected with CRPA. In the CSPA and CRPA groups, amikacin was identified as the most effective antibiotic, with susceptibility of 89.7%. The CRPA group showed considerably higher rates of resistance to the tested antibiotics. Based on the results of mCIM and eCIM, 28 (45.9%) of 61 isolates might be carbapenemase producers. Independent risk factors related to CRPA nosocomial pneumonia were craniocerebral injury, pulmonary fungus infection, prior use of carbapenems, prior use of cefoperazone-sulbactam, and time at risk (≥15 d). In the predictive model, a score >1 point indicated the best predictive ability. Conclusions: CRPA nosocomial pneumonia could be predicted by risk factor assessment particularly based on the underlying disease, antimicrobial exposure, and time at risk, which could help prevent nosocomial pneumonia.

Indexed as

Carbapenem-resistantNosocomial pneumoniaPredictive modelPseudomonas aeruginosaRisk factors

Identifiers

PMID37159707
PMCPMC10163646
OpenAlexW4366778845

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.