Evidence map›Paper›PMID 30174888›Full record

ArticleJournal of thoracic disease2018

Knowledge and practice of Chinese physicians toward carbapenem-resistant

Qingfeng Shi, Jue Pan, Yuyan Ma, Bijie Hu, Xiaodong Gao

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. 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
0.1field-weighted citation impact, top 66% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Qingfeng ShiDepartment of Infection Control, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Jue PanDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yuyan MaDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Bijie HuDepartment of Infection Control, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Xiaodong GaoDepartment of Infection Control, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Fudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbapenem-resistant

methodsA cross-sectional survey of CRE-related knowledge and practice was conducted in top 100 tertiary comprehensive hospitals between June and July 2017.

resultsA total of 53 designed hospitals responded, including 217 intensive care unit physicians, 142 respiratory physicians, 112 hematology physicians, and 58 infectious disease physicians. The percentage of correct answers to each questions ranged from 25.7% to 89%, and the physicians' knowledge score ranged from 1 to 9 (median =6; interquartile range, 5-7). A significant relationship was found between CRE knowledge level and demographics of city level, work department, and CRE treated in the last 6 months. In terms of practice, physicians with a high knowledge level were more likely to treat CRE infection with combined medication, considering undesirable infection control practice as the main risk factor.

conclusionsOverall, majority of physicians were concerned about CRE infections and indicated that they would take measures to prevent this gram-negative resistant bacteria. The findings will help focus and target on teaching and awareness-raising strategies.

Indexed as

Carbapenem-resistant enterobacteriaceae (CRE)Chinese physicianKnowledgepractice

Identifiers

PMID30174888
PMCPMC6105954
OpenAlexW2883768244

What OpenQuestion holds

Textmetadata
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.