Evidence map›Paper›PMID 30283084›Full record

ArticleScientific reports2018

Impact of an infectious diseases specialist-led antimicrobial stewardship programmes on antibiotic use and antimicrobial resistance in a large Korean hospital.

Hyeonjun Hwang, Bongyoung Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 61 citations in OpenAlex.

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  17. Epidemiology and Molecular Basis of Multidrug Resistance in Rhodococcus equi.Microbiology and molecular biology reviews : MMBR · 2021
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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 at 2 institutions in 2 countries.

Hyeonjun HwangSchool of Economic Sciences, Washington State University, Pullman, USA.
Bongyoung KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea. sobakas@hanyang.ac.kr.ORCID http://orcid.org/0000-0002-5029-6597
Hanyang University · KRWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the impact of an infectious diseases specialist (IDS)-led antimicrobial stewardship programmes (ASPs) in a large Korean hospital. An interrupted time series analysis assessing the trends in antibiotic use and antimicrobial resistance rate of major pathogens between September 2015 and August 2017 was performed in an 859-bed university-affiliated hospital in Korea. The restrictive measure for designated antibiotics led by an IDS reduced carbapenems usage by -4.57 days of therapy (DOT)/1,000 patient-days per month in general wards (GWs) (95% confidence interval [CI], -6.69 to -2.46; P < 0.001), and by -41.50 DOT/1,000 patient-days per month in intensive care units (ICUs) (95% CI, -57.91 to -25.10; P < 0.001). Similarly, glycopeptides usage decreased by -2.61 DOT/1,000 patient-days per month in GWs (95% CI, -4.43 to -0.79; P = 0.007), and -27.41 DOT/1,000 patient-days per month in ICUs (95% CI, -47.03 to -7.79; P = 0.009). Use of 3

Indexed as

Acinetobacter baumanniiAnti-Bacterial AgentsAntimicrobial StewardshipCarbapenemsCephalosporinsDrug PrescriptionsDrug Resistance, Multiple, BacterialEnterococcus faeciumEscherichia coliFluoroquinolonesGlycopeptidesGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHospital MortalityHospitalsHumansAnti-Bacterial AgentsCarbapenemsCephalosporinsFluoroquinolonesGlycopeptides

Identifiers

PMID30283084
PMCPMC6170479
OpenAlexW2894109109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.