Evidence map›Paper›PMID 33243799›Full record

ArticleBMJ open2020

Open-label, single-centre, cluster-randomised controlled trial to Evaluate the Potential Impact of Computerisedantimicrobial stewardship (EPIC) on the antimicrobial use after cardiovascular surgeries: EPIC trial study original protocol.

Xin Yuan, Kai Chen, Wei Zhao, Shuang Hu, Fei Yu, Xiaolin Diao, Xingwei Chen, Shengshou Hu

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04328090 (Evaluation of the Potential Impact of Computerized Antimicrobial Stewardship on the Antimicrobial Use After Cardiovascular Surgeries), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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.

NCT04328090 nacompletednot on this map

Evaluation of the Potential Impact of Computerized Antimicrobial Stewardship on the Antimicrobial Use After Cardiovascular Surgeries

TypeinterventionalSponsorChina National Center for Cardiovascular DiseasesRan2020 to 2021Enrolled2,473ConditionsAntimicrobial Stewardship, Cardiovascular Surgeries, Computerized Decision Support System, Coronary Artery DiseaseArmsComputer based Antimicrobial stewardship (AMS) intervention system
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Machine Learning and Antibiotic Management.Antibiotics (Basel, Switzerland) · 2022
    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

8 authors at 1 institution in 1 country.

Xin Yuan *State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Beijing, China.
Kai Chen *State Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Beijing, China.ORCID 0000-0002-3045-7955
Wei ZhaoInformation Centre, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Shuang HuNational Clinical Research Centre of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei YuInformation Centre, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xiaolin DiaoInformation Centre, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Xingwei ChenDepartment of Pharmacy, Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Shengshou HuState Key Laboratory of Cardiovascular Disease, National Centre for Cardiovascular Diseases, Beijing, China huss@fuwaihospital.org.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInappropriate antimicrobial use increases the prevalence of antimicrobial-resistant bacteria. Surgeons are reluctant to implement recommendations of guidelines in clinical practice. Antimicrobial stewardship (AMS) is effective in antimicrobial management, but it remains labour intensive. The computerised decision support system (CDSS) has been identified as an effective way to enable key elements of AMS in clinical settings. However, insufficient evidence is available to evaluate the efficacy of computerised AMS in surgical settings. METHODS AND ANALYSIS: The Evaluate of the Potential Impact of Computerised AMS trial is an open-label, single-centre, two-arm, cluster-randomised, controlled trial, which aims to determine whether a multicomponent CDSS intervention reduces overall antimicrobial use after cardiovascular surgeries compared with usual clinical care in a specialty hospital with a big volume of cardiovascular surgeries. Eighteen cardiovascular surgical teams will be randomised 1:1 to either the intervention or the control arm. The intervention will consist of (1) re-evaluation alerts and decision support for the duration of antimicrobial treatment decision, (2) re-evaluation alerts and decision support for the choice of antimicrobial, (3) quality control audit and feedback. The primary outcome will be the overall systemic antimicrobial use measured in days of therapy (DOT) per admission and DOT per 1000 patient-days over the whole intervention period (6 months). Secondary outcomes include a series of indices to evaluate antimicrobial use, microbial resistance, perioperative infection outcomes, patient safety, resource consumption, and user compliance and satisfaction. ETHICS AND DISSEMINATION: The Ethics Committee in Fuwai Hospital approved this study (2020-1329). The results of the trial will be submitted for publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT04328090.

Indexed as

Anti-Infective AgentsAntimicrobial StewardshipAnti-Bacterial AgentsFeedbackHospitalsHumansRandomized Controlled Trials as TopicAnti-Bacterial AgentsAnti-Infective Agentsadult cardiologycardiac surgeryclinical trials

Identifiers

PMID33243799
PMCPMC7692825
OpenAlexW3107669772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.