Evidence map›Paper›PMID 34980633›Full record

ArticleBMJ open2022

Antibiotic prescribing rate after optimal near-patient C-reactive protein testing in acutely ill children presenting to ambulatory care (ARON project): protocol for a cluster-randomized pragmatic trial.

Jan Yvan Jos Verbakel, Tine De Burghgraeve, Ann Van den Bruel, Samuel Coenen, Sibyl Anthierens, Louise Joly, Annouschka Laenen, Jeroen Luyten, An De Sutter

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

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04470518 (Impact of a Diagnostic Algorithm on Antibiotic Prescribing Rate and Further Management of Acutely Ill Children Presenting to Ambulatory Care), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 23% 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.

NCT04470518 nacompletednot on this map

Impact of a Diagnostic Algorithm on Antibiotic Prescribing Rate and Further Management of Acutely Ill Children Presenting to Ambulatory Care: Multicentre, Cluster-randomized, Parallel Group Pragmatic Trial

TypeinterventionalSponsorKU LeuvenRan2021 to 2024Enrolled6,750ConditionsInfectionArmsdiagnostic algorithm
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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  6. Observational
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

9 authors at 6 institutions in 2 countries.

Jan Yvan Jos VerbakelDepartment of Public Health and Primary Care, Academic Centre for General Practice, EPI-Centre, KU Leuven, Leuven, Belgium jan.verbakel@kuleuven.be.ORCID 0000-0002-7166-7211
Tine De BurghgraeveDepartment of Public Health and Primary Care, Academic Centre for General Practice, EPI-Centre, KU Leuven, Leuven, Belgium.
Ann Van den BruelDepartment of Public Health and Primary Care, Academic Centre for General Practice, EPI-Centre, KU Leuven, Leuven, Belgium.
Samuel CoenenDepartment of Family Medicine & Population Health (FAMPOP), University of Antwerp, Wilrijk, Belgium.ORCID 0000-0002-1238-8052
Sibyl AnthierensDepartment of Family Medicine & Population Health (FAMPOP), University of Antwerp, Wilrijk, Belgium.
Louise JolyResearch Unit Primary Care and Health, Department of General Practice, Department of Clinical Sciences, University of Liege, Liege, Belgium.
Annouschka LaenenLeuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), KU Leuven, Leuven, Belgium.
Jeroen LuytenLeuven Institute for Healthcare Policy, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
An De SutterDepartment of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Department of Family Medicine & Health Policy, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
KU Leuven · BEUniversity of Antwerp · BEGhent University · BEStatistics Belgium · BEUniversity of Liège · BEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildren become ill quite often, mainly because of infections, most of which can be managed in the community. Many children are prescribed antibiotics which contributes to antimicrobial resistance and reinforces health-seeking behaviour. Point-of-care C reactive protein (POC CRP) testing, prescription guidance and safety-netting advice can help safely reduce antibiotic prescribing to acutely ill children in ambulatory care as well as save costs at a systems level. METHODS AND ANALYSIS: The ARON ( ETHICS AND DISSEMINATION: The study will be conducted in compliance with the principles of the Declaration of Helsinki (current version), the principles of Good Clinical Practice and in accordance with all applicable regulatory requirements. Ethics approval for this study was obtained on 10 November 2020 from the Ethics Committee Research of University Hospitals Leuven under reference S62005. We will ensure that the findings of the study will be disseminated to relevant stakeholders other than the scientific world including the public, healthcare providers and policy-makers. The process evaluation that is part of this trial may provide a basis for an implementation strategy. If our intervention proves to be clinically and cost-effective, it will be essential to educate physicians about introducing the diagnostic algorithm including POC CRP testing and safety-netting advice in their daily practice. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT04470518. Protocol V.2.0 date 2 October 2020. (Pre-results).

Indexed as

Anti-Bacterial AgentsC-Reactive ProteinAmbulatory CareChildEquivalence Trials as TopicHumansPoint-of-Care SystemsPoint-of-Care TestingPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicAnti-Bacterial AgentsC-Reactive Proteinhealth economicsinfectious diseasespaediatrics

Identifiers

PMID34980633
PMCPMC8724812
OpenAlexW4205831144

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.