Evidence map›Paper›PMID 32792425›Full record

ArticleBMJ open2020

Assessment of the impact of a new sequential approach to antimicrobial use in young febrile children in the emergency department (DIAFEVERCHILD): a French prospective multicentric controlled, open, cluster-randomised, parallel-group study protocol.

Gaelle Hubert, Elise Launay, Cécile Feildel Fournial, Anne Chauvire-Drouard, Fleur Lorton, Elsa Tavernier, Bruno Giraudeau, Christele Gras Le Guen

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 NCT03607162 (Impact of a New Sequential Approach on Antimicrobial Use in Young Children With Fever Without Source in Emergency Department), 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.

NCT03607162 nacompletednot on this map

Impact of a New Sequential Approach on Antimicrobial Use in Young Children With Fever Without Source in Emergency Department

TypeinterventionalSponsorNantes University HospitalRan2018 to 2021Enrolled4,928ConditionsFever Without SourceArmsDIAFEVER algorithm
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Gaelle HubertPaediatrics Emergency Department, CHU Nantes, Nantes, France gaelle.hubert@chu-nantes.fr.ORCID 0000-0001-9580-3233
Elise LaunayGeneral Paediatrics Department, CHU Nantes, Nantes, France.
Cécile Feildel FournialPaediatrics Emergency Department, CHU Nantes, Nantes, France.
Anne Chauvire-DrouardClinical Research Department, Clinical Investigation Center Femme Enfant Adolescent-1413 INSERM, CHU Nantes, Nantes, France.
Fleur LortonPaediatrics Emergency Department, CHU Nantes, Nantes, France.
Elsa TavernierBiostatistics Department, Clinical Investigation Center-1415 INSERM, CHU Tours, Tours, France.
Bruno GiraudeauBiostatistics Department, Clinical Investigation Center-1415 INSERM, CHU Tours, Tours, France.
Christele Gras Le GuenPaediatrics Emergency Department, CHU Nantes, Nantes, France.
Inserm · FRCentre Hospitalier Universitaire de Nantes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFever is one of the most common reasons for consultation in the paediatric emergency department (ED). Because of fear of bacterial infection in parents and caregivers, clinicians often overprescribe laboratory tests and empirical antibiotic treatment. The aims of this study are to demonstrate that using a procalcitonin (PCT) rapid test-based prediction rule (1) would not be inferior to usual practice in terms of morbidity and mortality (non-inferiority objective) and (2) would result in a significant reduction in antibiotic use (superiority objective). METHODS AND ANALYSIS: This prospective multicentric cluster-randomised study aims to include 7245 febrile children aged 6 days to 3 years with a diagnosis of fever without source in 26 participating EDs in France and Switzerland during a 24-month period. During first period, all children will receive usual care. In a second period, a point-of-care PCT-based algorithm will be used in half of the clusters. The primary endpoints collected on day 15 after ED consultation will be a composite outcome of death or intensive care unit admission for any reason, disease-specific complications, diagnosis of bacterial infection after discharge from the ED for the non-inferiority objective and proportion of children with antibiotic treatment administered for the superiority objective. The endpoints will be compared between the two groups (experimental and control) by using a mixed logistic regression model adjusted on clustering of participants within centres and period within centres. DISCUSSION: If the algorithm is validated, a new strategy will be discussed with medical societies to safely manage fever in young children without the need for invasive procedures for microbiological testing or empirical antibiotics. ETHICS AND DISSEMINATION: This study was submitted to an independent ethics committee on 17 May 2018 (no. 2018-A00252-53). Results will be submitted to international peer-reviewed journals and presented at international conferences. TRIAL REGISTRATION NUMBER: NCT03607162; Pre-results.

Indexed as

Anti-Bacterial AgentsEmergency Service, HospitalBiomarkersChildChild, PreschoolFranceHumansMulticenter Studies as TopicProspective StudiesRandomized Controlled Trials as TopicSwitzerlandAnti-Bacterial AgentsBiomarkerscluster-randomised studyfever without sourceinvasive bacterial infectionpaediatric emergency departementsprocalcitonin based algorithmprocalcitonin rapid test

Identifiers

PMID32792425
PMCPMC7430445
OpenAlexW3049007753

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.