Evidence map›Paper›PMID 23958109›Full record

Observational studyBMC health services research2013

The TARGET cohort study protocol: a prospective primary care cohort study to derive and validate a clinical prediction rule to improve the targeting of antibiotics in children with respiratory tract illnesses.

Niamh M Redmond, Rachel Davies, Hannah Christensen, Peter S Blair, Andrew M Lovering, John P Leeming, Peter Muir, Barry Vipond, Hannah Thornton, Margaret Fletcher and 6 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC health services research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Trial
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  5. [What is confirmed in the treatment of sepsis? : An update].Innere Medizin (Heidelberg, Germany) · 2024
    Review
  6. Article
  7. Parental and clinician agreement of illness severity in children with RTIs: secondary analysis of data from a prospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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  13. Use of mobile phones to improve follow-up rates.Malawi medical journal : the journal of Medical Association of Malawi · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Research into practice: acutely ill children.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
    Review
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

16 authors.

Niamh M RedmondCentre for Academic Primary Care, School of Social and Community Based Medicine, NIHR School of Primary Care Research, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, UK. niamh.redmond@bristol.ac.uk.
Rachel Davies
Hannah Christensen
Peter S Blair
Andrew M Lovering
John P Leeming
Peter Muir
Barry Vipond
Hannah Thornton
Margaret Fletcher
Brendan Delaney
Paul Little
Matthew Thompson
Tim J Peters
Alastair D Hay
TARGET team

Funding

Department of Health CDF-2009-02-10Department of Health RP-PG-0608-10018Medical Research Council G0800800
6 · The paper itself

Abstract

backgroundChildren with respiratory tract infections are the single most frequent patient group to make use of primary care health care resources. The use of antibiotics remains highly prevalent in young children, but can lead to antimicrobial resistance as well as reinforcing the idea that parents should re-consult for similar symptoms. One of the main drivers of indiscriminate antimicrobial use is the lack of evidence for, and therefore uncertainty regarding, which children are at risk of poor outcome. This paper describes the protocol for the TARGET cohort study, which aims to derive and validate a clinical prediction rule to identify children presenting to primary care with respiratory tract infections who are at risk of hospitalisation. METHODS/

designThe TARGET cohort study is a large, multicentre prospective observational study aiming to recruit 8,300 children aged ≥3 months and <16 years presenting to primary care with a cough and respiratory tract infection symptoms from 4 study centres (Bristol, London, Oxford and Southampton). Following informed consent, symptoms, signs and demographics will be measured. In around a quarter of children from the Bristol centre, a single sweep, dual bacterial-viral throat swab will be taken and parents asked to complete a symptom diary until the child is completely well or for 28 days, whichever is sooner. A review of medical notes including clinical history, re-consultation and hospitalisations will be undertaken. Multivariable logistic regression will be used to identify the independent clinical predictors of hospitalisation as well as the prognostic significance of upper respiratory tract microbes. The clinical prediction rule will be internally validated using various methods including bootstrapping. DISCUSSION: The clinical prediction rule for hospitalisation has the potential to help identify a small group of children for hospitalisation and a much larger group where hospitalisation is very unlikely and antibiotic prescribing would be less warranted. This study will also be the largest natural history study to date of children presenting to primary care with acute cough and respiratory tract infections, and will provide important information on symptom duration, re-consultations and the microbiology of the upper respiratory tract.

Indexed as

Decision Support TechniquesAdolescentAnti-Bacterial AgentsChildChild, PreschoolClinical ProtocolsHumansInfantPharynxPrimary Health CareProspective StudiesRespiratory Tract InfectionsRisk FactorsAnti-Bacterial Agents

Identifiers

PMID23958109
PMCPMC3765099

What OpenQuestion holds

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Registered trials

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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.