Evidence map›Paper›PMID 25624310›Full record

SynthesisThe British journal of general practice : the journal of the Royal College of General Practitioners2015

Clinical presentation and microbiological diagnosis in paediatric respiratory tract infection: a systematic review.

Hannah V Thornton, Peter S Blair, Andrew M Lovering, Peter Muir, Alastair D Hay

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Assessing the potential of upper respiratory tract point-of-care testing: a systematic review of the prognostic significance of upper respiratory tract microbes.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2019
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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

5 authors at 3 institutions in 2 countries.

Hannah V ThorntonCentre for Academic Primary Care, School of Social and Community Medicine, NIHR School of Primary Care Research, University of Bristol, Bristol.
Peter S BlairCentre for Academic Primary Care, School of Social and Community Medicine, NIHR School of Primary Care Research, University of Bristol, Bristol.
Andrew M LoveringBristol Centre for Antimicrobial Research and Evaluation (BCARE), North Bristol NHS Trust, Southmead Hospital, Bristol, Bristol.
Peter MuirSpecialist Virology Centre, Public Health Laboratory Bristol, Public Health England, Bristol, Bristol.
Alastair D HayCentre for Academic Primary Care, School of Social and Community Medicine, NIHR School of Primary Care Research, University of Bristol, Bristol.
Primary Health Care · QABristol City Council · GBNorth Bristol NHS Trust · GB

Funding

Department of Health CDF-2009-02-10Department of Health NIHR-RP-02-12-012Department of Health RP-PG-0608-10018
6 · The paper itself

Abstract

backgroundAntibiotic prescribing decisions for respiratory tract infection (RTI) in primary care could be improved if clinicians could target bacterial infections. However, there are currently no evidence-based diagnostic rules to identify microbial aetiology in children presenting with acute RTIs.

aimTo analyse evidence of associations between clinical symptoms or signs and detection of microbes from the upper respiratory tract (URT) of children with acute cough. DESIGN AND

settingSystematic review and meta-analysis.

methodA literature search identified articles reporting relationships between individual symptoms and/or signs, and microbes detected from URT samples. Associations between pathogens and symptoms or signs were summarised, and meta-analysis conducted where possible.

resultsThere were 9984 articles identified, of which 28 met inclusion criteria. Studies identified 30 symptoms and 41 signs for 23 microbes, yielding 1704 potential associations, of which only 226 (13%) have presently been investigated. Of these, relevant statistical analyses were presented for 175 associations, of which 25% were significant. Meta-analysis demonstrated significant relationships between respiratory syncytial virus (RSV) detection and chest retractions (pooled odds ratio [OR] 1.9, 95% confidence interval [CI] = 1.6 to 2.3), wheeze (pooled OR 1.7, 95% CI = 1.5 to 2.0), and crepitations/crackles (pooled OR 1.7, 95% CI = 1.3 to 2.2).

conclusionsThere was an absence of evidence for URT pathogens other than RSV. The meta-analysis identified clinical signs associated with RSV detection, suggesting clinical presentation may offer some, albeit poor, diagnostic value. Further research is urgently needed to establish the value of symptoms and signs in determining microbiological aetiology and improve targeting of antibiotics in primary care.

Indexed as

BacteriaChildHumansRespiratory MucosaRespiratory Tract Infectionschilddiagnosismicrobiologypoint-of-care systemsprimary health carerespiratory tract infections

Identifiers

PMID25624310
PMCPMC4325442
OpenAlexW1971637388

What OpenQuestion holds

Textmetadata
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.