Evidence map›Paper›PMID 35549921›Full record

SynthesisBMC pulmonary medicine2022

Biomarkers to guide the use of antibiotics for acute exacerbations of COPD (AECOPD): a systematic review and meta-analysis.

George Hoult, David Gillespie, Tom M A Wilkinson, Mike Thomas, Nick A Francis

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06929767 (Biomarker Guided Decision-making in Acute Exacerbation of COPD), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% 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.

NCT06929767 phase4not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Biomarker Guided Decision-making in Acute Exacerbation of COPD: a Feasibility Study

TypeinterventionalSponsorOttawa Hospital Research InstituteRan2025 to 2026Enrolled80ConditionsChronic Obstructive Pulmonary Disease, COPD, Exacerbation of COPD, AECOPDArmsbiomarker-guided decision making, GOLD recommendations
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  20. Prognostic Value of Biomarkers in Chronic Obstructive Pulmonary Disease: A Comprehensive Review.International journal of chronic obstructive pulmonary disease · 2025
    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

5 authors at 3 institutions in 1 country.

George HoultCardiff University School of Medicine, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK.
David GillespieNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Tom M A WilkinsonClinical and Experimental Sciences, Faculty of Medicine, Southampton General Hospital, Southampton University, Mailpoint 810, Level F, South Block, Southampton, SO16 6YD, UK.
Mike ThomasPrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Aldermoor Health Centre, Faculty of Medicine, University of Southampton, Aldermoor Close, Southampton, SO16 5ST, UK.
Nick A FrancisPrimary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Aldermoor Health Centre, Faculty of Medicine, University of Southampton, Aldermoor Close, Southampton, SO16 5ST, UK. Nick.Francis@soton.ac.uk.
Cardiff University · GBUniversity of Southampton · GBSouthampton General Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotics are frequently prescribed for acute exacerbations of COPD (AECOPD) even though most do not have a bacterial aetiology. Biomarkers may help clinicians target antibiotic use by identifying AECOPD caused by bacterial pathogens. We aimed to summarise current evidence on the diagnostic accuracy of biomarkers for detecting bacterial versus non-bacterial AECOPD.

methodsWe searched Embase and Medline using a search strategy including terms for COPD, biomarkers and bacterial infection. Data regarding diagnostic accuracy for each biomarker in predicting bacterial cause of exacerbation were extracted and summarised. We used to QUADAS-2 tool to assess risk of bias.

resultsOf 509 papers identified, 39 papers evaluating 61 biomarkers were eligible for inclusion. Moderate quality evidence was found for associations between serum C-reactive protein (CRP), serum procalcitonin (PCT), sputum interleukin (IL)-8 and sputum tumour necrosis factor alpha (TNF-α), and the presence of bacterial pathogens in the sputum of patients with AECOPD. Having bacterial pathogens was associated with a mean difference (higher) CRP and PCT of 29.44 mg/L and 0.76 ng/mL respectively. There was inconsistent or weak evidence for associations between bacterial AECOPD and higher levels of sputum IL-1β, IL-6, myeloperoxidase (MPO) and neutrophil elastase (NE). We did not find any consistent evidence of diagnostic value for other biomarkers.

conclusionsThere is moderate evidence from heterogeneous studies that serum CRP and PCT are of value in differentiating bacterial from non-bacterial AECOPD, and little evidence for other biomarkers. Further high-quality research on the role of biomarkers in identifying bacterial exacerbations is needed.

Indexed as

Anti-Bacterial AgentsPulmonary Disease, Chronic ObstructiveBacteriaBiomarkersC-Reactive ProteinDisease ProgressionHumansProcalcitoninAnti-Bacterial AgentsBiomarkersC-Reactive ProteinProcalcitoninAntibioticsBiomarkersCOPDExacerbationInfectionSystematic review

Identifiers

PMID35549921
PMCPMC9101830
OpenAlexW4280526250

What OpenQuestion holds

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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.