Evidence map›Paper›PMID 42549146›Full record

ArticleERJ open research2026

Assessment of a bacterial quantification assay to detect and monitor

Daniela Alferes de Lima Headley, Adam J Bell, Rebecca C Hull, Marie-Jeanne H C Kempen, Migle Young, Chandani Hennayake, Qingyou Du, Rachel Galloway, Eve McIntosh, Zsofia Eke and 20 more

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

30 authors.

Daniela Alferes de Lima HeadleyDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.ORCID https://orcid.org/0000-0002-5125-1657
Adam J BellLifeArc, Edinburgh, UK.
Rebecca C HullDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Marie-Jeanne H C KempenLifeArc, Edinburgh, UK.
Migle YoungLifeArc, Edinburgh, UK.
Chandani HennayakeDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Qingyou DuDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Rachel GallowayDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Eve McIntoshDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Zsofia EkeDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Hollian RichardsonDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Merete B LongDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.
Sarah Williams-MacdonaldLifeArc, Edinburgh, UK.
Hazel BuchananLifeArc, Edinburgh, UK.
Edward MountjoyLifeArc, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0626-1821
Mateja SborchiaLifeArc, Edinburgh, UK.
Pawlina DandLifeArc, Edinburgh, UK.
Daniel L HalliganLifeArc, Edinburgh, UK.
James A LongLifeArc, Edinburgh, UK.ORCID https://orcid.org/0000-0002-8063-9167
Maia Kavanagh WilliamsonLifeArc, Edinburgh, UK.ORCID https://orcid.org/0000-0002-4659-8613
Georgina VernonLifeArc, Edinburgh, UK.
Declan Fawcett-GibsonLifeArc, Edinburgh, UK.
Daniel De VegaLifeArc, Edinburgh, UK.
Oriol SibilaPneumology Service, Hospital Clinic, IDIBAPS, CIBERES, University of Barcelona, Barcelona, Spain.
Stefano AlibertiDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.ORCID https://orcid.org/0000-0002-0090-4531
Charles S HaworthCambridge Centre for Lung Infection, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK.
Rachel DakinLifeArc, Edinburgh, UK.
Rebecca HolmesLifeArc, Edinburgh, UK.
Carolyn ClarkeLifeArc, Edinburgh, UK.
James D ChalmersDivision of Respiratory Medicine and Gastroenterology, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A novel bacterial quantification assay (BQA) targeting ribosomal RNA (rRNA) for the detection of viable PA was developed. The BQA sensitivity and specificity in patient samples was assessed utilising culture (n=57), as well as BioFire pneumonia panel (n=111) and 16S rRNA gene sequencing (n=62). The potential clinical impact of the BQA in clinical settings was explored using two international patient cohorts. Results: The BQA detected PA in 100% of samples where PA was identified by other methods. The BQA quantification was positively correlated with quantitative culture (r=0.42; p<0.001) and BioFire (r=0.68; p<0.001). The BQA identified PA in an additional 23-44% of cases. To evaluate if this increased detection had clinical implications, we tested sputum samples considered to be PA negative by culture in patients who subsequently tested positive for PA. The BQA detected PA in 8 out of 20 patient samples 8-484 days prior to primary detection by culture. In patients considered to have successful PA eradication by culture, the BQA detected PA in 13 samples from 27 patients who went on to relapse. Conclusions: The BQA is a highly sensitive detection and quantification method for PA. The BQA demonstrated improved detection and treatment monitoring compared to culture, identifying patients who went on to either isolate a first PA or relapse.

Identifiers

PMID42549146
PMCPMC13430582

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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.