Evidence map›Paper›PMID 39812555›Full record

Observational studyMicrobiology spectrum2025

Evaluating the feasibility, sensitivity, and specificity of next-generation molecular methods for pleural infection diagnosis.

Peter T Bell, Timothy Baird, John Goddard, Olusola S Olagoke, Andrew Burke, Shradha Subedi, Tiana R Davey, James Anderson, Derek S Sarovich, Erin P Price

Abstract readEvaluation StudyObservational Study
In one paragraph

Observational study in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The Clinical Significance ofOpen forum infectious diseases · 2026
    Article
  2. What is new in pleural infections?Breathe (Sheffield, England) · 2026
    Review
  3. 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

10 authors.

Peter T Bell *Department of Respiratory Medicine, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Timothy Baird *Department of Respiratory Medicine, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
John GoddardDepartment of Respiratory Medicine, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Olusola S OlagokeSunshine Coast Health Institute, Birtinya, Queensland, Australia.
Andrew BurkeFaculty of Medicine, University of Queensland, Herston, Queensland, Australia.
Shradha SubediSunshine Coast Health Institute, Birtinya, Queensland, Australia.
Tiana R DaveySunshine Coast Health Institute, Birtinya, Queensland, Australia.
James AndersonDepartment of Respiratory Medicine, Sunshine Coast University Hospital, Birtinya, Queensland, Australia.
Derek S Sarovich *Sunshine Coast Health Institute, Birtinya, Queensland, Australia.ORCID 0000-0002-6944-3980
Erin P Price *Sunshine Coast Health Institute, Birtinya, Queensland, Australia.ORCID 0000-0002-1079-4882

Funding

State of Queensland | Advance Queensland (AdvanceQld) AQIRF0362018State of Queensland | Advance Queensland (AdvanceQld) AQIRF095-2020-CVWishlist (Wishlist Inc.) 2021-04-CRG
6 · The paper itself

Abstract

Pleural infections are common and associated with substantial healthcare costs, morbidity, and mortality. Accurate diagnosis remains challenging due to low culture positivity rates, frequent polymicrobial involvement, and non-specific diagnostic biomarkers. Here, we undertook a prospective study examining the feasibility and performance of molecular methods for diagnosing suspected pleural infection. We prospectively characterized 26 consecutive clinically suspected pleural infections, and 10 consecutive patients with suspected non-infective pleural effusions, using shotgun metagenomics, bacterial metataxonomics, quantitative PCR, and conventional culture. Molecular methods exhibited excellent diagnostic performance, with each method identifying 54% (14 out of 26) positive cases among the pleural infection cohort, versus 38% (10 out of 26) with culture. Metagenomics and bacterial metataxonomics unveiled complex polymicrobial infections that were not captured by culture. Dominant microbes included streptococci (

Indexed as

Bacterial InfectionsEmpyema, PleuralMetagenomicsMicrobiological TechniquesMycosesAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPilot ProjectsSensitivity and Specificityempyemahigh-throughput sequencingmetagenomicsmicrobiomeparapneumonic effusionpleural infection

Identifiers

PMID39812555
PMCPMC11792517

What OpenQuestion holds

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LicenceCC BY
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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.