Evidence map›Paper›PMID 41791847›Full record

ArticleBMJ open respiratory research2026

Managing pleural infections: a nationwide survey of respiratory physicians in Singapore.

Ken Junyang Goh, Glenn Khai Wern Yong, Dipika Agrawal, Jonathan Jia Jun Wong, Clare Fong, Si Ling Young, Brian Lee Wei Chua, Qiao Li Tan, Wei Shyuan Siow, Kiran Sharma and 2 more

Abstract read
In one paragraph

Article in BMJ open respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ken Junyang GohDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore kengohwork@gmail.com.ORCID http://orcid.org/0000-0002-5243-5167
Glenn Khai Wern YongDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.
Dipika AgrawalDivision of Respiratory Medicine, Department of Medicine, Ng Teng Fong General Hospital, Singapore.
Jonathan Jia Jun WongDivision of Respiratory Medicine, Department of Medicine, Khoo Teck Puat Hospital, Singapore.
Clare FongDivision of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore.
Si Ling YoungDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.ORCID http://orcid.org/0009-0003-0131-6269
Brian Lee Wei ChuaDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.ORCID http://orcid.org/0009-0009-6072-5277
Qiao Li TanDepartment of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore.
Wei Shyuan SiowDepartment of Respiratory Medicine, Woodlands Health, Singapore.
Kiran SharmaDepartment of Respiratory Medicine, Sengkang General Hospital, Singapore.
Imran Bin Mohamed NoorDepartment of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore.
Wui Mei ChewDepartment of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPleural infection remains a major cause of morbidity and mortality, with a significant healthcare burden. Despite growing research and guideline recommendations, real-world management continues to vary widely.

methodsAn anonymous cross-sectional survey evaluating current practice was conducted among respiratory physicians across all public hospitals in Singapore. The survey examined key aspects of management, including pleural fluid diagnostics, chest drain management, surgical referral and intrapleural fibrinolytic therapy (IPFT).

results95 respondents (58% response rate) completed the survey. Only 36.8% routinely inoculate pleural fluid into both plain specimen bottles and blood culture bottles, and up to 22% used plain tubes for pH analysis. Opinions on pH-guided chest drain insertion were divided: 50.6% would always consider pH, while 43.1% did not find it useful. IPFT was regarded as first line treatment following failure of standard care (antibiotics and chest drainage) by 63.2%, while 30.5% would only administer IPFT when surgery was deemed unsuitable. Most respondents (81.0%) had used a reduced dose of tissue plasminogen activator, with 12.6% doing so for all patients. The most common reduced dose was 5 mg (73.7%), largely driven by perceived reduction in bleeding risk (64.2%). Once-daily IPFT dosing was reported by 35.8%, primarily due to logistical constraints and safety concerns related to after-hours administration. Management practices, including pleural fluid sampling for microbiology and pH, indication and timing of surgery or IPFT, and IPFT dose adjustment, varied substantially between hospitals and between individual physicians within the same hospital, with no clear association with respondent seniority. Overall key challenges cited included variation in practice (48.4%), limited after-office hours expertise (44.2%) and limited surgical support (37.9%).

conclusionsSignificant variation exists in pleural infection management across Singapore. Strengthening multidisciplinary collaboration, establishing dedicated pleural services and high-quality trials are needed to optimise care pathways.Cite Now.

Indexed as

Pleural DiseasesPleural EffusionPractice Patterns, Physicians'Anti-Bacterial AgentsChest TubesCross-Sectional StudiesDrainageFibrinolytic AgentsHumansSingaporeSurveys and QuestionnairesTissue Plasminogen ActivatorAnti-Bacterial AgentsFibrinolytic AgentsTissue Plasminogen ActivatorPleural Disease

Identifiers

PMID41791847
PMCPMC12970103

What OpenQuestion holds

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LicenceCC BY-NC
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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.