Evidence map›Paper›PMID 39882879›Full record

ArticleMicrobiology spectrum2025

Comparing sputum, nasopharyngeal swabs, and combined samples for respiratory bacterial detection using multiplex PCR.

Keun Ju Kim, Seung Gyu Yun, Myung-Hyun Nam, Chang Kyu Lee, Yunjung Cho

Abstract readComparative Study
In one paragraph

Article 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. Review
  2. Article
  3. 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

5 authors.

Keun Ju KimDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.ORCID 0000-0003-2548-5609
Seung Gyu YunDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Myung-Hyun NamDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Chang Kyu LeeDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.
Yunjung ChoDepartment of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory tract infections are major global health issues that require rapid and accurate diagnostic methods. Multiplex quantitative PCR (qPCR) is commonly used for pathogen detection in respiratory samples. However, the optimal specimen selection for detecting bacterial pathogens is not well-explored. We evaluated the detection rates of respiratory bacteria from nasopharyngeal swabs (NPS), sputum, and combined NPS and sputum samples using multiplex qPCR (Allplex PneumoBacter Assay, Seegene). Paired NPS and sputum samples from 219 patients with acute respiratory symptoms admitted to Korea University Anam Hospital were analyzed. qPCR was performed to detect seven respiratory bacteria: IMPORTANCE: This study offers important insights into refining diagnostic strategies for respiratory bacterial infections using multiplex PCR. This study finds that combining sputum and nasopharyngeal swabs into a single tube could serve as an effective alternative for detecting respiratory bacteria in adults with acute respiratory illness.

Indexed as

BacteriaBacterial InfectionsMultiplex Polymerase Chain ReactionNasopharynxRespiratory Tract InfectionsSputumAdultAgedFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesRepublic of KoreaSensitivity and SpecificityYoung Adultcombined samplesdiagnosisqPCRrespiratory bacteriasputum

Identifiers

PMID39882879
PMCPMC11878093

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.