Evidence map›Paper›PMID 40949832›Full record

ArticleInfection and drug resistance2025

Metagenomic Next-Generation Sequencing Reveals

Na Guo, Guannan Ma, Huimin Liu, Jingxuan Qiu, Yan Yu, Yunlei Gao, Zhong Yi, Zhirong Wan, Lei Zhang, Xiaorui Wu

Abstract readCase Reports
In one paragraph

Article in Infection and drug resistance, 2025. 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

10 authors.

Na Guo *Department of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Guannan Ma *Medical Research Center, Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, People's Republic of China.
Huimin LiuDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Jingxuan QiuDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Yan YuDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Yunlei GaoDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Zhong YiDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Zhirong WanDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Lei ZhangMedical Research Center, Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, People's Republic of China.
Xiaorui WuDepartment of Respiratory and Critical Care Medicine, Aerospace Center Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe pneumonia with empyema in elderly patients presents diagnostic and therapeutic challenges. Traditional culture methods often fail to identify the causative pathogen, leading to delays in targeted treatment. Metagenomic next-generation sequencing (mNGS) has emerged as a powerful tool for detecting rare and fastidious pathogens. Case Presentation: We report a 77-year-old male with a history of chronic smoking and alcohol consumption who presented with a two-month history of cough, sputum production, and progressive dyspnea. His condition rapidly deteriorated with high fever and respiratory failure. Initial antibiotic therapy was ineffective, and multiple cultures of blood, sputum, and pleural fluid were negative. However, mNGS of blood and pleural fluid identified Conclusion: This case highlights the clinical utility of mNGS in diagnosing culture-negative pulmonary infections.

Indexed as

case reportempyemametagenomic next-generation sequencingPorphyromonas gingivalissevere pneumonia

Identifiers

PMID40949832
PMCPMC12433199

What OpenQuestion holds

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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.