Evidence map›Paper›PMID 39717063›Full record

ArticleInfection and drug resistance2024

Clinical Application of Metagenomic Next-Generation Sequencing (mNGS) in Patients with Early Pulmonary Infection After Liver Transplantation.

Hua-Bin Peng, Ying Liu, Fei Hou, Shuang Zhao, Yi-Zhi Zhang, Zhi-Ying He, Jing-Yi Liu, Hao-Feng Xiong, Li-Ying Sun

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Hua-Bin PengDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0006-8413-2378
Ying LiuDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Fei HouDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Shuang ZhaoDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Yi-Zhi ZhangDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Zhi-Ying HeDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Jing-Yi LiuDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Hao-Feng XiongDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Li-Ying SunDepartment of Critical Liver Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the clinical utility of metagenomic next-generation sequencing (mNGS) in individuals with early pulmonary infection following liver transplantation. Patients and Methods: mNGS and traditional detection results were retrospectively collected from 99 patients with pulmonary infection within one week following liver transplantation. These patients were admitted to the Department of Critical Liver Diseases at Beijing Friendship Hospital from February 2022 to February 2024, along with their general clinical data. Results: mNGS exhibited a significantly higher detection rate than traditional methods (92.93% vs 54.55%, P < 0.05) and was more effective in identifying mixed infections (67.68% vs 14.81%, P < 0.05). mNGS identified 303 pathogens in 92 patients, with Conclusion: mNGS offers rapid detection, a high positivity rate, insensitivity to antibiotics, and a superior ability to detect mixed infections in patients with early post-transplant pulmonary infections. Additionally, mNGS shows good consistency with traditional culture and can predict drug-resistant phenotypes to guide targeted antibiotic therapy for early-stage post-transplant pulmonary infection after liver transplantation. Patients whose antibiotic therapy is based on mNGS results have experienced decreased mortality rates and overall improved prognosis.

Indexed as

Clinical valueLiver transplantationMetagenomic next-generation sequencingPulmonary infection

Identifiers

PMID39717063
PMCPMC11665138

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