Evidence map›Paper›PMID 37724290›Full record

ArticleFrontiers in cellular and infection microbiology2023

Coinfection of SARS-CoV-2 and influenza A (H3N2) detected in bronchoalveolar lavage fluid of a patient with long COVID using metagenomic next-generation sequencing: a case report.

Xuefei Liang, Qiushi Wang, Jia Liu, Jing Ma, Yajuan Zhang, Meng Wang, Yang Yu, Linlin Wang

Abstract readCase Reports
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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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

8 authors.

Xuefei LiangDepartment of Respiratory and Critical Care Medicine, Sinopharm North Hospital, Baotou, China.
Qiushi WangInfection Business Unit, Tianjin Novogene Med LAB Co., Ltd., Tianjin, China.
Jia LiuInfection Business Unit, Tianjin Novogene Med LAB Co., Ltd., Tianjin, China.
Jing MaDepartment of Respiratory and Critical Care Medicine, Sinopharm North Hospital, Baotou, China.
Yajuan ZhangDepartment of Respiratory and Critical Care Medicine, Sinopharm North Hospital, Baotou, China.
Meng WangInfection Business Unit, Tianjin Novogene Med LAB Co., Ltd., Tianjin, China.
Yang YuInfection Business Unit, Tianjin Novogene Med LAB Co., Ltd., Tianjin, China.
Linlin WangDepartment of Respiratory and Critical Care Medicine, Sinopharm North Hospital, Baotou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing number of long COVID cases has drawn clinical attention to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has been spreading worldwide since winter 2019. Its symptoms are not limited to fatigue and shortness of breath but also affect daily life. We report the use of metagenomic next-generation sequencing (mNGS) to detect coinfection with SARS-CoV-2 and influenza A virus in a patient with long COVID. The patient was admitted with fever, expectoration, fatigue, and shortness of breath. The PCR test was negative due to possible clearance of SARS-Cov-2 in the upper respiratory tract of patients with long COVID. Other routine microbiological tests were also negative, making the clinical diagnosis difficult. Bronchoalveolar lavage fluid (BALF) samples were tested using mNGS. The patient was diagnosed and treated promptly, recovered quickly, and continued taking azvudine after discharge; his condition was stable. This study illustrates that mNGS may be valuable for the timely diagnosis of patients with long COVID and their mixed infections.

Indexed as

CoinfectionCOVID-19Influenza, HumanBronchoalveolar Lavage FluidDyspneaFatigueHigh-Throughput Nucleotide SequencingHumansInfluenza A Virus, H3N2 SubtypePost-Acute COVID-19 SyndromeSARS-CoV-2BALFCoinfectiondiagnoseH3N2long COVIDmetagenomic next-generation sequencingSARS-CoV-2

Identifiers

PMID37724290
PMCPMC10505437

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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.