Evidence map›Paper›PMID 37436163›Full record

ArticleMicrobiology spectrum2023

Microbiomes Detected by Bronchoalveolar Lavage Fluid Metagenomic Next-Generation Sequencing among HIV-Infected and Uninfected Patients with Pulmonary Infection.

Yuting Tan, Zhong Chen, Ziwei Zeng, Songjie Wu, Jie Liu, Shi Zou, Min Wang, Ke Liang

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
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

22 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Yuting Tan *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zhong Chen *Department of Infection and Immunology, The First Hospital of Changsha City, Changsha, China.ORCID 0000-0002-2332-6172
Ziwei Zeng *Graduate Collaborative Training Base of the First Hospital of Changsha, Hengyang Medical School, University of South China, Hengyang, China.
Songjie WuWuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.
Jie LiuDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Shi ZouDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Min WangDepartment of Infection and Immunology, The First Hospital of Changsha City, Changsha, China.
Ke LiangDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-0490-5328
Wuhan University · CNThe First Hospital of Changsha · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparison of lung microbiomes between HIV-infected and uninfected patients with pulmonary infection by metagenomic next-generation sequencing (mNGS) has not been described in China. The lung microbiomes detected in bronchoalveolar fluid (BALF) by mNGS among HIV-infected and uninfected patients with pulmonary infection were reviewed in the First Hospital of Changsha between January 2019 and June 2022. In total, 476 HIV-infected and 280 uninfected patients with pulmonary infection were enrolled. Compared with HIV-uninfected patients, the proportions of Mycobacterium (

Indexed as

HIV InfectionsMicrobiotaPneumoniaBronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingHumansMetagenomicsbronchoalveolar fluidHIVhuman immunodeficiency virusmNGSpulmonary infection

Identifiers

PMID37436163
PMCPMC10434007
OpenAlexW4383999099

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.