Evidence map›Paper›PMID 36569204›Full record

ArticleFrontiers in cellular and infection microbiology2022

Metagenomic next-generation sequencing shotgun for the diagnosis of infection in connective tissue diseases: A retrospective study.

Huyan Wang, Xiaowei Shi, Huanhuan Yang, Yan Du, Jing Xue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. 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
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 6 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

5 authors at 2 institutions in 1 country.

Huyan WangDepartment of Rheumatology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiaowei ShiDepartment of Rheumatology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Huanhuan YangDepartment of Rheumatology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yan DuDepartment of Rheumatology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Jing XueDepartment of Rheumatology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Patients with connective tissue diseases (CTDs) are at high risk of infection due to various reasons. The purpose of the study was to investigate the infection diagnosis value of metagenomic next-generation sequencing (mNGS) shotgun in CTDs to guide the use of anti-infective therapy more quickly and accurately. Methods: In this retrospective study, a total of 103 patients with CTDs admitted with suspected infection between December 2018 and September 2021 were assessed using mNGS as well as conventional microbiological tests (CMT). Results: Among these 103 patients, 65 were confirmed to have an infection (Group I) and 38 had no infection (Group II). mNGS reached a sensitivity of 92.31% in diagnosing pathogens in Group I. Moreover, mNGS showed good performance in identifying mixed infection. In all infection types, lung infection was the most common. mNGS also played an important role in detecting Conclusion: mNGS is a useful tool with outstanding diagnostic potential in identifying pathogens in patients with CTDs and conduce to provide guidance in clinical practice.

Indexed as

CoinfectionConnective Tissue DiseasesCD4-Positive T-LymphocytesHigh-Throughput Nucleotide SequencingHumansMetagenomicsRetrospective StudiesSensitivity and Specificityconnective tissue diseasesdiagnosisimmunosuppressioninfectionmetagenomic next-generation sequencing

Identifiers

PMID36569204
PMCPMC9772835
OpenAlexW4311076363

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.