Evidence map›Paper›PMID 36408040›Full record

ReviewFrontiers in public health2022

Metagenomic next-generation sequencing assists in the diagnosis of

Huifen Wang, Su Yan, Ying Liu, Yaoguang Li, Guangying Cui, Xiaoxu Ma

Open access · goldAbstract readReviewCase Reports
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 8 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

6 authors at 1 institution in 1 country.

Huifen WangDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Su YanHealth Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ying LiuDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaoguang LiDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guangying CuiDepartment of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoxu MaDepartment of Respiratory Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary cryptococcosis (PC) was once thought to occur only in patients with immune deficiencies, such as tested positive for the Human Immunodeficiency Virus (HIV). However, in recent years, it has been discovered that more than half of the patients with PC in our nation are individuals with normal immune function. As more and more PC cases are recorded, our diagnosis and treatment approaches, as well as our understanding of PC, are gradually improving. In reality, most PC patients still have a high incidence of misdiagnosis on their initial visit. It is primarily linked to the diverse clinical manifestations, atypical imaging findings, and inaccurate diagnostic approaches. Methods: The research was conducted from 2019 to 2020. We performed traditional microbiological testing and mNGS on sample from patients with fever of Pulmonary nodules or lung infections. Furthermore, we collected patients' baseline information, clinical features, laboratory and imaging examination results, diagnosis, treatment and outcome. In the end, we confirmed three cases of PC using biopsy and mNGS. Conclusion: Our data demonstrates that mNGS can be utilized as an auxiliary method for PC diagnosis. Early mNGS aids in the identification of pathogens, enabling early diagnosis and treatment, as well as a reduction in the rate of misdiagnosis and illness progression.

Indexed as

CryptococcosisCryptococcusPneumoniaHigh-Throughput Nucleotide SequencingHumansMetagenomicsCryptococcus neoformansCryptococcus pneumoniadiagnosismetagenomic next-generation sequencing (mNGS)pathological biopsy

Identifiers

PMID36408040
PMCPMC9672815
OpenAlexW4308352536

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.