Evidence map›Paper›PMID 38765131›Full record

ArticleHeliyon2024

Diagnostic value of DNA or RNA-based metagenomic next-generation sequencing in lower respiratory tract infections.

Jiafu Song, Suxia Liu, Yongpeng Xie, Chen Zhang, Caiyun Xu

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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.

Jiafu SongDepartment of Respiratory and Critical Care Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China.
Suxia LiuDepartment of Critical Care Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China.
Yongpeng XieDepartment of Critical Care Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China.
Chen ZhangDepartment of Medicine, Dinfectome Inc., Nanjing, Jiangsu, China.
Caiyun XuDepartment of Critical Care Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We aimed to evaluate and compare the diagnostic performance of RNA-mNGS and DNA-mNGS workflow in bacterial pneumonia, fungal pneumonia and tuberculosis. Methods: A total of 134 cases suspected pneumonia undergoing both DNA and RNA based mNGS of bronchoalveolar lavage fluid (BALF) and also traditional etiological examination were evaluated retrospectively.Sensitivity, specificity, PPV, NPV and accuracy rate of DNA and RNA based mNGS were estimated. Results: In the diagnosis performance of bacterial pathogens in LRTIs,the specificity of RNA-mNGS was higher than that of DNA-mNGS(82.3 % vs. 61.9 %, Conclusions: RNA-mNGS may reduced the misdiagnosis rate of bacterial and fungal pathogens in LRTIs.Compared to RNA-mNGS, DNA-mNGS may could improve the diagnostic rate of tuberculosis.

Indexed as

Bacterial pneumoniaDNA-mNGSFungal pneumoniaRNA-mNGSTuberculosis

Identifiers

PMID38765131
PMCPMC11098835

What OpenQuestion holds

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LicenceCC BY
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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.