Evidence map›Paper›PMID 34869767›Full record

ArticleBioMed research international2021

rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites.

Xiaoling Yu, Wenqian Jiang, Xinhui Huang, Jun Lin, Hanhui Ye, Baorong Liu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Xiaoling YuDepartment of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.ORCID https://orcid.org/0000-0001-8514-8255
Wenqian JiangDepartment of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.ORCID https://orcid.org/0000-0001-8738-9896
Xinhui HuangDepartment of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.ORCID https://orcid.org/0000-0002-4788-0995
Jun LinInstitute of Applied Genomics, Fuzhou University, Fuzhou 350108, China.ORCID https://orcid.org/0000-0002-5971-9963
Hanhui YeDepartment of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.ORCID https://orcid.org/0000-0002-3704-0212
Baorong LiuDepartment of Infectious Diseases, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.ORCID https://orcid.org/0000-0003-3690-5875
Fujian Medical University · CNFuzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time-consuming nature. Clinical metagenomics next-generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third-generation long-read sequencing results and second-generation short-read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third-generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification, and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for the high error in the second-generation short-read sequencing results. Therefore, we propose that long-read-based rRNA analysis technology is superior to the short-read shotgun-based metagenomics method in the identification of pathogenic bacteria.

Indexed as

AscitesBacteriaBacterial InfectionsHigh-Throughput Nucleotide SequencingHumansMetagenomicsRNA, RibosomalSequence Analysis, DNARNA, Ribosomal

Identifiers

PMID34869767
PMCPMC8642000
OpenAlexW3214136572

What OpenQuestion holds

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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.