Evidence map›Paper›PMID 35909970›Full record

ArticleFrontiers in cellular and infection microbiology2022

Metagenome Analysis of the Bacterial Characteristics in Invasive

Zhijie Zhang, Hairui Wang, Yawen Guo, Zhaoyu Liu, Zhihui Chang

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Risk factors for invasiveFrontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Molecular identification ofOpen veterinary journal · 2024
    Article
  8. 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 at 1 institution in 1 country.

Zhijie ZhangDepartment of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Hairui WangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yawen GuoDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhaoyu LiuDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhihui ChangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Clinical details, imaging, and microbial features were retrospectively evaluated by medical record review. Metagenomic sequencing was performed on the pus samples of liver abscesses whose culture results were indicative of monomicrobial Results: Sixteen patients were included in this study. Five patients with EMI were included in the IKPLA group, and the other eleven patients without EMI were assigned to the KPLA group. There was no statistical difference in the hypermucoviscous phenotype and serotype of Conclusion: The diversity and bacterial composition of IKPLA were significantly different from those of KPLA. Microbiological changes in the abscess, activation of the related metabolic pathways, and the pathogenic gene expression may constitute a novel mechanism that regulates the invasiveness of KPLA.

Indexed as

Klebsiella InfectionsLiver AbscessHumansKlebsiella pneumoniaeMetagenomeRetrospective StudiesinvasivenessKlebsiella pneumoniaeliver abscessmetabolic pathwaymetagenome

Identifiers

PMID35909970
PMCPMC9334793
OpenAlexW4285588925

What Socratic 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 Socratic graph.