Evidence map›Paper›PMID 33350909›Full record

ArticleEmerging infectious diseases2021

Precise Species Identification by Whole-Genome Sequencing of Enterobacter Bloodstream Infection, China.

Wenjing Wu, Li Wei, Yu Feng, Yi Xie, Zhiyong Zong

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
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  12. Genome assembly ofFrontiers in microbiology · 2025
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  13. Review
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  16. Emergence ofFrontiers in microbiology · 2024
    Article
  17. Review
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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 1 institution in 1 country.

Wenjing Wu
Li Wei
Yu Feng
Yi Xie
Zhiyong Zong
State Key Laboratory of Biotherapy

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical importance of Enterobacter spp. remains unclear because phenotype-based Enterobacter species identification is unreliable. We performed a genomic study on 48 cases of Enterobacter-caused bloodstream infection by using in silico DNA-DNA hybridization to identify precise species. Strains belonged to 12 species; Enterobacter xiangfangensis (n = 21) and an unnamed species (taxon 1, n = 8) were dominant. Most (63.5%) Enterobacter strains (n = 349) with genomes in GenBank from human blood are E. xiangfangensis; taxon 1 (19.8%) was next most common. E. xiangfangensis and taxon 1 were associated with increased deaths (20.7% vs. 15.8%), lengthier hospitalizations (median 31 d vs. 19.5 d), and higher resistance to aztreonam, cefepime, ceftriaxone, piperacillin-tazobactam, and tobramycin. Strains belonged to 37 sequence types (STs); ST171 (E. xiangfangensis) was most common (n = 6). Four ST171 strains belonged to a defined clone. Precise species identification has greater implications for epidemiology and infection control than treatment.

Indexed as

BacteremiaEnterobacteriaceae InfectionsAnti-Bacterial AgentsChinaEnterobacterHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantimicrobial resistancebacteremiabacteriabacterial infectionsbloodstream infectionChinaEnterobacterEnterobacter cloacae

Identifiers

PMID33350909
PMCPMC7774573
OpenAlexW3110887765

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.