Evidence map›Paper›PMID 29765237›Full record

ArticleInfection and drug resistance2018

Comparative genomic analysis of multidrug-resistant

Fen Pan, Hong Zhang, Xiaoyan Dong, Weixing Ye, Ping He, Shulin Zhang, Jeff Xianchao Zhu, Nanbert Zhong

Abstract read
In one paragraph

Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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. Article
  2. Article
  3. Comparative Genome Analysis ofLife (Basel, Switzerland) · 2021
    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

8 authors.

Fen PanDepartment of Clinical Laboratory, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.
Hong ZhangDepartment of Clinical Laboratory, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.
Xiaoyan DongDepartment of Respiratory, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.
Weixing YeShanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Ping HeDepartment of Medical Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shulin ZhangDepartment of Medical Microbiology and Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jeff Xianchao ZhuZhejiang Bioruida Biotechnology co. Ltd, Zhejiang, China.
Nanbert ZhongDepartment of Clinical Laboratory, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultidrug resistance in

methodsWe conducted whole-genome resequencing for 25 pneumococcal strains isolated from children with different antimicrobial resistance profiles. Comparative analysis focus on detection of single-nucleotide polymorphisms (SNPs) and insertions and deletions (indels) was conducted. Moreover, phylogenetic analysis was applied to investigate the genetic relationship among these strains.

resultsThe genome size of the isolates was ~2.1 Mbp, covering >90% of the total estimated size of the reference genome. The overall G+C% content was ~39.5%, and there were 2,200-2,400 open reading frames. All isolates with different drug resistance profiles harbored many indels (range 131-171) and SNPs (range 16,103-28,128). Genetic diversity analysis showed that the variation of different genes were associated with specific antibiotic resistance. Known antibiotic resistance genes (

conclusionIn this study, although pneumococcal isolates had similar genetic backgrounds, strains were diverse at the genomic level. These strains exhibited distinct variations in their indel and SNP compositions associated with drug resistance.

Indexed as

antimicrobial resistanceinsertions/deletionsphylogenetic analysisSNPsStreptococcus pneumoniaewhole-genome sequencing

Identifiers

PMID29765237
PMCPMC5939923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.