Evidence map›Paper›PMID 23481266›Full record

ArticleEpidemiology and infection2013

Spread of multidrug-resistant clonal complex 271 of serotype 19F Streptococcus pneumoniae in Beijing, China: characterization of serotype 19F.

Q H Li, K H Yao, S J Yu, X Ma, M M He, W Shi, Y H Yang

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
  3. Genomic Epidemiology ofPathogens (Basel, Switzerland) · 2023
    Article
  4. Severe problem of macrolides resistance to common pathogens in China.Frontiers in cellular and infection microbiology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

7 authors at 2 institutions in 1 country.

Q H LiKey Laboratory of Major Diseases in Children and National Key Discipline of Pediatrics (Capital Medical University), Ministry of Education, Beijing Pediatrics Research Institute, Beijing Children's Hospital, Capital Medical University, Beijing, China.
K H Yao
S J Yu
X Ma
M M He
W Shi
Y H Yang
Capital Medical University · CNBeijing Children’s Hospital · CN

Funding

Wellcome Trust
6 · The paper itself

Abstract

We investigated the genetic structure of 120 isolates of serotype 19F Streptococcus pneumoniae from Chinese children with acute respiratory infections collected from 1997 to 2006, and 2010. All strains were susceptible to vancomycin and levofloxacin, and only five strains were not susceptible to penicillin. The non-susceptibility rate to cephalosporins increased from 1997 to 2010. Of 119 erythromycin-resistant strains, 60 carried both ermB and mefA genes. The percentage of clonal complex 271 (CC271) increased from 14.3% in 1997-1998 to 92% in 2010, whereas that of CC983 decreased from 64.3% to 0%. CC271 had a higher non-susceptibility rate to β-lactam antibiotics than CC983 and other CCs. The increased non-susceptibility rate to β-lactam antibiotics in serotype 19F pneumococci was found to be associated with the spread of the international resistant clone CC271 presumably caused by antibiotic pressure. Long-term surveys of serotype 19F S. pneumoniae are required to monitor CC prevalence and trends in antimicrobial resistance.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsChild, PreschoolChinaGenotypeHumansMolecular TypingPneumococcal InfectionsSerotypingStreptococcus pneumoniaeAnti-Bacterial Agents

Identifiers

PMID23481266
PMCPMC9156426
OpenAlexW2033576157

What OpenQuestion holds

Textmetadata
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.