Evidence map›Paper›PMID 16954252›Full record

ArticleJournal of clinical microbiology2006

Molecular characterization of non-penicillin-susceptible Streptococcus pneumoniae in Norway.

Maren K R Sogstad, E Arne Høiby, Dominique A Caugant

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Maren K R SogstadDivision of Infectious Disease Control, Norwegian Institute of Public Health, P.O. Box 4404 Nydalen, 0403 Oslo, Norway.
E Arne Høiby
Dominique A Caugant

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 125 non-penicillin-susceptible Streptococcus pneumoniae isolates were received at the Norwegian Institute of Public Health in the period from 1995 to 2001. The strains were tested for antimicrobial susceptibility, serotyped, and genotyped by multilocus sequence typing (MLST); and their penicillin-binding proteins (PBPs) were typed by restriction fragment length polymorphism analysis of their pbp genes. Of the 125 strains, 48 (38%) were fully resistant to penicillin and 77 (62%) were intermediately resistant to penicillin. Most of the strains resistant to penicillin were also resistant to one or several additional antibiotics. The most frequent serotypes among the non-penicillin-susceptible strains were 14, 9V, 19F, 23F, and 6B. MLST analysis showed a high degree of genetic diversity among the 119 strains tested, with a total of 74 different sequence types. Six of the 26 internationally known resistant clones were present; the Spain(9V)-3 clone was the most frequent, with 19 isolates. A total of 74 (62%) of the isolates were related to 1 of the 26 international clones. Restriction enzyme analyses of the pbp1a, pbp2b, and pbp2x genes revealed 12, 12, and 19 different patterns, respectively; and a total of 43 different PBPs types were demonstrated. Our data indicate that the non-penicillin-susceptible strains in Norway are highly diverse genetically and that limited spread of the internationally known resistant strains occurred in the country in the period examined.

Indexed as

Penicillin ResistanceAnti-Bacterial AgentsGenotypeHumansMicrobial Sensitivity TestsNorwayPenicillin-Binding ProteinsPenicillinsPolymorphism, Restriction Fragment LengthSequence Analysis, DNASerotypingStreptococcal InfectionsStreptococcus pneumoniaeAnti-Bacterial AgentsPenicillin-Binding ProteinsPenicillins

Identifiers

PMID16954252
PMCPMC1594730

What OpenQuestion holds

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Registered trials

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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.