Evidence map›Paper›PMID 37829250›Full record

ArticleGMS hygiene and infection control2023

Sequence-type diversity of invasive Streptococcus pneumoniae isolates in Iran among children under 15 years of age.

Sedigheh Rafiei Tabatabaei, Marjan Tariverdi, Abdollah Karimi, Ali Nazari-Alam, Hannan Khodaei, Leila Azimi

Open access · greenAbstract read
In one paragraph

Article in GMS hygiene and infection control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Sedigheh Rafiei TabatabaeiPediatric Infections Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Marjan TariverdiDepartment of Pediatric Infectious Disesease, Children's Clinical Research Development Center, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Abdollah KarimiPediatric Infections Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Nazari-AlamInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Hannan KhodaeiPediatric Infections Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Leila AzimiPediatric Infections Research Center, Research Institute of Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRHormozgan University of Medical Sciences · IRKashan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infection with viruses, bacteria, or other pathogens can lead to inflammation of the meninges. Finding the pathogen and identifying the most common type is necessary for each country. Using multi-locus sequence typing (MLST), the aim of this study was to determine the genetic relationship among Materials and methods: : Fourteen isolates of Results: The sequencing analysis showed four MLST types in the studied strains. The most frequent type is ST13649 and the least frequent are ST708 and ST285. Conclusion: Finding the bacterial sequence types (ST) enables comparing the ST in different, especially neighbouring, countries.

Indexed as

bacterial meningitiscerebrospinal fluidchildrenclonal complexesIranmulti-locus sequence typingsequence typesS. pneumoniae

Identifiers

PMID37829250
PMCPMC10566012
OpenAlexW4387597916

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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.