Evidence map›Paper›PMID 27314035›Full record

ArticleBioMed research international2016

Serotype Distribution and Antimicrobial Resistance of Streptococcus pneumoniae Isolates Causing Invasive and Noninvasive Pneumococcal Diseases in Korea from 2008 to 2014.

Si Hyun Kim, Il Kwon Bae, Dongchul Park, Kyungmin Lee, Na Young Kim, Sae Am Song, Hye Ran Kim, Ga Won Jeon, Sang-Hwa Urm, Jeong Hwan Shin

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prevalence ofHuman vaccines & immunotherapeutics · 2024
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Antimicrobial Susceptibility Trends ofYonsei medical journal · 2021
    Article
  9. Serotype Distribution and Antibiotic Susceptibility ofInfection and drug resistance · 2020
    Article
  10. Article
  11. Article
  12. Antimicrobial susceptibility amongInfection and drug resistance · 2019
    Article
  13. Review
  14. Serotype distribution and antimicrobial resistance ofWestern Pacific surveillance and response journal : WPSAR
    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

10 authors.

Si Hyun KimDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea; Paik Institute for Clinical Research, Inje University College of Medicine, Busan 47392, Republic of Korea.ORCID 0000-0003-0713-7985
Il Kwon BaeDepartment of Dental Hygiene, College of Health and Welfare, Silla University, Busan 46958, Republic of Korea.
Dongchul ParkDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea; Paik Institute for Clinical Research, Inje University College of Medicine, Busan 47392, Republic of Korea.
Kyungmin LeeDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea; Paik Institute for Clinical Research, Inje University College of Medicine, Busan 47392, Republic of Korea.ORCID 0000-0001-5558-4304
Na Young KimDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea; Paik Institute for Clinical Research, Inje University College of Medicine, Busan 47392, Republic of Korea.
Sae Am SongDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea.
Hye Ran KimDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea.ORCID 0000-0002-6097-2085
Ga Won JeonDepartment of Pediatrics, Inje University College of Medicine, Busan 47392, Republic of Korea.ORCID 0000-0002-8206-9727
Sang-Hwa UrmPreventive Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea.
Jeong Hwan ShinDepartment of Laboratory Medicine, Inje University College of Medicine, Busan 47392, Republic of Korea; Paik Institute for Clinical Research, Inje University College of Medicine, Busan 47392, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction. Streptococcus pneumoniae is an important pathogen with high morbidity and mortality rates. The aim of this study was to evaluate the distribution of common serotypes and antimicrobial susceptibility of S. pneumoniae in Korea. Methods. A total of 378 pneumococcal isolates were collected from 2008 through 2014. We analyzed the serotype and antimicrobial susceptibility for both invasive and noninvasive isolates. Results. Over the 7 years, 3 (13.5%), 35 (10.8%), 19A (9.0%), 19F (6.6%), 6A (6.1%), and 34 (5.6%) were common serotypes/serogroups. The vaccine coverage rates of PCV7, PCV10, PCV13, and PPSV23 were 21.4%, 23.3%, 51.9%, and 62.4% in all periods. The proportions of serotypes 19A and 19F decreased and nonvaccine serotypes increased between 2008 and 2010 and 2011 and 2014. Of 378 S. pneumoniae isolates, 131 (34.7%) were multidrug resistant (MDR) and serotypes 19A and 19F were predominant. The resistance rate to levofloxacin was significantly increased (7.2%). Conclusion. We found changes of pneumococcal serotype and antimicrobial susceptibility during the 7 years after introduction of the first pneumococcal vaccine. It is important to continuously monitor pneumococcal serotypes and their susceptibilities.

Indexed as

AdolescentAdultAgedAge DistributionAnti-Infective AgentsChildChild, PreschoolDrug Resistance, MicrobialHumansMicrobial Sensitivity TestsMiddle AgedPneumococcal InfectionsPrevalenceRepublic of KoreaSerotypingStreptococcus pneumoniaeAnti-Infective Agents

Identifiers

PMID27314035
PMCPMC4904076

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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.