Evidence map›Paper›PMID 29209675›Full record

ArticleSaudi medical journal2017

Serotype prevalence and antibiotic susceptibility patterns of pneumococcal isolates in Zunyi city, China.

Meijing Shen, Run Yao, Huan Yue, Jingzhi Zhang, Min Chen, Weiwei Zhang, Daishun Liu, Kaifeng Wu

Abstract read
In one paragraph

Article in Saudi medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence ofHuman vaccines & immunotherapeutics · 2024
    Pooled it
  3. Article
  4. 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.

Meijing ShenDepartment of Laboratory Medicine, The Third Affiliated Hospital of Zunyi Medical University, Zunyi, China. E-mail. 569031388@qq.com.
Run Yao
Huan Yue
Jingzhi Zhang
Min Chen
Weiwei Zhang
Daishun Liu
Kaifeng Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the serotype distribution and antimicrobial susceptibility of pneumococci isolated from inpatients of all ages suspected of having bacterial infections.

methodsIn this retrospective study, pneumococcal isolates were consecutively collected  from the Third Affiliated Hospital of Zunyi Medical University, in Zunyi city, China, between January 2014 and December 2016. Pneumococci were identified using routine microbiological assays. We performed antimicrobial susceptibility analyses using the bacteria identification/susceptibility system VITEK2 and E-tests. Capsular types of all isolates were determined by multiplex polymerase chain reaction.

resultsWe identified 778 pneumococcal isolates. Serotypes 19F, 6A/6B, 19A, 23F, and 15B/15C were the most prevalent strains, accounting for 71.5% (556/778) of all isolates. Data show that 409 (70.4%) isolates could be covered by the PCV13 vaccine in children less than 2 years old. Irrespective of serotypes, 747 (96%) isolates were sensitive to penicillin, while 720 to 778 (90% to 100%) isolates were not susceptible to erythromycin, tetracycline, and trimethoprim/sulfamethoxazole. For isolates resistant to penicillin, ceftriaxone, cefotaxime, and meropenem, 22 to 39 (70% to 81.25%) strains belonged to PCV13 serotypes.

conclusionWe found a substantial increase in the annual number of pneumococcal isolates since 2014. The theoretical impact of PCV13 was high in children less than 2 years old, and penicillin might be effective against pneumococcal infections in this region.

Indexed as

Microbial Sensitivity TestsSerogroupAnti-Bacterial AgentsChinaDrug Resistance, BacterialHumansPneumococcal InfectionsStreptococcus pneumoniaeAnti-Bacterial Agents

Identifiers

PMID29209675
PMCPMC5787637

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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.