Evidence map›Paper›PMID 40474961›Full record

ArticleInfection and drug resistance2025

Bacterial Epidemiology and Antimicrobial Resistance in Children in Shandong Province, China, 2017-2022: A Multicentre Retrospective Study.

Shangmin Yang, Mengyuan Wang, Shifu Wang, Shandong Provincial Microbiome Research Center Children Bacterial and fungal Resistance Monitoring Research Network

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Epidemiology, changing resistance trends and serotypes ofFrontiers in cellular and infection microbiology · 2025
    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

4 authors.

Shangmin YangDepartment of Clinical Microbiology, Children's Hospital affiliated to Shandong University, Jinan, Shandong, People's Republic of China.
Mengyuan WangDepartment of Clinical Microbiology, Children's Hospital affiliated to Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0003-2077-361X
Shifu WangDepartment of Clinical Microbiology, Children's Hospital affiliated to Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0002-2131-9518
Shandong Provincial Microbiome Research Center Children Bacterial and fungal Resistance Monitoring Research Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bacterial antimicrobial resistance is becoming increasingly serious, but there are very limited studies in children. Shandong Province Pediatric bacterial & fungal Antimicrobial Resistance Surveillance System (SPARSS) program was established in 2017 to monitor and analyze the trends of bacterial epidemiology and antimicrobial resistance in children. Clinical bacterial isolates were collected from 59 tertiary hospital in Shandong Province China during 2017 to 2022. Methods: We conducted a retrospective analysis of bacterial distribution and resistance patterns, utilizing data from the SPARSS network and analyzed with WHONET 5.6 software. Results: A total of 185,274 isolates were collected, and the top 5 bacteria were Discussion: Despite restrictions on antibiotic use in China, the situation of bacterial drug resistance remains critical, particularly in children. Therefore, long-term monitoring of bacterial drug resistance in this population is essential to develop effective strategies for the early and accurate treatment of childhood infections.

Indexed as

antimicrobial resistancebacteriachildrenChinaMDROsMulti-Drug-Resistant Organisms

Identifiers

PMID40474961
PMCPMC12139632

What Socratic 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 Socratic graph.