Evidence map›Paper›PMID 42434696›Full record

ArticleChina CDC weekly2026

Vaccination Coverage, Timeliness and Adverse Events Following Immunization in Children with Medical Conditions - Shandong Province, China, 2023.

Yudan Song, Xiang Zeng, Shaonan Liu, Yan Wang, Yuanyuan Wang, Xiaoxue Liu, Junhong Li, Yamin Wang, Lijing Xu, Weiyan Zhang and 3 more

Abstract read
In one paragraph

Article in China CDC weekly, 2026. 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
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.

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

13 authors.

Yudan Song *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Xiang Zeng *Zhuhai Center for Disease Control and Prevention, Zhuhai City, Guangdong Province, China.
Shaonan LiuShandong Center for Disease Control and Prevention, Jinan City, Shandong Province, China.
Yan WangJining Center for Disease Control and Prevention, Jining City, Shandong Province, China.
Yuanyuan WangWeifang Center for Disease Control and Prevention, Weifang City, Shandong Province, China.
Xiaoxue LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Junhong LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Yamin WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Lijing XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Weiyan ZhangShandong Center for Disease Control and Prevention, Jinan City, Shandong Province, China.
Zhijie AnNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Zundong YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.
Chao MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), Center for National Immunization Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Children with medical conditions who remain undervaccinated are at risk of vaccine-preventable diseases. What is added by this report?: In a multicenter retrospective study of 24,966 children with medical conditions, the median coverage of 10 National Immunization Program vaccines reached 97.33%, whereas timely completion was 89.21%. Children with brain, immune, or congenital disorders exhibited significantly lower vaccination coverage than those with other medical conditions. Post-diagnosis delays exceeded those before diagnosis. Overall adverse events following immunization rate was 23.7/100,000 doses administered. What are the implications for public health practices?: Research on the vaccination of children with brain, immune system, and congenital disorders is imperative. Integration of advanced practices will enhance the vaccination rate.

Indexed as

ChildrenMedical ConditionsVaccination

Identifiers

PMID42434696
PMCPMC13349668

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.