Evidence map›Paper›PMID 42433643›Full record

ArticleChina CDC weekly2026

Post-Marketing Surveillance of Adverse Events Following 23-Valent Pneumococcal Polysaccharide Vaccination - China, 2021-2024.

Yan Li, Lina Zhang, Minrui Ren, Yuan Li, Chunxiang Fan, Zhaonan Zhang, Lei Cao, Wenzhou Yu, Zundong Yin, Keli Li

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

10 authors.

Yan 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.
Lina ZhangNational 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.
Minrui RenNational 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.
Yuan 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.
Chunxiang FanNational 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.
Zhaonan ZhangNational 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.
Lei CaoNational 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.
Wenzhou YuNational 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.
Keli 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study assesses the adverse events following vaccination with the 23-valent pneumococcal polysaccharide vaccine (PPV23) in China from 2021 to 2024. Methods: We obtained reports of adverse events following immunization (AEFI) with PPV23 and the number of PPV23 doses administered during the study period from the Chinese National Immunization Information System (CNIIS). We descriptively analyzed the AEFI characteristics and reported incidences per 100,000 doses administered. Results: During the study period, 26.65 million doses of PPV23 were administered and 22,221 PPV23 AEFI were reported, i.e., a reported incidence of 83.37 AEFI per 100,000 doses administered. The incidence per 100,000 doses of common vaccine reactions was 80.51, and the incidences of rare vaccine reactions and serious AEFI were 1.70 and 0.43, respectively. The incidences of AEFI, common vaccine reactions, and rare vaccine reactions decreased with age. The most frequently reported common vaccine reactions were fever (54.07/100,000 doses) and local redness and swelling (41.61/100,000 doses), and the most frequent rare vaccine reaction was allergic rash (0.92/100,000 doses). 99.15% of adverse vaccine reactions occurred within 3 days after vaccination. Conclusion: PPV23 had a good safety profile during 2021 to 2024. The findings support the use of PPV23 as recommended from a safety perspective.

Indexed as

23-valent Pneumococcal Polysaccharide VaccineAdverse events following immunizationPost-marketing surveillance

Identifiers

PMID42433643
PMCPMC13349676

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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.