Evidence map›Paper›PMID 39211439›Full record

ArticleChina CDC weekly2024

Post-Marketing Surveillance of Adverse Events Following Immunization with

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

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Adverse Events FollowingVaccines · 2025
    Article
  3. 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.

Minrui RenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Keli LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Yan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Chunxiang FanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuyang XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Lina ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuan LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Lei CaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenzhou YuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.
Zundong YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Methods: We extracted data on Hib vaccine doses administered and adverse events following immunization (AEFI) reported between 2010 and 2021 from the Chinese National Immunization Information System (CNIIS). A descriptive analysis was conducted to examine the characteristics and incidence rates of AEFI with the Hib vaccine. Results: In China, between 2010 and 2021, a total of 52,910 AEFIs with the Hib vaccine were reported, resulting in an overall AEFI reporting rate of 38.10 per 100,000 doses. Common (typically minor) and rare (potentially serious) vaccine reactions occurred at rates of 34.71 and 2.78 per 100,000 doses, respectively. Among the common vaccine reactions, the incidences of fever (axillary temperature ≥38.6 ℃), injection site redness and swelling (>2.5 cm in diameter), and injection site induration (>2.5 cm in diameter) were 11.93, 9.69, and 3.38 per 100,000 doses, respectively. Rare vaccine reactions included anaphylactic rash, angioedema, and febrile convulsion with reported incidences of 2.42, 0.10, and 0.05 per 100,000 doses, respectively. The incidence of serious rare vaccine reactions was 0.16 per 100,000 doses. Conclusions: The reported incidence of AEFI with the Hib vaccine was low, with the occurrence of serious rare adverse reactions also being markedly low throughout the period 2010-2021 in China.

Indexed as

Adverse events following immunizationHib vaccinePost-marketing surveillance

Identifiers

PMID39211439
PMCPMC11350236

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.