Evidence map›Paper›PMID 38596516›Full record

ArticleFrontiers in public health2024

Surveillance for adverse events following immunization with DTaP-containing combination vaccines in Linping, China, 2019-2022.

Qinghua Chen, Chuandi Zhang, Chunmei Ye, Junwei Zhu, Jie Shen, Chang Zhu, Pai Yang, Tiane Liu, Yuyang Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Observational
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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

9 authors at 3 institutions in 1 country.

Qinghua Chen *Department of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Chuandi Zhang *Department of Public Health, Linping District Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.
Chunmei YeDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Junwei ZhuDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Jie ShenDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Chang ZhuDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Pai YangDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Tiane LiuDepartment of Expanded Program on Immunization, Linping District Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Yuyang XuDepartment of Expanded Program on Immunization, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Hangzhou Center for Disease Control and Prevention · CNZhejiang Center for Disease Control and Prevention · CNIntegrated Chinese Medicine (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The DTaP-Hib and DTaP-IPV/Hib combination vaccine can be used as a substitute for the diphtheria, tetanus, and acellular pertussis combined vaccine (DTaP). We aimed to evaluate the safety of multi-component vaccines containing DTaP by analyzing the reporting rates and characteristics of adverse events following immunization (AEFIs) in Linping District during the years 2019 to 2022. Methods: We obtained data of AEFI and vaccination from the National AEFI Surveillance System of China and Zhejiang Municipal Immunization Information Management System, respectively, during 2019-2022 for a descriptive, epidemiological analysis. Results: The total number of AEFI reported following vaccinations with DTaP-containing combination vaccines was 802 in Linping District from 2019 to 2022. The overall reporting rates of AEFIs following DTaP, DTaP-Hib, and DTaP-IPV/Hib vaccinations were 445.72 (537 cases), 536.29 (45 cases), and 306.13 (220 cases) per 100,000 doses in Linping District from 2019 to 2022, respectively. Only one case of a serious AEFI following DTaP vaccination, with a reporting rate of 0.83 per 100,000 doses. The composition ratio of vaccine product-related reactions for DTaP, DTaP-Hib, and DTaP-IPV/Hib were 99.81, 97.78, and 100.00%, respectively. The composition ratio of coincidental events for DTaP and DTaP-Hib were 0.19 and 2.22%, respectively. The reporting rates of total AEFIs for DTaP-IPV/Hib were lower than for DTaP. The reporting rate of local induration for DTaP-Hib was lower than for DTaP, and the reporting rates of local redness & swelling and local induration for DTaP-IPV/Hib were both lower than for DTaP. DTaP-IPV/Hib had a higher proportion of AEFIs in first quarter compared to DTaP. The reporting rate after the second dose of DTaP-Hib was higher than that of DTaP, and the reporting rates of AEFIs after the first dose and third dose of DTaP-IPV/Hib were lower than DTaP. Conclusion: The reported AEFIs to multi-component vaccines containing DTaP components during 2019-2022 in Linping District were mainly mild vaccine reactions. DTaP-containing combination vaccines demonstrated a good safety profile.

Indexed as

Diphtheria-Tetanus-acellular Pertussis VaccinesChinaHumansImmunizationVaccinationVaccines, CombinedDiphtheria-Tetanus-acellular Pertussis VaccinesVaccines, CombinedAEFIDTaPDTaP-HibDTaP-IPV/Hibreporting rate

Identifiers

PMID38596516
PMCPMC11002100
OpenAlexW4393197221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.