Evidence map›Paper›PMID 41550937›Full record

ArticleFrontiers in immunology2025

Low maternal pertussis protection and quantified infant risk: supporting maternal Tdap vaccination in China.

Wen Wang, Tingting Zhang, Xiang Sun

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Wen WangDepartment of Rheumatology and Immunology, Jiangsu Province (Suqian) Hospital, Suqian, Jiangsu, China.
Tingting ZhangMedical Record Office, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xiang SunSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pertussis remains a significant threat to infants, particularly in settings like China, where maternal tetanus-diphtheria-acellular pertussis (Tdap) vaccination is not part of the National Immunization Program, and data on maternal pertussis immunity are limited. This study aimed to assess the seroprevalence of protective pertussis toxin (PT) IgG antibodies in pregnant women and quantify the potential risk of infant pertussis under varying epidemiological scenarios. Methods: A cross-sectional serosurvey was conducted among 1,205 pregnant women in Jiangsu Province, China, from January to December 2024. Serum anti-PT IgG concentrations were measured using ELISA, with a protective threshold defined as ≥40 IU/mL. A scenario-based risk model ( Results: The overall median anti-PT IgG concentration was 6.34 IU/mL (IQR: 4.24-11.16), with only 3.57% (95% CI: 2.66-4.77%) of women achieving the protective threshold (≥40 IU/mL). Under a representative scenario ( Conclusion: Low maternal pertussis immunity in China poses a quantifiable risk to infants, particularly under elevated incidence scenarios. Maternal Tdap vaccination could substantially reduce infant pertussis burden, supporting its consideration for national immunization policy. These findings provide critical evidence for addressing immunity gaps and protecting vulnerable newborns in China.

Indexed as

Diphtheria-Tetanus-acellular Pertussis VaccinesImmunity, Maternally-AcquiredInfectious Disease Transmission, VerticalWhooping CoughAdultAntibodies, BacterialBordetella pertussisChinaCross-Sectional StudiesFemaleHumansImmunoglobulin GInfantInfant, NewbornPertussis ToxinPregnancyAntibodies, BacterialDiphtheria-Tetanus-acellular Pertussis VaccinesImmunoglobulin GPertussis Toxinmaternalpertussisrisk modelingseroepidemiologyTdap vaccination

Identifiers

PMID41550937
PMCPMC12808340

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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.