Evidence map›Paper›PMID 31078081›Full record

ReviewCurrent opinion in immunology2019

Pertussis vaccines and protective immunity.

Parul Kapil, Tod J Merkel

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Vaccines · 2026
    Review
  10. Antigen-specific TScience advances · 2026
    Article
  11. CD4+ T-cell immunity toDiscover immunity · 2026
    Review
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  14. Article
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  19. Review
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5 more citing papers are in PubMed but not listed here.

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

2 authors.

Parul KapilDivision of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, FDA, Silver Spring MD 20993, USA.
Tod J MerkelDivision of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, FDA, Silver Spring MD 20993, USA. Electronic address: tod.merkel@fda.hhs.gov.

Funding

Intramural FDA HHS FD999999NIAID NIH HHS Y01 AI001727
6 · The paper itself

Abstract

Despite high vaccine coverage, reported cases of pertussis have increased steadily over the last twenty years. This resurgence has stimulated interest in host responses to pertussis infection and vaccination with the goal of developing more effective next-generation vaccines and vaccination strategies. Optimal protection against Bordetella pertussis appears to be multifactorial requiring both humoral and cellular responses. Natural infection and whole-cell pertussis vaccination induce Th1 and Th17-dominated responses. In contrast, acellular vaccines induce Th2-dominated responses. Available immunological data indicate that while antibodies provide protection against disease, Th1 and Th17-mediated immune responses are required for bacterial clearance and long-lasting protection. The nature of the priming in children appears to be important in modulating bias and durability of immune responses required to provide protection against B. pertussis. This review summarizes the current understanding of differences in immune responses and their role in protection against B. pertussis following infection or vaccination.

Indexed as

AnimalsAntibodies, BacterialBordetella pertussisChildHumansImmunity, CellularImmunity, HumoralImmunologic MemoryLymphocyte ActivationPertussis VaccineTh17 CellsTh1 CellsVaccinationVaccines, AcellularWhooping CoughAntibodies, BacterialPertussis VaccineVaccines, Acellular

Identifiers

PMID31078081
PMCPMC6774807

What OpenQuestion holds

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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.