Evidence map›Paper›PMID 33164799›Full record

ArticleVaccine2020

Evaluating post-vaccine expansion patterns of pneumococcal serotypes.

Maile T Phillips, Joshua L Warren, Noga Givon-Lavi, Adrienn Tothpal, Gili Regev-Yochay, Ron Dagan, Daniel M Weinberger

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Genomic epidemiology ofMicrobial genomics · 2023
    Article
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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

7 authors at 4 institutions in 3 countries.

Maile T PhillipsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States. Electronic address: maile.phillips@yale.edu.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, United States.
Noga Givon-LaviFaculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Adrienn TothpalDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States; Semmelweis University, Institute of Medical Microbiology, Budapest, Hungary.
Gili Regev-YochaySackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Infection Prevention & Control Unit, Sheba Medical Center, Tel-Hashomer, Israel.
Ron DaganFaculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.
Yale University · USBen-Gurion University of the Negev · ILSemmelweis University · HUTel Aviv University · IL

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Predicting and monitoring variations in the effects of vaccines against RSVR01AI137093 · NIAID · YALE UNIVERSITY · PI Virginia E Pitzer, Daniel Martin Weinberger · 2018 to 2026
$3.4M
Forecasting pneumococcal serotype frequencies to develop adult-specific vaccinesR01AI123208 · NIAID · YALE UNIVERSITY · PI WEINBERGER, DANIEL MARTIN · 2016 to 2019
$2.5M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI123208NIAID NIH HHS R01 AI137093
6 · The paper itself

Abstract

backgroundStreptococcus pneumoniae remains a leading cause of morbidity and mortality. Pneumococcal conjugate vaccines (PCVs) are effective but target only a fraction of the more than 90 pneumococcal serotypes. As a result, the introduction of PCVs has been followed by the emergence of non-vaccine serotypes. With higher-valency PCVs currently under development, there is a need to understand and predict patterns of serotype replacement to anticipate future changes.

methodsIn this study, we fit a hierarchical Bayesian regression model to evaluate patterns of change in serotype prevalence post-PCV introduction in Israel from 2009 to 2016.

resultsWe found that the assumption that non-vaccine serotypes increase by the same proportion overestimates changes in serotype prevalence in Jewish and Bedouin children. Furthermore, pre-vaccine prevalence was positively associated with increases in prevalence over the study period. From our analyses, serotypes 12F, 8, 16F, 33F, 9N, 7B, 10A, 22F, 24F, and 17F were estimated to have gained the most cases of invasive pneumococcal disease through serotype replacement in the Jewish population. However, this model also failed to quantify some additional cases gained, suggesting that changes in carriage in children alone may be insufficient to explain serotype replacement in disease.

conclusionsUnderstanding of serotype replacement is important as higher-valency vaccines are introduced.

Indexed as

Pneumococcal InfectionsPneumococcal VaccinesBayes TheoremCarrier StateChildHumansInfantIsraelSerogroupVaccines, ConjugatePneumococcal VaccinesVaccines, Conjugate

Identifiers

PMID33164799
PMCPMC7664987
OpenAlexW3094611102

What OpenQuestion holds

Textmetadata
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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.