Evidence map›Paper›PMID 30273332›Full record

ArticlePLoS computational biology2018

Use of an individual-based model of pneumococcal carriage for planning a randomized trial of a whole-cell vaccine.

Francisco Y Cai, Thomas Fussell, Sarah Cobey, Marc Lipsitch

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Francisco Y CaiDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-4718-9632
Thomas FussellDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-3702-8387
Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States of America.
Marc LipsitchDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-1504-9213
Center for Disease Dynamics, Economics & Policy · USHarvard University · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For encapsulated bacteria such as Streptococcus pneumoniae, asymptomatic carriage is more common and longer in duration than disease, and hence is often a more convenient endpoint for clinical trials of vaccines against these bacteria. However, using a carriage endpoint entails specific challenges. Carriage is almost always measured as prevalence, whereas the vaccine may act by reducing incidence or duration. Thus, to determine sample size requirements, its impact on prevalence must first be estimated. The relationship between incidence and prevalence (or duration and prevalence) is convex, saturating at 100% prevalence. For this reason, the proportional effect of a vaccine on prevalence is typically less than its proportional effect on incidence or duration. This relationship is further complicated in the presence of multiple pathogen strains. In addition, host immunity to carriage accumulates rapidly with frequent exposures in early years of life, creating potentially complex interactions with the vaccine's effect. We conducted a simulation study to predict the impact of an inactivated whole cell pneumococcal vaccine-believed to reduce carriage duration-on carriage prevalence in different age groups and trial settings. We used an individual-based model of pneumococcal carriage that incorporates relevant immunological processes, both vaccine-induced and naturally acquired. Our simulations showed that for a wide range of vaccine efficacies, sampling time and age at vaccination are important determinants of sample size. There is a window of favorable sampling times during which the required sample size is relatively low, and this window is prolonged with a younger age at vaccination, and in a trial setting with lower transmission intensity. These results illustrate the ability of simulation studies to inform the planning of vaccine trials with carriage endpoints, and the methods we present here can be applied to trials evaluating other pneumococcal vaccine candidates or comparing alternative dosing schedules for the existing conjugate vaccines.

Indexed as

Carrier StateModels, ImmunologicalPneumococcal InfectionsPneumococcal VaccinesComputational BiologyHost-Pathogen InteractionsHumansIncidencePrevalenceRandomized Controlled Trials as TopicStreptococcus pneumoniaePneumococcal Vaccines

Identifiers

PMID30273332
PMCPMC6181404
OpenAlexW2953187324

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.