Evidence map›Paper›PMID 32134487›Full record

ArticleThe Journal of infectious diseases2020

Choice of Study Populations for Vaccines.

Paul Griffiths, Brenna Hughes

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 2 institutions in 2 countries.

Paul GriffithsInstitute for Immunity and Transplantation, UCL, London, United Kingdom.
Brenna HughesDepartment of Obstetrics and Gynecology, Duke University, Durham, North Carolina, USA.
Duke University · USUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural history of cytomegalovirus (CMV) infection is complex. Individuals may experience primary infection, reactivation of latent infection, or reinfection with a new strain despite natural immunity. The ability of this virus to continue to replicate despite substantial immune responses is attributable to the many immune evasion genes encoded within its genome. Given this complex natural history and immunology, the design of clinical trials of CMV vaccines may require components not usually found in trials of vaccines designed to protect against viruses that cause only acute infections. In this article, we focus on specific aspects of clinical trial design that could be adopted to address the complexities of CMV infections. We consider women of childbearing age, toddlers, recipients of solid organ transplantation, and stem cell transplant patients, emphasizing the parallels between women and solid organ transplantation that could allow vaccines to be developed in parallel in both these patient groups. We emphasize the potential for studies of passive immunity to inform the selection of immunogens as candidates for active immunization and vice versa. We also illustrate how application of whole-genomic sequencing could document whether vaccines protect against reactivation or reinfection of CMV or both.

Indexed as

Age FactorsClinical Decision-MakingCytomegalovirusCytomegalovirus InfectionsCytomegalovirus VaccinesDisease ManagementFemaleHematopoietic Stem Cell TransplantationHumansInfant, NewbornInfectious Disease Transmission, VerticalMaleOrgan TransplantationPopulation SurveillancePregnancyPregnancy Complications, InfectiousCytomegalovirus Vaccinesante-natalcytomegalovirusimmune responsestransplantvaccination

Identifiers

PMID32134487
PMCPMC7057788
OpenAlexW3009446886

What OpenQuestion holds

Textmetadata
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.