Evidence map›Paper›PMID 29329684›Full record

ArticleVaccine2018

Impact of seasonal influenza vaccination in the presence of vaccine interference.

Eunha Shim, Kenneth J Smith, Mary Patricia Nowalk, Jonathan M Raviotta, Shawn T Brown, Jay DePasse, Richard K Zimmerman

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Vaccine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Influenza vaccine effectiveness against laboratory-confirmed influenza in hospitalised adults aged 60 years or older, Valencia Region, Spain, 2017/18 influenza season.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Observational
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 2 countries.

Eunha ShimDepartment of Mathematics, Soongsil University, Sangdo-ro 369, Dongjak-gu, Seoul 156-743 Republic of Korea. Electronic address: alicia@ssu.ac.kr.
Kenneth J SmithUniversity of Pittsburgh School of Medicine, 200 Meyran Ave, Suite 200, Pittsburgh, PA 15213, USA.
Mary Patricia NowalkDepartment of Family Medicine, University of Pittsburgh School of Medicine, Suite 520 Schenley Place, 4420 Bayard Street, Pittsburgh, PA 15260, USA.
Jonathan M RaviottaDepartment of Family Medicine, University of Pittsburgh School of Medicine, Suite 520 Schenley Place, 4420 Bayard Street, Pittsburgh, PA 15260, USA.
Shawn T BrownPittsburgh Supercomputing Center, Carnegie Mellon University, 300 S. Craig Street, Pittsburgh, PA 15213, USA.
Jay DePassePittsburgh Supercomputing Center, Carnegie Mellon University, 300 S. Craig Street, Pittsburgh, PA 15213, USA.
Richard K ZimmermanDepartment of Family Medicine, University of Pittsburgh School of Medicine, Suite 520 Schenley Place, 4420 Bayard Street, Pittsburgh, PA 15260, USA.
University of Pittsburgh · USCarnegie Mellon University · USPittsburgh Supercomputing Center · USSoongsil University · KR

Funding

Future of influenza vaccine strategies given interference and choiceR01GM111121 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, KENNETH J, ZIMMERMAN, RICHARD K · 2014 to 2017
$1.6M
NIGMS NIH HHS R01 GM111121
6 · The paper itself

Abstract

backgroundAnnual influenza vaccination is a key to preventing widespread influenza infections. Recent reports of influenza vaccine effectiveness (VE) indicate that vaccination in prior years may reduce VE in the current season, suggesting vaccine interference. The purpose of this study is to evaluate the potential effect of repeat influenza vaccinations in the presence of vaccine interference.

methodsUsing literature-based parameters, an age-structured influenza equation-based transmission model was used to determine the optimal vaccination strategy, while considering the effect of varying levels of interference.

resultsThe model shows that, even in the presence of vaccine interference, revaccination reduces the influenza attack rate and provides individual benefits. Specifically, annual vaccination is a favored strategy over vaccination in alternate years, as long as the level of residual protection is less than 58% or vaccine interference effect is minimal. Furthermore, the negative impact of vaccine interference may be offset by increased vaccine coverage levels.

conclusionsEven in the presence of potential vaccine interference, our work provides a population-level perspective on the potential merits of repeated influenza vaccination. This is because repeat vaccination groups had lower attack rates than groups that omitted the second vaccination unless vaccine interference was at very high, perhaps implausible, levels.

Indexed as

SeasonsVaccinationAdolescentAdultAgedAged, 80 and overChildFemaleHumansInfluenza, HumanInfluenza VaccinesMaleMiddle AgedOutcome Assessment, Health CarePopulation SurveillanceYoung AdultInfluenza VaccinesInfluenzaVaccinationVaccine effectivenessVaccine interference

Identifiers

PMID29329684
PMCPMC5825190
OpenAlexW2782688106

What OpenQuestion holds

Textmetadata
LicenceTDM
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.