Evidence map›Paper›PMID 24053661›Full record

ArticleBMC infectious diseases2013

Effectiveness of influenza vaccine against laboratory-confirmed influenza, in the late 2011-2012 season in Spain, among population targeted for vaccination.

Silvia Jiménez-Jorge, Salvador de Mateo, Concha Delgado-Sanz, Francisco Pozo, Inmaculada Casas, Manuel Garcia-Cenoz, Jesús Castilla, Esteban Pérez, Virtudes Gallardo, Carolina Rodriguez and 10 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Estimating influenza vaccine effectiveness using routine surveillance data among children aged 6-59 months for five consecutive influenza seasons.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2015
    Pooled it
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  11. Effects of Influenza Vaccination in the United States During the 2018-2019 Influenza Season.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  12. Review
  13. Effects of Influenza Vaccination in the United States During the 2017-2018 Influenza Season.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
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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

20 authors.

Silvia Jiménez-JorgeNational Centre of Epidemiology, Institute of Health Carlos III, c/Monforte de Lemos no, 5, Madrid 28029, Spain. sjimenezj@isciii.es.
Salvador de Mateo
Concha Delgado-Sanz
Francisco Pozo
Inmaculada Casas
Manuel Garcia-Cenoz
Jesús Castilla
Esteban Pérez
Virtudes Gallardo
Carolina Rodriguez
Tomás Vega
Carmen Quiñones
Eva Martínez
Juana María Vanrell
Jaume Giménez
Daniel Castrillejo
María del Carmen Serrano
Julián Mauro Ramos
Amparo Larrauri
Spanish Influenza Sentinel Surveillance System

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Spain, the influenza vaccine effectiveness (VE) was estimated in the last three seasons using the observational study cycEVA conducted in the frame of the existing Spanish Influenza Sentinel Surveillance System. The objective of the study was to estimate influenza vaccine effectiveness (VE) against medically attended, laboratory-confirmed influenza-like illness (ILI) among the target groups for vaccination in Spain in the 2011-2012 season. We also studied influenza VE in the early (weeks 52/2011-7/2012) and late (weeks 8-14/2012) phases of the epidemic and according to time since vaccination.

methodsMedically attended patients with ILI were systematically swabbed to collect information on exposure, laboratory outcome and confounding factors. Patients belonging to target groups for vaccination and who were swabbed <8 days after symptom onset were included. Cases tested positive for influenza and controls tested negative for any influenza virus. To examine the effect of a late season, analyses were performed according to the phase of the season and according to the time between vaccination and symptoms onset.

resultsThe overall adjusted influenza VE against A(H3N2) was 45% (95% CI, 0-69). The estimated influenza VE was 52% (95% CI, -3 to 78), 40% (95% CI, -40 to 74) and 22% (95% CI, -135 to 74) at 3.5 months, 3.5-4 months, and >4 months, respectively, since vaccination. A decrease in VE with time since vaccination was only observed in individuals aged ≥ 65 years. Regarding the phase of the season, decreasing point estimates were only observed in the early phase, whereas very low or null estimates were obtained in the late phase for the shortest time interval.

conclusionsThe 2011-2012 influenza vaccine showed a low-to-moderate protective effect against medically attended, laboratory-confirmed influenza in the target groups for vaccination, in a late season and with a limited match between the vaccine and circulating strains. The suggested decrease in influenza VE with time since vaccination was mostly observed in the elderly population. The decreasing protective effect of the vaccine in the late part of the season could be related to waning vaccine protection because no viral changes were identified throughout the season.

Indexed as

AdolescentAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfluenza A virusInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesMaleMiddle AgedPhylogenySeasonsInfluenza Vaccines

Identifiers

PMID24053661
PMCPMC3848794

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.