Evidence map›Paper›PMID 25996366›Full record

ArticleHuman vaccines & immunotherapeutics2015

Influenza vaccine effectiveness in preventing inpatient and outpatient cases in a season dominated by vaccine-matched influenza B virus.

Iván Martínez-Baz, Ana Navascués, Francisco Pozo, Judith Chamorro, Esther Albeniz, Itziar Casado, Gabriel Reina, Manuel García Cenoz, Carmen Ezpeleta, Jesús Castilla and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Effectiveness of influenza vaccination in preventing confirmed influenza cases and hospitalizations in Northern Spain, 2023/24 season: A population-based test-negative case-control study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
  3. Article
  4. Article
  5. Simple models to include influenza vaccination history when evaluating the effect of influenza vaccination.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Comparison of influenza vaccine effectiveness in preventing outpatient and inpatient influenza cases in older adults, northern Spain, 2010/11 to 2015/16.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. 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

11 authors at 6 institutions in 3 countries.

Iván Martínez-Baza Instituto de Salud Pública de Navarra ; Pamplona , Spain.
Ana Navascués
Francisco Pozo
Judith Chamorro
Esther Albeniz
Itziar Casado
Gabriel Reina
Manuel García Cenoz
Carmen Ezpeleta
Jesús Castilla
Primary Health Care Sentinel Network and Network for Influenza Surveillance in Hospitals of Navarra
Complejo Hospitalario de Navarra · ESInstituto de Salud Pública de Navarra · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESClinica Universidad de Navarra · ESNational Influenza Center · MNPublic Risk Management Association · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies that have evaluated the influenza vaccine effectiveness (VE) to prevent laboratory-confirmed influenza B cases are uncommon, and few have analyzed the effect in preventing hospitalized cases. We have evaluated the influenza VE in preventing outpatient and hospitalized cases with laboratory-confirmed influenza in the 2012-2013 season, which was dominated by a vaccine-matched influenza B virus. In the population covered by the Navarra Health Service, all hospitalized patients with influenza-like illness (ILI) and all ILI patients attended by a sentinel network of general practitioners were swabbed for influenza testing, and all were included in a test-negative case-control analysis. VE was calculated as (1-odds ratio) × 100. Among 744 patients tested, 382 (51%) were positive for influenza virus: 70% for influenza B, 24% for A(H1N1)pdm09, and 5% for A(H3N2). The overall estimate of VE in preventing laboratory-confirmed influenza was 63% (95% confidence interval (CI): 34 to 79), 55% (1 to 80) in outpatients and 74% (33 to 90) in hospitalized patients. The VE was 70% (41 to 85) against influenza B and 43% (-45 to 78) against influenza A. The VE against virus B was 87% (52 to 96) in hospitalized patients and 56% in outpatients (-5 to 81). Adjusted comparison of vaccination status between inpatient and outpatient cases with influenza B did not show statistically significant differences (odds ratio: 1.13; p = 0.878). These results suggest a high protective effect of the vaccine in the 2012-2013 season, with no differences found for the effect between outpatient and hospitalized cases.

Indexed as

Influenza B virusAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolElectronic Health RecordsFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanInfluenza VaccinesInpatientsMaleInfluenza Vaccinescase-control studyCI, confidence intervaleffectivenessILI, influenza-like illnessinfluenzainfluenza B virusinfluenza vaccineOR, odds ratioRT-PCR, reverse transcription polymerase chain reactionsentinel surveillanceVE, vaccine effectiveness

Identifiers

PMID25996366
PMCPMC4514388
OpenAlexW1886385207

What OpenQuestion holds

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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.