Evidence map›Paper›PMID 37501176›Full record

ArticleBMC medicine2023

Estimating the full health and economic benefits of current and future influenza vaccines.

K E Lafond, R Gharpure, V G Dugan, E Azziz-Baumgartner

Open access · goldAbstract readLetterComment
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Influenza vaccine: a review on current scenario and future prospects.Journal, genetic engineering & biotechnology · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

K E LafondInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, 30307, USA. gmj3@cdc.gov.ORCID http://orcid.org/0000-0001-5018-9591
R GharpureInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, 30307, USA.
V G DuganInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, 30307, USA.
E Azziz-BaumgartnerInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, 30307, USA.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the dynamic landscape of respiratory virus vaccines, it is crucial to assess the value of novel mRNA and combination influenza/COVID-19 vaccines in low- and middle-income countries. Modeling studies, such as the one conducted by Waterlow et al., provide vital information about the cost-benefit potential of these products compared to currently licensed vaccines. However, this approach only accounts for directly measured medically attended influenza-associated illnesses and has two major limitations. First, this method fails to capture the full disease burden of influenza (including non-respiratory and non-medically attended influenza illnesses), which are particularly important drivers of disease burden in infants and older adults. Second, the model does not describe the ancillary benefits of influenza vaccination such as the attenuation of severe disease, prevention of severe non-respiratory outcomes (e.g., myocardial infarctions), or reduced antibiotic use. To obtain a comprehensive understanding of the benefits of influenza vaccines, we must strive to improve the inputs for future modeling-based evaluations.

Indexed as

COVID-19Influenza, HumanInfluenza VaccinesAgedChildCost-Benefit AnalysisCOVID-19 VaccinesHumansInfantKenyaVaccinationCOVID-19 VaccinesInfluenza VaccinesBurden of diseaseCost-effectivenessGlobal healthInfluenzaVaccines

Identifiers

PMID37501176
PMCPMC10373290
OpenAlexW4385304692

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.