Evidence map›Paper›PMID 37559086›Full record

ArticleBMC medicine2023

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

Naomi R Waterlow, Simon R Procter, Rosalind M Eggo, Mark Jit

Abstract readLetterComment
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Naomi R WaterlowCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK. lsh1402815@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-9210-9657
Simon R ProcterCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Rosalind M EggoCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Mark JitCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently published an article in BMC Medicine looking at the potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study. In their commentary on our article, Lafond et al. highlight the potential importance of the wider benefits of vaccination on cost-effectiveness. Whilst we agree with many points raised in the commentary, we think it raises further interesting discussion points, specifically around model complexity, model assumptions and data availability. These points are both relevant to this manuscript but have wider implications for vaccine cost-effectiveness studies.

Indexed as

Influenza, HumanInfluenza VaccinesChildCost-Benefit AnalysisHumansKenyaVaccinationInfluenza VaccinesAssumptionsBurdenComplexityCost-effectivenessInfluenzaMathematical modellingNext-generation vaccinesVaccines

Identifiers

PMID37559086
PMCPMC10411004

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.