Evidence map›Paper›PMID 29724023›Full record

ArticleVaccines2018

Should UK Pneumococcal Vaccine Eligibility Criteria Include Alcohol Dependency in Areas with High Alcohol-Related Mortality?

John D Mooney, Michael Imarhiagbe, Jonathan Ling

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2018. 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, top 95% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

John D MooneySchool of Nursing and Health Sciences, University of Sunderland, Sunderland SR1 3SD, UK. john.mooney@sunderland.ac.uk.ORCID 0000-0002-6639-8491
Michael ImarhiagbeSchool of Nursing and Health Sciences, University of Sunderland, Sunderland SR1 3SD, UK. bg51vv@student.sunderland.ac.uk.
Jonathan LingSchool of Nursing and Health Sciences, University of Sunderland, Sunderland SR1 3SD, UK. jonathan.ling@sunderland.ac.uk.
University of Sunderland · GB

Funding

Medical Research Council MR/K02325X/1
6 · The paper itself

Abstract

A recently reported steep increase in the incidence of invasive pneumococcal disease (IPD) in adults in the North East of England was primarily associated with pneumococcal sero-types found in the 23-valent pneumococcal polysaccharide vaccine (PPSV23). This region also has one of the highest rates of alcohol-related premature mortality and morbidity in the UK. Given that alcohol dependence is long acknowledged as one of the strongest risk factors for IPD mortality, we feel there is an increasingly compelling case to look again at the divergence of UK vaccine guidance from that of the World Health Organisation and the Centre for Disease Control in the USA, in the non-inclusion of alcoholism as an indicator condition that would potentially benefit from receiving PPSV23 vaccine. Such a re-think would represent a responsible evaluation of vaccination guidance in the face of newly emerging epidemiological findings and would have the potential to save lives in a very marginalised and vulnerable section of the population. We propose therefore that alcohol dependency (now referred to as alcohol use disorder), should be re-considered an indicator condition for receiving pneumococcal vaccine in North East England, where mortality from pneumococcal disease has been rising and which already has an excessive burden of alcohol-related mortality.

Indexed as

alcoholismalcohol use disordermortalitypneumococcal vaccinesrisk factors

Identifiers

PMID29724023
PMCPMC6027398
OpenAlexW2800475354

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.