Evidence map›Paper›PMID 38224198›Full record

ArticleBritish medical bulletin2024

Influenza: cause or excuse? An analysis of flu's influence on worsening mortality trends in England and Wales, 2010-19.

Lucinda Hiam, Martin McKee, Danny Dorling

Abstract read
In one paragraph

Article in British medical bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Lucinda HiamUniversity of Oxford, School of Geography and the Environment, South Parks Road, Oxford OX1 3QY, UK.ORCID 0000-0002-6394-0978
Martin McKeeDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK.ORCID 0000-0002-0121-9683
Danny DorlingUniversity of Oxford, School of Geography and the Environment, South Parks Road, Oxford OX1 3QY, UK.ORCID 0000-0001-9519-0537

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEngland and Wales experienced a stagnation of previously improving life expectancy during the 2010s. Public bodies cited influenza as an important cause. SOURCES OF DATA: We used data from the Office for National Statistics to examine mortality attributed directly to influenza and to all influenza-like diseases for the total population of England and Wales 2010-19. Several combinations of ICD-10 codes were used to address the possibility of under-counting influenza deaths. AREAS OF AGREEMENT: Deaths from influenza and influenza-like diseases declined between 2010 and 2019, while earlier improvements in mortality from all causes of death were stalling and, with some causes, worsening. Our findings support existing research showing that influenza is not an important cause of the stalling of mortality rates 2010-19. AREAS OF CONTROVERSY: Influenza was accepted by many as an important cause of stalling life expectancy for much of the 2010s, while few in public office have accepted austerity as a key factor in the changes seen during that time. GROWING POINTS: This adds to the mounting evidence that austerity damaged health prior to COVID-19 and left the population more vulnerable when it arrived. AREAS FOR DEVELOPING TIMELY RESEARCH: Future research should explore why so many in public office were quick to attribute the change in trends in overall mortality in the UK in this period to influenza, and why many continue to do so through to 2023 and to deny the key role of austerity in harming population health.

Indexed as

Influenza, HumanCause of DeathEnglandHumansLife ExpectancyWalesausterityinfluenzalife expectancymortality

Identifiers

PMID38224198
PMCPMC10938544

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Registered trials

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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.